data management complete study guide

CDMP Certified Data Management Professional

Data Management Examination Guide

Data Exam Series Vol. 1

The Education & Research

Affiliate of DAMA International

The Data Management Examination Guide

Acknowledgement is made for permission to use the full exam outline from the jointly developed DAMA International Institute for Certification of Computing Professionals (ICCP) Data Management exam outline, copyright 2006 ICCP. Written by Diane C. Johnson, PMP, for DAMA International & DAMA International Foundation. Published by DAMA International & DAMA International Foundation, Bellevue, WA, U.S.A.

Data Management Examination Guide Data Exam Series, Vol. 1 To order copies, please contact

[email protected] PO Box 5786 Bellevue, WA 98006-5786 1-425-562-2636 www.dama.org

For exam administration questions, please contact

[email protected] or call 1.800.843.8227 2350 E. Devon Avenue, Suite 115, Des Plaines, IL 60018 USA www.iccp.org

Copyright 2006 by DAMA International & DAMA International Foundation All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form, or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the publisher. ISBN 0-9676674-3-7 First Edition, April 2006

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Copyright 2006 by DAMA International & DAMA International Foundation. All rights reserved.

mailto:[email protected]://www.dama.org/mailto:[email protected]://www.iccp.org/


Table of Contents Introduction......................................................................................................................... 4

How Do You Obtain a CDMP? ...................................................................................... 5 CDMP Examination Criteria........................................................................................... 5 Additional CDMP Certification Criteria......................................................................... 6 Recommended Exams Based on Candidates Work Experience.................................... 8 Preparation for Taking Exams ........................................................................................ 9 Taking CDMP Exams ..................................................................................................... 9 Professional Development / Recertification ................................................................. 10 CDMP Contact Information.......................................................................................... 10

ICCP Data Management Specialty Examination Outline................................................. 12 How To Read The Data Management Subject Outline ................................................ 12 Data Management Exam Subject Outline..................................................................... 13

1.0 Data Management Function........................................................................................ 21 Overview....................................................................................................................... 21 Topics............................................................................................................................ 21 Questions....................................................................................................................... 22 Quick Answers.............................................................................................................. 33 Detailed Answers .......................................................................................................... 34

2.0 Data & Metadata Infrastructures Creation / Maintenance .......................................... 42 Overview....................................................................................................................... 42 Topics............................................................................................................................ 42 Questions....................................................................................................................... 43 Quick Answers.............................................................................................................. 51 Detailed Answers .......................................................................................................... 52

3.0 Data Analysis and Modeling....................................................................................... 57 Overview....................................................................................................................... 57 Topics............................................................................................................................ 57 Questions....................................................................................................................... 58 Quick Answers.............................................................................................................. 76 Detailed Answers .......................................................................................................... 77

4.0 Data / Metadata Infrastructure Management .............................................................. 88 Overview....................................................................................................................... 88 Topics............................................................................................................................ 88 Questions....................................................................................................................... 89 Quick Answers.............................................................................................................. 96 Detailed Answers .......................................................................................................... 97

5.0 Information Quality Management............................................................................. 102 Overview..................................................................................................................... 102 Topics.......................................................................................................................... 102 Questions..................................................................................................................... 103 Quick Answers............................................................................................................ 114 Detailed Answers ........................................................................................................ 115

Selected Bibliography..................................................................................................... 122

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Introduction The Certified Data Management Professional (CDMP) credential validates knowledge and experience of Data Management Professionals. CDMP Credentials can be a doorway to opportunities either measuring your standing by demonstrating Mastery level or providing a starting point for new professions through a Practitioner designation. The Certified Data Management Professional (CDMP) credential is awarded to those who qualify based on a combination of criteria including education, experience and test-based examination of professional level knowledge. To maintain certified status and continued use of the credential, an annual recertification fee along with a 3-year cycle of continuing education and professional activity is required. The Data Management Association International (DAMA) authorizes the Certified Data Management Professional certification program and granting of the CDMP designation in partnership with the Institute for Certification of Computing Professionals (ICCP), which administers testing and recertification. The ICCP Data Management exam is meant to be an experience exam, meaning that it tests what you know at the time. This study guide is meant to be a refresher to test taking and the concepts behind data management. You can focus on the sections that you need to learn, or take the practise exam to see where your strengths lie. The study guide is broken down into the five major sections of the exam:

1.0 Data Management Function 2.0 Data & Metadata Infrastructures Creation / Maintenance 3.0 Data Analysis and Modeling 4.0.Data / Metadata Infrastructure Management 5.0 Information Quality Management

The DAMA International Foundation welcomes feedback on this Study Guide, as revisions will occur in the future. We encourage you to let us know how you are using these materials and how they might be improved. Your comments can be sent to: Vice President of Education, [email protected]

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Overview of the Certified Data Management Professional (CDMP) Certification Program

How Do You Obtain a CDMP? The CDMP certification process is as follows:

1. Fill out an application (from www.dama.org or www.iccp.org). 2. Arrange to take the exam(s). 3. Pass the IT Core exam (required). 4. Take two specialty exams. 5. One specialty exam must be taken from

a. Data Management b. Data Warehousing c. Database Administration

6. Meet the experience and education qualifications. 7. Sign the ICCP code of ethics.

There is a professional development / recertification aspect to keeping your certification current after you are certified. This recertification activity is handled through the ICCP office. CDMP Examination Criteria Three ICCP exams must be passed with the following scores:

Score Credential Earned Pass all exams at 50% or higher CDMP Practitioner Certificate Pass all exams at 70% or higher CDMP Mastery Certificate

The CDMP Practitioner certification is awarded to professionals who scored above 50% on all three exams. These individuals can contribute as a team member on assigned tasks for they have a working knowledge of concepts, skills and techniques in a particular data specialization. The CDMP Mastery certification is awarded to professionals who scored 70% or higher on all three exams. These individuals have the ability to lead and mentor a team of professionals as they have mastered the concepts, skills and practices of their data specialization. Exams may be retaken to improve your score and go from the Practitioner to the Mastery certificate level. You may be able to substitute select vendor certifications for up to one specialty exam.

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http://www.dama.org/http://www.iccp.org/


Additional CDMP Certification Criteria The following criteria must also be met in order to qualify for the CDMP:

CDMP Criteria CDMP Practitioner Certificate

CDMP Mastery Certificate

# Years Data Professional Work Experience

2 4+

Substitute Up to 2 Years Bachelor or Master Degree in an appropriate discipline for Work Experience

2 2

Recertification Required

Yes Yes

Continuing Professional Education/Activity Required

120 hours every 3-year cycle

120 hours every 3-year cycle

ICCP Code of Ethics Yes Yes

Sample Qualifications for the CDMP Other qualifications may be accepted. Check with the DAMA contacts or ICCP office. Education Bachelor of Science Degree Major in:

Computer Science Information Systems Management Information Systems Information and Communications Technology Major in another discipline with minor in any of the above

Masters Degree Computer Science Information Systems Information Resource Management Information and Communications Technology MBA with concentration in one of the above

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Work Experience Sample qualifying position/role titles:

VP, Director, or Manager of Data Management Data Architect, Data Administrator, Data Analyst, Data Modeler Data Specialist, Database Administrator, Data Warehousing Analyst Systems Architect, Systems Analyst, Project Manager, Project Leader Business Analyst, Repository Analyst, Repository Architect

Professional Examinations The CDMP requires three ICCP exams: IT Core, one specified data oriented exam, and one other exam. If you already passed one or more ICCP exams, these exams can be used toward a CDMP if considered current by ICCP standards, and the exams are listed within your CDMP area of specialization. For information on your status, contact the ICCP. If you wish to demonstrate expertise in exam specialty areas specifically, the ICCP will issue Expert (Proficiency) Certificates for each specialty exam passed at 70% or higher. If you wish to know how these exams were developed, go to (http://www.iccp.org/iccpnew/iwg2.html). These exams are product and vendor neutral, and international in scope.

