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Page 1: Top datastage interview questions and answers job interview tips

Top 10 datastage interview questions and answers

If you need top 7 free ebooks below for your job interview, please visit: 4career.net

• Free ebook: 75 interview questions and answers• Top 12 secrets to win every job interviews• 13 types of interview quesitons and how to face them• Top 8 interview thank you letter samples• Top 7 cover letter samples• Top 8 resume samples• Top 15 ways to search new jobs

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Page 2: Top datastage interview questions and answers job interview tips

Tell me about yourself?

This is probably the most asked question in datastage interview. It breaks the ice and gets you to talk about something you should be fairly comfortable with. Have something prepared that doesn't sound rehearsed. It's not about you telling your life story and quite frankly, the interviewer just isn't interested. Unless asked to do so, stick to your education, career and current situation. Work through it chronologically from the furthest back to the present.

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Define Data Stage?

A data stage is basically a tool that is used to design, develop and execute various applications to fill multiple tables in data warehouse or data marts. It is a program for Windows servers that extracts data from databases and change them into data warehouses. It has become an essential part of IBM WebSphere Data Integration suite.

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What Can You Do for Us That Other Candidates Can't?

What makes you unique? This will take an assessment of your experiences, skills and traits. Summarize concisely: "I have a unique combination of strong technical skills, and the ability to build strong customer relationships. This allows me to use my knowledge and break down information to be more user-friendly."

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Differentiate between datastage and informatica?

DatastageIn datastage, there is a concept of partition, parallelism for node configuration. While, there is no concept of partition and parallelism in informatica for node configuration. Also, Informatica is more scalable than Datastage. Datastage is more user-friendly as compared to Informatica.

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What steps should be taken to improve Datastage jobs?

In order to improve performance of Datastage jobs, we have to first establish the baselines. Secondly, we should not use only one flow for performance testing. Thirdly, we should work in increment. Then, we should evaluate data skews. Then we should isolate and solve the problems, one by one. After that, we should distribute the file systems to remove bottlenecks, if any. Also, we should not include RDBMS in start of testing phase. Last but not the least, we should understand and assess the available tuning knobs.

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What is a merge?Differentiate between Join, Merge and Lookup stage?

Merge is a stage that is available in both parallel and server jobs.The merge stage is used to join two tables(server/parallel) or two tables/datasets(parallel).Merge requires that the master table/dataset and the update table/dataset to be sorted.Merge is performed on a key field, and the key field is mandatory in the master and update dataset/table.

All the three concepts are different from each other in the way they use the memory storage, compare input requirements and how they treat various records. Join and Merge needs less memory as compared to the Lookup stage.

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Differentiate between Symmetric Multiprocessing and Massive Parallel Processing?

In Symmetric Multiprocessing, the hardware resources are shared by processor. The processor has one operating system and it communicates through shared memory. While in Massive Parallel processing, the processor access the hardware resources exclusively. This type of processing is also known as Shared Nothing, since nothing is shared in this. It is faster than the Symmetric Multiprocessing.

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Whats difference betweeen operational data stage (ODS) and data warehouse?

A dataware house is a decision support database for organisational needs.It is subject oriented,non volatile,integrated ,time varient collect of data.ODS(Operational Data Source) is a integrated collection of related information . it contains maximum 90 days information.ODS is nothing but operational data store is the part of transactional database. this db keeps integrated data from different tdb and allow common operations across organisation. eg: banking transaction.In simple terms ODS is dynamic data.

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How the IPC Stage work?If we used the IPC Stage between source and target .One process will handling the communication from sequential file stage to IPC stage, and other will handling communication from IPC stage to ODBC stage. As soon as the Sequential File stage has opened its output link, the IPC stage can start passing data to the ODBC stage.

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What is DataStage?Design jobs for Extraction, Transformation and Loading(ETL).Ideal tool data integration projects such as data warehouses, data marts and system migrations.Import,export,create and managed metadata for use within jobs.Schedule, run and monitor jobs all within DataStageAdminsters your Datastage development and execution environments.

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How many types of hash files are there?There are two types of hash files in DataStage i.e. Static Hash File and Dynamic Hash File. The static hash file is used when limited amount of data is to be loaded in the target database. The dynamic hash file is used when we don’t know the amount of data from the source file.

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Differentiate between Hash file and Sequential file?

The only difference between the Hash file and Sequential file is that the Hash file saves data on hash algorithm and on a hash key value, while sequential file doesn’t have any key value to save the data. Basis on this hash key feature, searching in Hash file is faster than in sequential file.

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Define OConv () and IConv () functions in Datastage?

In Datastage, OConv () and IConv() functions are used to convert formats from one format to another i.e. conversions of roman numbers, time, date, radix, numeral ASCII etc. IConv () is basically used to convert formats for system to understand. While, OConv () is used to convert formats for users to understand.