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http://www.iccp.org/iccpnew/iwg2.html


Suggested Exams Based on Candidates Work Experience The following table shows the Data Management areas by which ICCP exams are either suggested (S) or your choice (C) for a total of three exams. The IT Core exam is required for all candidates. Your work experience in the field will let you determine what exams you are best suited to pass.

ICCP Exams Mgmt Architecture Data Analysis & Design

DBA Data Ware-

housing

Metadata / Repository

Mgmt

Data / Information

Quality (Future)

IT Core Reqd Reqd Reqd Reqd Reqd Reqd Reqd

Specialty Exams

Data Management S S S C C S S

Database Administration

C C S C C C

Data Warehousing C C C S C C

Integrated Project Mgmt

C C C C

IT Management C C C

Systems Development

C C C C

Object Oriented Analysis & Design

C

Systems Security C

Future ICCP Exams

Business Intelligence & Analytics

S

Data & Information Quality

C C C C S

Acceptable Exam Substitutes (Third Party)

C C C C C C C (future: e.g. MIT or Berkeley DQ programs)

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Accepted Vendor/Training Certifications Any of the following certifications may be substituted for one of the "candidate's choice" specialty exams required for the CDMP. Other certification programs may be accepted, but need to be evaluated. Check with the ICCP office or the DAMA contacts. IBM - IBM Certified Database Administrator - DB2 Universal Database - IBM Certified Advanced Database Administrator DB2 Universal Database - IBM Certified Solutions Expert - DB2 Universal Database - IBM Certified Solutions Expert - DB2 Content Manager Information Engineering Services Pty Ltd - Certified Business Data Modeller Insurance Data Management Association (IDMA) - Certified Insurance Data Manager Microsoft - Microsoft Certified Database Administrator NCR (Teradata) - Teradata Certified Professional Oracle - Oracle (xx) Certified Professional - Oracle9i Database Administrator Certified Professional (for Practitioner Level CDMP) - Oracle9i Database Administrator Certified Master (for Mastery Level CDMP) Project Management Institute - Project Management Professional (PMP) Preparation for Taking Exams There are various ways of learning the process of taking ICCP exams:

Sponsor ICCP Exam Review courses for your DAMA chapter membership Refer to the exam subject outlines (at level 1 & 2) posted on

http://www.iccp.org/iccpnew/outlines.html to become familiar with the subject coverage of each exam

Contact the ICCP for the CDMP Study Guide which covers all the exams in the CDMP program and has sample exams/questions for self-study

Contact DAMA International for the Data Management Exam Study Guide. Other individual data exam study guides are planned for the future.

The ICCP exams are also offered at the DAMA International Symposiums. Taking CDMP Exams ICCP Testing can be done anywhere in the world, with an approved ICCP Proctor to verify physical identity and supervise/invigilate the delivery of the examination.

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http://www.iccp.org/iccpnew/outlines.html


A DAMA chapter can set up exam sessions during their chapter meetings. What is needed is a volunteer proctor from the chapter. A proctor is an individual authorized by ICCP to oversee the writing of an exam by an ICCP exam taker. This person must meet specific guidelines (http://www.iccp.org/iccpnew/testing.html) and be willing to supervise the exam taker. The ICCP reserves the right to reject proposed proctors. Contact [email protected] or phone 847.299.4227 or 800.843.8227 if you require assistance in determining an appropriate proctor. The exams run off the USB drive of an individuals laptop. There are 110 questions with 110 being scored and 10 are beta questions to complete in 90 minutes. You will not know which type of question you are answering. Questions and possible distracters (answers) are randomly listed in a different order for each exam taker. Therefore, although this guide contains sample questions that allow for all or none of the above type answers meant for study purposes, you will not find this type of answer to choose from on the actual exam. Computer based testing allows for the immediate scoring after the exam is taken. An ICCP Performance Profile is then available for downloading, and one will be sent later to the individual by the ICCP. This Profile shows your exam strengths and weaknesses. Professional Development / Recertification To keep your CDMP current, you must earn 120 approved contact hours of continuing education over a 3-year period. Many educational activities count including DAMA Symposiums and chapter meetings. For further information, contact the ICCP ([email protected]) for an ICCP Recertification Guidelines Booklet or go to www.iccp.org/iccpnew/Recertification%20Guidelines2005.pdf. Recertification credits can be entered on an ICCP Educational Activity Form or through www.iccp.org/cgi-win/pdform.exe. Your DAMA chapter can also keep track of meeting attendance for the purpose of recertification and submit on a timely basis. There is an annual maintenance fee to ICCP for keeping track of your recertification credits. You will receive an annual transcript from the ICCP. CDMP Contact Information For Questions on the CDMP Certification Program: Contact DAMA International ICCP Directors at: [email protected] or [email protected] To Order the DAMA Data Management Examination Guide: [email protected] P.O. Box 5786 Bellevue, WA 98006-5786 415-562-2636

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http://www.iccp.org/iccpnew/testing.htmlmailto:[email protected]:[email protected]://www.iccp.org/iccpnew/Recertification Guidelines2005.pdfhttp://www.iccp.org/cgi-win/pdform.exemailto:[email protected]:[email protected]


The DAMA website is www.dama.org for further information and an application. To Order the ICCP CDMP Study Guide or For Questions on CDMP Testing, Administration and Recertification: Contact the ICCP Office at: 847-299-4227 or 800-843-8227 (phone) 847-299-4280 (fax), or [email protected]. The ICCP website is www.iccp.org for further information and an application.

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http://www.dama.org/mailto:[email protected]://www.iccp.org/


ICCP Data Management Specialty Examination Outline

How To Read The Data Management Subject Outline In the examination outline, a consistent set of syntax conventions has been used:

Outline elements with numeric level leaders imply inclusivity. Concepts not within the numbered structure will not be tested.

Outline elements with a bullet leader are examples to clarify the content of a numbered element, and are not necessarily inclusive.

Numbers in parentheses after an element name indicate the number of questions in the exam, which will be presented on the subject indicated by the element name and all subordinate elements. These allocations are guidelines established by the Test Management Council, and are followed as closely as possible in selecting questions for the exam. There are 100 multiple-choice questions on each exam version and this outline reflects this total.

The characters D# after an element name indicate the target depth of questions to be posed on the subject indicated by the element name and all subordinate elements. The depths of knowledge are defined as follows:

D1 Recognition Knowing what a concept is called. D2 Differentiation Knowing the external differences between a concept and a

neighboring concept. D3 Description Knowing the external characteristics of a concept. D4 Usage Knowing how to use instances of the concept and why. D5 Structure Knowing the internal structure of the concept its

components and the relationships among these components. D6 Construction Knowing how to put together instances of the concept

tailored to specific purposes.

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Data Management Exam Subject Outline 1.0. Data Management Function (18) Section 1 Total

1.1 Planning (8) D4

1.1.1. Scope & Charter Data Management customer base Vision, goals, objectives Functions / services

1.1.2. Data Management Plans Strategic data management plan (linked to business plan) Organizational structure plan and budgets Metadata management budgets, metrics, audits Data management oversight/control, e.g., data standards approval

committee, technology change management committee, data management process change management committee, enterprise data management board of directors

Enterprise data / information framework Data portfolio management plan Relationship management plan (vendor, customer, employee) Data quality management plan Data management process maturity improvement plan Data and data management configuration management plan Data and data management standards management plan

1.1.3. Policies / Standards / Processes / Procedures / Guidelines Internal to data management organization Customer data / metadata guidelines

1.2. Organization (2) D3

1.2.1. Types of Staff Training Orientation for new employees Continuing education for required skills, retraining

1.2.2. Communication Marketing data services and benefits Customer education / training Publishing newsletters and web site news

1.3. Roles & Responsibilities (8) D3

1.3.1. Data Administration Data planning, policy development Data architecture

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Data requirements modeling: conceptual (entity types and their relationships), logical (ERA), and physical (database design)

Data model management Data resource control and quality Standards management, setting, communication and enforcement Liaison with Database Administrators, Business Analysts, Management,

Users 1.3.2. Metadata Administration

Metadata planning, policy development Metadata requirements gathering Metamodeling (metadata modeling) Metadata tool administration (metadata registries and repositories)

1.3.3. Database Administration Definition and organization of physical database Protection and recovery of physical database Data archiving and deletion Optimization and documentation of physical databases Liaison with Data Administrators, Business Analysts, Management, Users

1.3.4. Data Warehouse Administration Warehouse modeling, design, implementation, and operation Operational data store modeling, design, implementation, and operation Data access administration

1.3.5. Information Stewardship Business information steward Managerial information steward Physical data trustee Originator of business rules Information producer Data quality accountability Metadata creation Information usage and knowledge worker stewardship

1.3.6 Configuration Management Database Data models Data standards Metadata management tools

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2.0 Data & Metadata Infrastructures Creation / Maintenance (15) Section 2 Total

2.1 Planning for Data & Metadata (6) D4

2.1.1 Architectures Enterprise Data Data Sourcing Data Distribution Data Integration Change Authorization Zachman Framework Data Processing Architectures (i.e. client-server, distributed data, etc.) Metadata Architectures

2.1.2. Data Architecture Methods Information Engineering Enterprise Architecture Planning Data Life Cycle Data Reengineering Prototyping

2.2.Tools and Technology Types (9) D3

2.2.1. Data Database Management Systems (DBMS & ODBMS) Data modeling tools Extract, transform, and load (ETL) tools

2.2.2. Metadata & Descriptive Information Data dictionaries Data directories Data encyclopaedias Metadata registries (e.g. ISO/IEC 11179) Metadata repositories

2.2.3. Data Issues Business intelligence technologies (OLAP, Data Mining, etc.) Data management and the Internet / Intranet Data management and unstructured data

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3.0. Data Analysis and Modeling (37) Section 3 Total

3.1. Data / Metadata Analysis & Design (6) D5

3.1.1. Fact Finding Techniques Interviewing Surveys, questionnaires JAD sessions Legacy systems analysis

3.1.2. Requirements Definition and Management Evaluation of current environment and documentation Future state Gap analysis Business rules (discovery, validation and documentation) Data / process matrices Requirements tracking and management to implementation

3.2. Data Model Components (21) D5

3.2.1. Logical Data Model Entity type Relationship type Attributes and their roles Definitions Key Cardinality Optionality Metadata type Rules: Business / data integrity Normalization

3.2.2. Dimensional Warehouse Fact Dimension

3.2.3. Object Oriented / UML Object Class type Attribute type Relationship type

3.2.4. Data Representations in Process Models Business views / presentation level Trigger Stored procedure Object method

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3.3. Data / Metadata Model Management (10) D5

3.3.1. Types of Data Models Conceptual Logical Physical Data warehouse Metamodels / meta-metamodels Universal / industry models Object class Data life cycle

3.3.2. Scope of Model and Metadata Enterprise wide Business area Project oriented Subject area

3.3.3. Data Model Support Creation Maintenance Version control Comparison Merging Importing / exporting Linkages and mappings between enterprise, logical, physical data models,

and process models

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4.0.Data / Metadata Infrastructure Management (12) Section 4 Total

4.1. Standards, Policies, Procedures, Guidelines (7) D5

4.1.1. Standards Management Process Awareness of external standards, e.g. ANSI and ISO/IEC data and data

management related standards Creation/identification Approval Enforcement Maintenance

4.1.2. Data Models Naming conventions for entities, relationships, attributes, etc. Business and data integrity rules

4.1.3. Data Elements Element types Naming conventions Metadata / definition principles Legacy element linkages Data element audit

4.2. Data Security and Privacy (5) D3

4.2.1 Data Security Principles Accountability Authorization Availability

4.2.2. Data Security Policy Types Data stewardship and trustee responsibilities Data and instance value access sensitivities (e.g. privacy, corporate

confidentiality, data aggregation sensitivity issues) Trans-border data flow Data content

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5.0. Information Quality Management (18) Section 5 Total

5.1. Information Quality Principles (6) D3

5.1.1. Definition Data and Information Information quality Data definition as Information Product Specification Data definition quality Information architecture (data model) quality Business drivers Costs of nonquality information

5.1.2. Information Quality Characteristics Conformance to definition Completeness Validity Accuracy Precision Non duplication Consistency of redundant data Timeliness Usefulness Objectivity (of presentation) Presentation clarity

5.1.3 Data Definition (or Information Product Specification) Quality Characteristics

Properly formed name, in accordance with approved naming convention standard

Standard, single enterprise abbreviations for new development Name appropriate to knowledge workers Correct, clear, and complete definition Business term (used in data definition) defined in glossary Correctly specified value domain and definition (of code values) Properly defined data value type (not just alphanumeric, etc., but domain

type (corresponding to class words, e.g., data, code, amount, ID, etc.) Correct, complete, and useful business rule specification

5.2. Information Quality Assessment / Audit (4) D4

5.2.1. Quality Assessment Characteristics Data definition quality assessment process/techniques Data model / requirements quality assessment process/techniques

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5.2.2. Quality /Cost Measurement

Baseline data cost calculation (Measurement of cost of redundancy and interfaces)

Cost of non quality information Value chain relationship between quality information and business drivers

5.3. Information Quality Improvement (8) D3

5.3.1. Data Corrective Maintenance Data correction of defective data Redesign processes/systems producing poor quality data content or

presentation 5.3.2. Data Movement Control

Mapping, transforming, data for data movement planning Quality audit and control of data movement

5.3.3. Information Quality Process Improvement Root Cause Analysis and Cause-and-Effect Diagrams Shewhart Cycle (Plan-Do-Check-Act) process for improvement Information defect prevention techniques

5.3.4. Information Quality Culture Transformation Employee training in information quality techniques Management accountability for information quality (managerial

information stewardship Information quality management maturity assessment Gap analysis Information quality performance measures