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Name the different types of Lookups in Datastage?There are two types of Lookups in Datastage i.e. Normal lkp and Sparse lkp. In Normal lkp, the data is saved in the memory first and then the lookup is performed. In Sparse lkp, the data is directly saved in the database. Therefore, the Sparse lkp is faster than the Normal lkp.

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Define Routines and their types?Routines are basically collection of functions that is defined by DS manager. It can be called via transformer stage. There are three types of routines such as, parallel routines, main frame routines and server routines.

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What is the difference between Server Job and Parallel Jobs?

Server Jobs works in sequential way while parallel jobs work in parallel fashion (Parallel Extender work on the principal of pipeline and partition) for Inpur/Output processing

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Why do we use Link Partitioner and Link Collector in Datastage?

In Datastage, Link Partitioner is used to divide data into different parts through certain partitioning methods. Link Collector is used to gather data from various partitions/segments to a single data and save it in the target table.

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How rejected rows are managed in Datastage?In the Datastage, the rejected rows are managed through constraints in transformer. We can either place the rejected rows in the properties of a transformer or we can create a temporary storage for rejected rows with the help of REJECTED command

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Differentiate between validated and Compiled in the Datastage?

In Datastage, validating a job means, executing a job. While validating, the Datastage engine verifies whether all the required properties are provided or not. In other case, while compiling a job, the Datastage engine verifies that whether all the given properties are valid or not.

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What are Sequencers?A sequencer allows you to synchronize the control flow of multiple activities in a job sequence. It can have multiple input triggers as well as multiple output triggers.

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Useful job interview materials:

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Top 6 tips for job interview

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Tip 1: Do your homeworkYou'll likely be asked difficult questions during the interview. Preparing the list of likely questions in advance will help you easily transition from question to question.

Spend time researching the company. Look at its site to understand its mission statement, product offerings, and management team. A few hours spent researching before your interview can impress the hiring manager greatly. Read the company's annual report (often posted on the site), review the employee's LinkedIn profiles, and search the company on Google News, to see if they've been mentioned in the media lately. The more you know about a company, the more you'll know how you'll fit in to it.

Ref material: 4career.net/job-interview-checklist-40-points

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Tip 2: First impressionsWhen meeting someone for the first time, we instantaneously make our minds about various aspects of their personality.Prepare and plan that first impression long before you walk in the door. Continue that excellent impression in the days following, and that job could be yours.Therefore:

Never arrive late. Use positive body language and turn on your

charm right from the start. Switch off your mobile before you step into the

room. Look fabulous; dress sharp and make sure you look

your best. Start the interview with a handshake; give a nice

firm press and then some up and down movement. Determine to establish a rapport with the

interviewer right from the start. Always let the interviewer finish speaking before

giving your response. Express yourself fluently with clarity and

precision.

Useful material: 4career.net/top-10-elements-to-make-a-good-first-impression-at-a-job-interview

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Tip 3: The “Hidden” Job MarketMany of us don’t recognize that hidden job market is a huge one and accounts for 2/3 of total job demand from enterprises. This means that if you know how to exploit a hidden job market, you can increase your chance of getting the job up to 300%.

In this section, the author shares his experience and useful tips to exploit hidden job market.

Here are some sources to get penetrating into a hidden job market: Friends; Family; Ex-coworkers; Referral; HR communities; Field communities; Social networks such as Facebook, Twitter…; Last recruitment ads from recruiters; HR emails of potential recruiters…

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Tip 4: Do-It-Yourself Interviewing PracticeThere are a number of ways to prepare for an interview at home without the help of a professional career counselor or coach or a fee-based service.

You can practice interviews all by yourself or recruit friends and family to assist you.

Useful material: 4career.net/free-ebook-75-interview-questions-and-answers

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Tip 5: Ask questionsDo not leave the interview without ensuring that you know all that you want to know about the position. Once the interview is over, your chance to have important questions answered has ended. Asking questions also can show that you are interested in the job. Be specific with your questions. Ask about the company and the industry. Avoid asking personal questions of the interviewer and avoid asking questions pertaining to politics, religion and the like.

Ref material: 4career.net/25-questions-to-ask-employers-during-your-job-interview

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Tip 6: Follow up and send a thank-you noteFollowing up after an interview can help you make a lasting impression and set you apart from the crowd.Philip Farina, CPP, a security career expert at Manta Security Management Recruiters, says: "Send both an email as well as a hard-copy thank-you note, expressing excitement, qualifications and further interest in the position. Invite the hiring manager to contact you for additional information. This is also an excellent time to send a strategic follow-up letter of interest."

Ref material: 4career.net/top-8-interview-thank-you-letter-samples

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