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1.0 Data Management Function Overview The Data Management mission consists of goals and objectives that guide the creation, use, management and deletion of data across enterprise. Data Managements needs to be planned into overall Information Technology Strategy which is linked to the Business plan. To support the functions and services related to Data Management within the organization, a dedicated group of professionals with oversight committees need to be in place e.g., data standards approval committee, technology change management committee. An important aspect of data management oversight is to establish common Policies, Standards Procedures and Guidelines for data ontology. Support services of training and communication will further the knowledge and usage of Data Management within an organization. When new employees are hired, orientation sessions are required from the Data Management group to gain an understanding of the data environment and the use of data to do their job. For individuals involved in the day-to-day management of the data, the training should be comprehensive and potentially involve mentoring of the Data Policies, Standards, Procedures and Guidelines. Communication of data services and updates through the use of newsletters assists in keeping the organization up-to-date with the progress and accomplishments of the group. To support the Data Management Function, major roles and responsibilities for managing data need to be defined. There are no standards that define titles or team structure. Typically, there is a Manager role for the group that is responsible for planning, organizing and directing, plus may be a subject matter specialist. The job descriptions outlined in this section are based on standard guidelines of job titles and responsibilities based on experience. Topics

Data Management Planning Data Management Scope & Charter Data Management Plans Policies / Standards / Processes / Procedures / Guidelines

Data Management Organization Types of Staff Training Communication

Roles & Responsibilities Data Administration Metadata Administration Database Administration Data Warehouse Administration Information Stewardship Configuration Management

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Questions 1.1. Planning

1.1.1 Scope & Charter 1. What is the primary mission/vision of Data Management?

A. To facilitate the development, management, and use of the data resources as a vital asset.

B. Committed to excellence. C. Database maintenance and enhancement for production application systems D. Data analysis and modeling for projects in planning or analysis

2. Which is not an objective of Data Management?

A. Maintain the physical integrity and efficiency of data resources. B. Education about the benefits of and methods for enhancing data quality. C. Provide the architecture and guidelines for documenting and implementing data

resources. D. Provide a cost effective and robust document and content management

capabilities, workflow and business process management capabilities. 3. Which of the following is not a valid scope of Data Management Function?

A. Requirements analysis and modeling B. Enterprise-wide data coordination, integration, stewardship and use C. Data security and quality D. Economies of scale in purchasing.

4. Which one of the following is not a typical type of service in a Data Management function?

A. Support for warehouse initiatives. B. Database maintenance and enhancement for production application systems C. Database design for projects in development D. Data analysis and modeling for projects in planning or analysis

1.1.2 Data Management Plans 5. The goal of the Data Management Plan is to describe the resources and process used to ensure high quality data. The Data Management Plan is usually part of what overall strategy?

A. Information Technology Strategy B. Information Technology Infrastructure Strategy C. Application Infrastructure Plan D. Information Technology Architecture Plan

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6. A Data Management Plan is usually part of what overall strategy?


7. Which one of the following is not a part of a Data Management Plan?

A. Describe the roles and resources of program staff. B. Define future direction of data management activities in a work plan. C. Implement facilities and tools for managing metadata resources. D. Development of a quality management plan.

8. Which Committee is not an oversight committee regarding Data Management?

A. Data Standards Approval Committee B. Data Management Process Change Management Committee C. Enterprise Data Management Board of Directors D. Project Change Committee

9. What is the purpose of conducting a metadata management audit?

A. To ensure metadata management controls have achieved intended results. B. Provide an additional source of information for the budget. C. To determine that decisions made in a timely fashion with appropriate

criteria/guidance that uses all necessary data/information from automated systems and, if applicable, users.

D. To determine that all appropriate policies/procedures been developed, disseminated, kept up to date, and test checks made to ensure compliance.

10. Benchmarking will provide comparative information. Which of the following is not a result of benchmarking?

A. Efficiency and how well resources and services (outputs) are delivered B. Quality of services and extent to which customers are satisfied (outcomes) C. Measure for evaluating outcomes or the results of program activity compared to

its intended purpose and program objectives D. Best practices

11. Which role is not typically involved in a data management oversight committee?

A. Program Director/Manager B. Users C. Database Administrator D. Data Analysts

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12. Which one of the following is not a benefit of a strong data portfolio management program?

A. Maximize value of IT data investments while minimizing the risk B. Improve communication and alignment between technology and business. C. Encourage reuse of data throughout the organization. D. Allow planners to schedule resources more efficiently.

13. Which one of the following is least desirable benefit of Enterprise data / information framework?

A. Provides enterprise-wide definitions of concepts and data. B. Provides a scoping tool for new initiatives. C. Reduces data redundancy by providing transparency as to the meaning of data

items D. Encourages re-use and consistent data structures across the enterprise

14. What party would not be considered when creating a relationship management plan?

A. Vendor / Supplier B. Customer C. Employee D. President

15. A Relationship Management Plan when dealing with vendors / suppliers should be part of which overall strategy?

A. Procurement Strategy B. Quality Management Strategy C. Enterprise Architecture Strategy D. IT Strategy

16. Which area does a Quality Management Plan does not address?

A. Quality policies and procedures. B. Roles, responsibilities and authorities. C. Description of quality system. D. Meta-metamodel

17. Which one of the following is not true when describing Capability Maturity Model Integration (CMMI)?

A. Model framework to assess data and process maturity. B. Model framework to determine priorities. C. Model framework to institute process and data improvement. D. Defines six levels of process maturity.

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18. What level is organizations CMMI maturity, if the data management requirements are not being met?

A. Level 0 B. Level 1 C. Level 2 D. Level 3

19. What level is organizations CMMI maturity, if the data management requirements are being met?


20. What level is organizations CMMI maturity, if the data management requirements are being managed and tracked?


21. What level is organizations CMMI maturity, if the data management requirements meet EIA Standard 859 Industry Standard for Data Management that includes nine high level Data Management Principles?


22. Which one is not the purpose of the data management configuration management plan?

A. Identify and describe the overall policies and methods for Configuration Management.

B. Establish and provide the basis for a uniform and concise Configuration Management practice

C. Manage the data for its entire lifecycle. D. Retain data commensurate with value.

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23. Who is responsible for developing and implementing Data-Management planning for projects, for ensuring that the activities are completed according to agreed standards and timelines and for coordinating ongoing data management to support the business?

A. Data Manager B. Data Analyst C. Database Administrator D. Business Manager

1.1.3 Policies / Standards / Processes / Procedures / Guidelines 24. What is the following statement: Data archives must include easily accessible information about the data holdings, including quality assessments, supporting ancillary information, and guidance and aids for locating and obtaining the data?

A. Policy B. Standard C. Procedure D. Guideline

25. What is the following statement: Contact Information offers data groupings that are used to describe a point of contact, address, and communication information?


26. What is the following statement: To keep the hard drives from getting full, please back-up your data. 1. Put CD data you want to back up in one folder. The name of the folder is the name of the CD. 2. Start the "Backup" program. 3. Click on "Data." 4. Move the data you want to back up in "Data window." 5. Click on "Done." 6. Put the CD in the CD-R and close the door. 7. Write the CD.


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27. What is the following statement: Aggregation of data values is appropriate for fields with a large numbers of values, such as dates, age, and geographic areas; it is the primary method used to collapse a dataset in order to create tables with no small numbers as denominators or numerators in cells?


28. What is the following statement: Data custodians are responsible for creating and maintaining metadata for their datasets?


29. Which of the following is the best answer for the definition of cost when following the metadata procedure, to state what the concept is, not only what it is not.

A. Total spent for goods or services including money and time and labor. B. Cost is a price paid. C. Costs, which are not related to external costs. D. Direct cost to the business owner of those items, which will be sold to customers.

1.2. Organization 1.2.1. Types of Staff Training 30. Which one of the following is not appropriate for an orientation of the data environment for new employees?

A. Acronym list. B. Customer Service Policy. C. Data Policy and Procedure. D. WWW Design and Programming.

31. When embarking on continuing education for required skills or retraining, which training method is least desirable?

A. Mentoring with another employee. B. Workshops and seminars. C. Classroom or computer based courses. D. Booklets and information sheets.

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1.2.2. Communication

32. Which one of the following is the least beneficial when promoting data services? A. Communicating data services and benefits. B. Publishing newsletters and web site news. C. Customer education and training. D. Convening a meeting of the Organizations Management Team.

1.3. Roles & Responsibilities 1.3.1. Data Administration 33. Who is responsible for identifying and analyzing information needs for the enterprise or business area, and develops and maintains data architecture?

A. Data Administrator B. Manager, Data Administration C. Data Administration Consultant D. Database Administrator

34. Which one is not a responsibility of the Data Administrator?

A. Identify and analyze customer information needs. B. Develop and maintain data architecture. C. Develop and maintain strategic data plan. D. Provide approval authority over metadata policies and design.

35. When hiring a Data Administrator which skill is the least preferred?

A. Relational Database experience. B. Logical and Physical Data Modeling. C. Project Management experience. D. Strong written and oral communication skills.

36. Which role would a Data Administrator not typically interact?

A. Business Analyst B. CEO C. Repository Administrator D. Management

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37. Who is responsible for planning, organizing, directing and controlling data definition, data use, and ensure data availability for the enterprise?

A. Data Administrator B. Manager, Data Administration C. Metadata Administrator D. Database Administrator

1.3.2. Metadata Administration 38. Who is responsible for creating, administrating and enforcing of standards, guidelines and procedures for the use of metadata?

A. Data Administrator B. Manager, Data Administration C. Metadata Administrator D. Database Administrator

39. Which is not a responsibility of the Metadata Administrator role?

A. Establish and maintain the metadata architecture. B. Provide approval authority over metadata policies and design. C. Maintain repository security profiles. D. Provide final review and approval authority over data design for an application

system. 40. In a company with a Metadata team, which role would collect the requirements and design the metadata solution?

A. Metadata Administrator. B. Manager, Metadata Administration. C. Metadata Analyst. D. Metamodelers.

1.3.3. Database Administration 41. Which responsibility is not typically a responsibility of the Database Administrator?

A. Establish and maintain sound backup and recovery policies and procedures. B. Implement and maintain database security (create and maintain users and roles,

assign privileges). C. Perform database tuning and performance monitoring. D. Perform application tuning and performance monitoring.

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42. Which role would a Database Administrator not typically interact?

A. Business Analyst B. CEO C. Data Administrator D. Management

43. When hiring a Database Administrator which skill is the least preferred?

A. Relational Database, related utilities and tools experience. B. Physical Data Modeling. C. Ability to perform both Relational Database and Operating System performance

tuning and monitoring. D. Network security administration.

44. Which role in an organization would develop the referential integrity constraint scripts?

A. Data Administrator B. Manager, Data Administration C. Data Analyst D. Database Administrator

45. Who has the responsibility to recover the physical database in the event of a power disruption?

A. Data Administrator B. Manager, Data Administration C. Data Analyst D. Database Administrator

1.3.4 Data Warehouse Administration 46. Which responsibility is not typically a responsibility of the Data Warehouse Administrator?

A. Data Warehouse data modeling and design. B. Data Warehouse implementation and refresh. C. Data Access administration. D. Installing the Operating System on the Data Warehouse server.

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47. When hiring a Data Warehouse Administrator which skill is the least preferred?

A. Relational Database, related utilities and tools experience. B. Ability to calculate Data Warehouse return on investment, costs and benefits. C. Expert in data structure including parallel data structure. D. Logical and Physical Data Modeling.

1.3.5. Information Stewardship 48. Which role would review and approve data definitions and domain value specifications for business data?

A. Business Information Steward B. Managerial Information Steward C. Physical Data Trustee D. Information Producer

49. Who has authority to select and mandate Business Information Stewards?

A. Business Information Steward B. Managerial Information Steward C. Physical Data Trustee D. Information Producer

50. Which role is not responsible for data quality?

A. Business Information Steward or Managerial Information Steward B. Physical Data Trustee C. Information Producer D. Everyone is responsible for data quality.

51. Which one is not a responsibility of the Physical data trustee?

A. Creation of data standards. B. Enforcement of physical security. C. Performance tuning of physical databases. D. Backup and Recovery of physical databases.

52. Who should be responsible for creating the data dictionary entries?

A. Repository Administrator B. End User C. Data Modeler D. Data Librarian

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1.3.6 Configuration Management 53. A new data model is created and rolled into Production. Which process is responsible for registering the modification in the Configuration Management Database (CMDB)?

A. Change Management B. Configuration Management C. Problem Management D. Release Management

54. Which of the following is a Configuration Item (CI)?

A. Organization Structure B. Data Model C. An incident D. A process

55. Which one is not a discipline of Data Management Configuration?

A. Status Accounting B. Collection C. Approval D. Distribution

56. Which item is not a responsibility of the Configuration and Data Management team?

A. Management of all documentation and specifications. B. Configuration and data management of programs. C. Maintaining requirements of deliverables through the data change process. D. Providing storage, retrieval, distribution, and management of program data.

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Quick Answers 1. A 20. B 39. D 2. D 21. C 40. C 3. D 22. D 41. D 4. A 23. A 42. B 5. A 24. A 43. D 6. A 25. B 44. D 7. C 26. C 45. D 8. D 27. D 46. D 9. A 28. A 47. B 10. D 29. A 48. A 11. C 30. D 49. B 12. D 31. D 50. D 13. B 32. D 51. A 14. D 33. A 52. B 15. A 34. D 53. B 16. D 35. C 54. B 17. D 36. B 55. A 18. A 37. B 56. A 19. B 38. C

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Detailed Answers 1. Answer: A. To facilitate the development, management, and use of the data resources as a vital asset. The primary mission of Data Management is to facilitate the development, management, and use of the data resources as a vital asset. The services of Data Management comprise of the following: Database maintenance and enhancement for production application systems and Data analysis and modeling for projects in planning or analysis. 2. Answer: D. Provide a cost effective and robust document and content management capabilities, workflow and business process management capabilities. Objectives of Data Management are: Maintain the physical integrity and efficiency of data resources; education about the benefits of and methods for enhancing data quality; and provide the architecture and guidelines for documenting and implementing data resources. 3. Answer: D. Economies of scale in purchasing. The scope of Data Management function include: Requirements analysis and modeling; Enterprise-wide data coordination, integration, stewardship and use; and data security and quality. 4. Answer: A. Support for warehouse initiatives. Data Management services include data maintenance and enhancement for production application systems; Database design for projects in development; and Data analysis and modeling for projects in planning or analysis. 5. Answer: A. Information Technology Strategy. A Data Management Plan is usually part of the overall Information Technology Strategy. The Information Technology Strategy leads to Infrastructure Strategy, Information Technology Architecture Plan and Application Infrastructure Plan. 6. Answer: A. Information Technology Strategy. A Data Management Plan is usually part of the overall Information Technology Strategy. The Information Technology Strategy leads to Infrastructure Strategy, Information Technology Architecture Plan and Application Infrastructure Plan. 7. Answer: C. Implement facilities and tools for managing metadata resources. Data Management Plans are high level and describe the roles and resources of program staff, define future direction of data management activities in a work plan and the development of a quality management plan. 8. Answer: D. Project Change Committee. Data Management oversight committees have been called: Data Standards Approval Committee; Data Management Process Change Management Committee; and Enterprise Data Management Board of Directors. Project Change Committee refers to changes made to project scope, time, or cost. 9. Answer: A. To ensure metadata management controls have achieved intended results. The purpose of conducting a metadata management audit is to ensure metadata

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management controls have achieved intended results as systematic and proactive measures. Conducting a Metadata Management Control Review assists managers in developing and implementing appropriate, cost-effective management controls for results-oriented metadata management; assessing the adequacy of metadata management controls in programs and operations; identify needed improvements; take corresponding corrective action; and report on the status of metadata management control improvements. 10. Answer: D. Best practices. The results of benchmarking will measure: efficiency and how well resources and services (outputs) are delivered; quality of services and extent to which customers are satisfied (outcomes); and measure for evaluating outcomes or the results of program activity compared to its intended purpose and program objectives. Only one benchmark will not provide comparative information. After measuring over time, will benchmarks will provide comparative information. 11. Answer: C. Database Administrator. Typically the data management oversight committee comprises of Program Director/Manager, Users, and Data Analysts. A Database Administrator is not typically part of the data management oversight committee. 12. Answer: D. Allow planners to schedule resources more efficiently. A strong data portfolio management program 13. Answer: B. Provides a scoping tool for new initiatives. The least desirable benefit of Enterprise data / information framework is provides a scoping tool for new initiatives. New initiatives are first scoped by the business needs to gain the requirements. Enterprise data / information framework: Provides an enterprise-wide definitions of concepts and data; Reduces data redundancy by providing transparency as to the meaning of data items; and Encourages re-use and consistent data structures across the enterprise. 14. Answer: D. President. When creating a relationship management plan, the vendor, customer and employee should be considered. A relationship management plan should be approved for each project and the goal is to improve consistency in the way we approach relationships. 15. Answer: A. Procurement Strategy. A Relationship Management Plan when dealing with vendors / suppliers should be part of the Procurement Strategy. The Procurement Strategy should address when and how potential suppliers are to be engaged in the development of Relationship Management Plans. 16. Answer: D. Meta-metamodel. The Quality Management Plan addresses: quality policies and procedures; roles, responsibilities and authorities; and description of quality system. 17. Answer: D. Defines six levels of process maturity. The Capability Maturity Model defines five levels of process maturity; Model framework to assess data and process

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maturity; Model framework to determine priorities; and Model framework to institute process and data improvement. 18. Answer: A. Level 0. If the data management requirements are not being met, the organization is at CMMI maturity level 0. CMMI Levels: 0 not performed, 1 initial, 2 managed (disciplined process); 3 Defined (Standard, consistent process); 4 Quantitatively Managed (Measured Predictable Process); 5 Optimizing (Continuously Improving Process). 19. Answer: B. Level 1. If the data management requirements are being met, the organization is at CMMI maturity level 1. CMMI Levels: 0 not performed, 1 initial, 2 managed (disciplined process); 3 Defined (Standard, consistent process); 4 Quantitatively Managed (Measured Predictable Process); 5 Optimizing (Continuously Improving Process). 20. Answer: B. Level 2. If the data management requirements are being met, the organization is at CMMI maturity level 2. CMMI Levels: 0 not performed, 1 initial, 2 managed (disciplined process); 3 Defined (Standard, consistent process); 4 Quantitatively Managed (Measured Predictable Process); 5 Optimizing (Continuously Improving Process). 21. Answer: C. Level 3. If the data management requirements meet EIA standard 859 Industry Standard for Data Management, the organization is at CMMI maturity level 3. CMMI Levels: 0 not performed, 1 initial, 2 managed (disciplined process); 3 Defined (Standard, consistent process); 4 Quantitatively Managed (Measured Predictable Process); 5 Optimizing (Continuously Improving Process). EIA standard 859 includes nine high level Data Management Principles. The principles address functions of Data Management: 1. Define the organizationally relevant scope of Data Management. 2. Plan for, acquire, and provide data responsive to customer requirements. 3. Develop DM processes to fit the context and business environment in which they will be performed. 4. Identify data products and views so their requirements and attributes can be controlled. 5. Control data repositories, data products, data views, and metadata using approved change control process. 6. Establish and maintain an identification process for intellectual property, proprietary, and competition-sensitive data. 7. Retain data commensurate with value. 8. Continuously improve data management. 9. Effectively integrate data management and knowledge management. 22. Answer: D. Retain data commensurate with value. The purpose of the data management configuration management plan is to identify and describe the overall policies and methods for Configuration Management; Establish and provide the basis for

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a uniform and concise Configuration Management practice; and Manage the data for its entire lifecycle. 23. Answer: A. Data Manager. A data manager is responsible for developing and implementing Data-Management planning for projects, for ensuring that the activities are completed according to agreed standards and timelines and for coordinating ongoing data management to support the business, known as the data management standards management plan. 24. Answer: A. Policy. The sentence is a Policy statement: Data archives must include easily accessible information about the data holdings, including quality assessments, supporting ancillary information, and guidance and aids for locating and obtaining the data. A Policy is a prescribed or proscribed course of action or behavior, which is to be followed with respect to the acquisition, deployment, implementation or use of information technology resources. It is not a standard, as it does not outline a specific technical approach. It is not a procedure, as it does not offer a set of administrative instructions for implementation of a policy or standard. It is not guideline that should offer a detailed plan or explanation to guide you in setting standards or determining a course of action. 25. Answer: B. Standard. The sentence is a Standard statement: Contact Information offers data groupings that are used to describe a point of contact, address, and communication information. Standard(s) is a prescribed or proscribed specific technical approach, solution, methodology, product or protocol which must be adhered to in the design, development, implementation or upgrade of data architecture. Standards are intended to establish uniformity in data. Standards should be designated as either "preferred" or "mandatory". It is not a procedure, as it does not offer a set of administrative instructions for implementation of a policy or standard. It is not a guideline, which should offer a detailed plan or explanation to guide you in setting standards or determining a course of action. 26. Answer: C. Procedure. The sentence is a Procedure statement: To keep the hard drives from getting full, please back-up your data. Procedure is a set of administrative instructions for implementation of a policy or standard. It is not a guideline, which should offer a detailed plan or explanation to guide you in setting standards or determining a course of action. 27. Answer: D. Guideline. The sentence is a Guideline statement: Aggregation of data values is appropriate for fields with a large numbers of values, such as dates, age, and geographic areas; it is the primary method used to collapse a dataset in order to create tables with no small numbers as denominators or numerators in cells. A guideline offers a detailed plan or explanation to guide you in setting standards or determining a course of action. 28. Answer: A. Policy. The sentence is a Metadata Policy statement: Data custodians are responsible for creating and maintaining metadata for their datasets A Policy is a

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prescribed or proscribed course of action or behavior, which is to be followed with respect to the acquisition, deployment, implementation or use of information technology resources. It is not a standard, as it does not outline a specific technical approach. It is not a procedure, as it does not offer a set of administrative instructions for implementation of a policy or standard. It is not guideline that should offer a detailed plan or explanation to guide you in setting standards or determining a course of action. 29. Answer: A. Total spent for goods or services including money and time and labor. When creating metadata definitions a guideline to put in place according to ISO/IEC 11179, is to state what the concept is, not only what it is not. 30. Answer: D. WWW Design and Programming. When creating an orientation of the data environment for new employees it is appropriate to have items like: Acronym list, Customer Service Policy, Data Policy and Procedure, Data Standards, Data Guidelines, IT Strategy, and potentially even Data Models where appropriate. WWW Design and Programming would be most beneficial to Analyst and Programmers. 31. Answer: D. Booklets and information sheets. When embarking on continuing education for required skills or retraining the least desirable method of training is booklets and information sheets due to the non-interactiveness of the information. 32. Answer: D. Convening a meeting of the Organizations Management Team. When promoting data services, the goal is to publicize the efforts to the Organizations data customers. Convening a meeting of the Organization Management Team only reaches a limited audience and they may not be suitable people. Using a wide variety of marketing and communication vehicles will assist in targeting the message like: Marketing data services and benefits; Customer education / training; and Publishing newsletters and web site news. 33. Answer: A. Data Administrator. The Data Administrator identifies and analyzes information needs for the enterprise or business area, and develops and maintains data architecture plus the strategic data plan. The Data Administrator provides project support for data processing applications like data modeling and designing physical database. The Metadata Administrator is responsible for creating, administrating and enforcing of standards, guidelines and procedures for the use of metadata plus metadata query and analysis tools. The Manager, Data Administration is responsible for planning, organizing, directing and controlling data definition, data use, and ensuring data availability for the enterprise. 34. Answer: D. Provide approval authority over metadata policies and design. The Data Administrator identifies and analyzes information needs for the enterprise or business area, and develops and maintains data architecture plus the strategic data plan. The Data Administrator provides project support for data processing applications like data modeling and designing physical database. A Metadata Administrator would provide approval authority over repository policies and design. A Metadata Administrator would work with the Data Administrator. Additional responsibilities for the Data Administrator

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include developing and enforcing standards for metadata through the review of definitions. Also, assist in developing procedures and data management policies that ensure the integrity, consistency and control of the enterprise's data resource. 35. Answer: C. Project Management experience. When hiring a Data Administrator the skill that may be desirable but least preferred in the above list is Project Management experience. Typically, skills for Data Administrators are: Relational Database experience, logical and physical data modeling, strong written and oral communication skills, strong analysis skills and prior work experience. 36. Answer: B. CEO. The Data Administrator would not typically interact with the CEO in an organization. The Data Administrator would interact with Business Analysts, Repository Administrator, Management and Users/Customers of the data. 37. Answer: B. Manager, Data Administration. The Manager, Data Administration is responsible for planning, organizing, directing and controlling data definition, data use, and ensure data availability for the enterprise. The Data Administrator identifies and analyzes information needs for the enterprise or business area, and develops and maintains data architecture plus the strategic data plan. The Metadata Administrator is responsible for creating, administrating and enforcing of standards, guidelines and procedures for the use of metadata plus metadata query and analysis tools. 38. Answer: C. Metadata Administrator. The Metadata Administrator is responsible for creating, administrating and enforcing of standards, guidelines and procedures for the use of metadata plus metadata query and analysis tools. The Manager, Data Administration is responsible for planning, organizing, directing and controlling data definition, data use, and ensure data availability for the enterprise. A Database Administrator conducts data store modeling, design, implementation, and operation. 39. Answer: D. Provide final review and approval authority over data design for an application system. The Metadata Administrator role would: Establish and maintain the metadata architecture; Provide approval authority over metadata policies and design; and Maintain repository security profiles in addition to Metadata tool administration. 40. Answer: C. Metadata Analyst. In a company with a Metadata team, the Metadata Analyst would collect the requirements and design the metadata solution. The Metamodeler would convert the requirements into metamodels. The Metadata Administrator is responsible for creating, administrating and enforcing of standards, guidelines and procedures for the use of metadata plus metadata query and analysis tools. The Manager, Data Administration is responsible for planning, organizing, directing and controlling data definition, data use, and ensuring data availability for the enterprise. 41. Answer: D. Perform application tuning and performance monitoring. A Database Administrator would be responsible for: Establish and maintain sound backup and recovery policies and procedures; Implement and maintain database security (create and maintain users and roles, assign privileges); Perform database tuning and performance

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monitoring; Capacity planning; Perform general technical trouble shooting and give consultation to development teams. 42. Answer: B. CEO. The Database Administrator would not typically interact with the CEO in an organization. The Database Administrator would interact with Business Analysts, Data Administrator, Management and Users/Customers of the data. 43. Answer: D. Network security administration. When hiring a Database Administrator the skill that may be desirable but least preferred in the above list is Network security administration experience. Typically, skills for Database Administrators are: Relational Database; related utilities and tools experience, physical data modeling; ability to perform both Relational Database and Operating System performance tuning and monitoring; and prior work experience. 44. Answer: D. Database Administrator. In an organization, the Database Administrator would develop the referential integrity constraint scripts. The Data Analyst would work with the Database Administrator to link the logical to physical data model. 45. Answer: D. Database Administrator. In an organization, the Database Administrator would have the responsibility to recover the physical database in the event of a power disruption. 46. Answer: D. Installing the Operating System on the Data Warehouse server. A Data Warehouse Administrator would be responsible for: Data Warehouse data modeling and design; Data Warehouse implementation and refresh; Data Access administration; Perform application performance monitoring; Perform general technical trouble shooting and give consultation to development and metadata teams. 47. Answer: B. Ability to calculate Data Warehouse return on investment, costs and benefits. When hiring a Data Warehouse Administrator the skill that may be desirable but least preferred in the above list is the ability to calculate Data Warehouse return on investment, costs and benefits. Typically, skills for Data Warehouse Administrators are: Relational Database; related utilities and tools experience, logical and physical data modeling; Expert in data structure including parallel data structure; Extract Transform and Load tool experience; and prior work experience. 48. Answer: A. Business Information Steward. Business Information Steward would review and approve data definitions and domain value specifications for business data. Other responsibilities would include: validating business rules and keeping the domain values current across the Enterprise. Managerial Information Steward is responsible for setting information policy and creating information measures for either the organization or a specific department or business area. Physical Data Trustee is accountable for the integrity of the physical data assets. An Information Producer is accountable for the content of the information.

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49. Answer: B. Managerial Information Steward. The Managerial Information Steward has the authority to select and mandate Business Information Stewards. Physical Data Trustee is accountable for the integrity of the physical data assets. An Information Producer is accountable for the content of the information. 50. Answer: D. Everyone is responsible for data quality. Everyone in an organization is responsible for data quality. While some roles, like a CEO may not be involved in data entry or usage of transactional systems, they would offer support both financial and policy. 51. Answer: A. Creation of data standards. The Physical data trustees are responsible for enforcement of physical security, performance tuning of physical databases, and backup and recovery of physical databases. 52. Answer: B. End User. The End User would be responsible for creating the data dictionary entries. The Repository Administrator would set up the structure and implement the data dictionary. The Data Librarian would assist in cataloguing and categorizing the data. 53. Answer: B. Configuration Management. A new data model is created and rolled into Production. The process that is responsible for registering the modification in the Configuration Management Database (CMDB) is Configuration Management. Configuration and Data Management organizations are responsible for defining, controlling, integrating and implementing essential policies and procedures that provide Configuration Management (CM) and Data Management (DM) discipline on Programs and contracts. Configuration Management Database is a database, which contains all relevant details of each Configuration Item (CI) and details of the important relationships between CIs. 54. Answer: B. Data Model. An example of a Configuration Item is data model. A Configuration item is a component of an infrastructure, or an item associated with infrastructure that needs to be managed and controlled by Configuration Management. 55. Answer: A. Status Accounting. The disciplines of Data Management Configuration are: Planning, Collection, Approval, Distribution, Storage, and Retrieval of data that are implemented through standard procedures and address specific customer or contractual data management requirements. 56. Answer: A. Management of all documentation and specifications. The only documents that should be managed through Configuration Management are those that relate to: hardware, software, firmware, data model, documentation, test, test fixtures and test documentation of an automated information system, throughout the life of a system.

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2.0 Data & Metadata Infrastructures Creation / Maintenance Overview An overall planning function needs to occur to govern the creation and maintenance of data and metadata infrastructures. The scope of the data and metadata infrastructure includes the definition of all activities and processes involved in the definition, creation, formatting, storage, access and maintenance of data and metadata. Data Architecture Methods defines the process to create infrastructure like using Information Engineering. Information Engineering has many purposes, including organization planning, business re-engineering, application development, information systems planning and systems re-engineering. There are a number of data and metadata tools that perform various tasks associated with managing and deploying Data Management that provide flexibility needed to support the activities and processes defined in the infrastructure. Data Management tools include Database Management Systems (relational and object), Data modeling tools and Extract, transform, and load (ETL) tools. Metadata tools include Data dictionaries, Data directories, Data encyclopaedias, Metadata registries (e.g. ISO/IEC 11179) and Metadata repositories. The ISO/IEC 11179 Information Technology: Metadata Registries (MDR) specification developed by the ISO (International Standards Organization) and the IEC (the International Electrotechnical Commission) defines a number of fields and relationships for Metadata Registries including a detailed metamodel for defining and registering administered items, of which the primary component is a Data Element. Each data and metadata tool has a different purpose and usage. Topics Data Architecture Methods

Architectures Data Architecture Methods

Tools and Technology Types Data . Metadata & Descriptive Information . Data Issues

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Questions 2.1 Planning for Data & Metadata 2.1.1 Architectures 1. Which of the following is not a valid benefit of Enterprise Data Architecture?

A. Organizes data around the enterprise's data subjects to create a shared data resource.

B. Integrated view of enterprise data. C. Economies of scale in purchasing Case tools. D. Enables organizational change.

2. What is the best answer to why would Enterprise Data Architecture be created?

A. Enterprise Data Architecture can be created in one iteration. B. Diagram application-specific databases. C. Information is an asset of the entire organization. D. Design stability and data object abstraction and generalization.

3. Which of the following is not a reason to architect Source Data?

A. Determine sources of data needed. B. Determine the index for the data mart. C. Diagram application-specific source data for extraction. D. Determine methods for extraction and delivery.

4. Which one of the following is not a goal of Source Data Architecture?

A. Ensure that the source data is extracted only once. B. Define the scope and implementation of the data warehouse. C. Oversee the construction of the enterprise data warehouse. D. Determine the monthly flat file transmission protocol.

5. Which one of the following is targeted towards the efficient delivery of the proper information to the proper recipients?

A. Data Sourcing B. Data Distribution C. Data Integration D. Enterprise Data

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6. Which one of the following requires combining and matching information from different sources, and resolving a variety of conflicts?

A. Data Sourcing B. Data Distribution C. Data Integration D. Enterprise Data

7. What is a fundamental principle in Change Authorization of Architectures?

A. Single point of authorization. B. Single point of access. C. Private key encryption on data. D. Standard for communication.

8. Which of the following is not a feature of the client in client-server architecture?

A. Passive B. Active C. Sending requests D. Waits until reply arrives

9. Which of the following is not a feature of the server in client-server architecture?

A. Passive B. Active C. Waiting for requests D. On requests serves them and send a reply

10. What is the best name for a network called if the networks consists clients, application servers which process data for the clients, and database servers, which store data for the application servers?

A. 2-tier Architecture B. 3-tier Architecture C. n-tier Architecture D. Multi-tier Architecture

11. Which one of the following is not a source of metadata?

A. Case Tools B. Applications C. Physical Database D. Company Directory

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12. Which type of analysis is needed when beginning Metadata solution architecture?

A. Metadata record B. Metadata flows C. Metadata Categorization D. Metadata user

13. What is best definition of the Zachman Framework?

A. A 36-cell Matrix. B. A Normalized schema. C. A good analytical tool. D. Specific to methods/tools.

2.1.2. Data Architecture Methods 14. Which one is not a benefit of Enterprise Architecture Planning?

A. Consistency and compatibility of systems. B. Interoperability between systems and databases. C. Economies of scale in purchasing and developing systems. D. Greater accounting staff effectiveness.

15. Which one of the following does Enterprise Architecture Planning does not address?

A. Data management B. Application environment and development toolsets C. Maintain a secure infrastructure and IT support for networks and distributed

systems D. Middle-ware and transaction management

16. An Enterprise Architecture Plan is usually part of what overall strategy?


17. Which one of the following phases is not part of the data life cycle?

A. Create/Store B. Modify/Update C. Delete D. Shred

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18. What is the definition of data life cycle management? A. Data Life cycle management is a product. B. Data Life cycle management is an approach to managing an organization's data. C. Data Life cycle describes the CRUD matrix of data elements. D. Data Life cycle is the storage used to store active and inactive data.

19. What is defined as "An integrated and evolutionary set of tasks and techniques that enhance business communication throughout an enterprise enabling it to develop people, procedures and systems to achieve its vision".

A. Information Engineering B. Enterprise Architecture Planning C. Data Reengineering D. Prototyping

20. Which one is not a purpose of Information Engineering?

A. Organization planning. B. Business re-engineering. C. Application development. D. Data Warehousing.

21. In which situation would a data reengineering apply?

A. Developing a migration strategy from one application environment to another. B. Determining active and inactive data. C. Enhance business communication throughout the enterprise. D. Assist in developing the information management strategy.

22. What is the process of quickly putting together a working model in order to test various aspects of the design, illustrate ideas or features and gather early user feedback?

A. Information Engineering B. Enterprise Architecture Planning C. Data Reengineering D. Prototyping

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2.2. Tools and Technology Types

2.2.1. Data 23. What is the definition of a Database Management System (DBMS)?

A. Controls the organization, storage and retrieval of data in a database. B. A modeling language to define the schema. C. Inverted list management. D. Supports the database query language to interactively access data.

24. Which one is not a common DBMS model?

A. Hierarchical B. Network C. Relational D. File

25. Which one is not a function of a DBMS?

A. A modeling language to define the schema B. A database query language C. Transaction method that ensures Atomicity, Consistency, Isolation, and Durability

(ACID) D. RAID Disk arrays.

26. What is the definition of an Object Database Management System (ODBMS)?

A. Controls the organization, storage and retrieval of data in a database. B. A modeling language to define the schema C. Inverted list management D. Supports the database query language to interactively access data.

27. Which one is not a function of an ODBMS?

A. Object Definition Language (ODL) B. Object Query Language (OQL) C. C++ and Java Binding. D. Structured Query Language (SQL).

28. Which function does Extract, Transform, and Load (ETL) tool does not involve in the process in data warehousing?

A. Extracting data from data sources. B. Transforming data to fit busi

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