DataStage Interview Questions

Here in this blog, I’m going to share some of the important DataStage interview questions and answers.

  1. Define DataStage?

Answer: A DataStage is an ETL tool utilized to design, build, and perform various treatments to pack multiple desks in a data storehouse or even data marts.

  1. What are the characteristics of DataStage?

Answer: The Characteristics of DataStage are as follows:

  • It can be set up on neighborhood servers and cloud-based on the requirement and criteria.
  • It is straightforward to utilize and can quickly boost the velocity and adaptability of data integration properly.
  • It assists big data and can access big data in many methods, such as JDBC integrator, JSON support, and distributed report units.
  1. Determine how a source file is populated?

Answer: A source record can be populated in numerous ways, for example, by making a SQL inquiry in Oracle or by utilizing a line generator to remove the device and so forth

  1. How is merging done in DataStage?

Answer: In DataStage, combining is performed when two or even more tables are expected to become integrated based upon their primary key pillar.

  1. Differentiate DataStage 7.5 and 7.0?

Answer: In DataStage 7.5, plenty of new stages are incorporated for additional toughness and smooth show, including Command Stage, Procedure Stage, Generate Report, and so on.

  1. What is the Difference between DataStage and Informatica?

Answer: In DataStage, there is a principle of parallelism, partition for nodule setup. At the same time, there is no idea of partition and similarity in Informatica for node setup. Informatica is a lot more extendable than DataStage, and DataStage is extra easy to use as matched up to Informatica.

  1. Differentiate between Data file and descriptor file?

Answer: As the title suggests, data documents include the data, as well as the descriptor data, consisting of the description/information concerning the data in the data reports.

  1. State repository tables in DataStage?

Answer: In DataStage, the Repository is yet another title for a data storage facility. It could be centralized along with distributed.

  1. Explain usage analysis in DataStage?

Answer: In DataStage, usage analysis is done within a couple of clicks. Introduce DataStage Manager & right-click on the task. Pick usage analysis, and also that’s it.

  1. Does DataStage support slowly changing dimensions?

Answer: version 8.5 + supports this feature

  1. Explain project in DataStage?

Answer: Whenever our experts initiate the DataStage customer, our company is inquired to hook up to a DataStage venture. A DataStage experience includes DataStage projects, integrated components, & DataStage designer or user-defined components.

  1. Differentiate between DataStage and DataStage TX?

Answer: DataStage is an ETL tool, and also DataStage TX is an EAI resource.

  1. How many types of views are there in a DataStage Director?

Answer: There are 3 types of DataStage Director

  • Log view
  • Job view
  • Status view
  1. How are rejected rows managed in DataStage?

Answer: In DataStage, rejected rows can be managed through restraints in the transformer. It places the rejected rows in the transformer assets, or we can produce a brief storage space for refused rows with help from left control.

  1. How to clean the DataStage Repository?

Answer: Our experts can clean up the DataStage storehouse by utilizing the Clear Up Resources capability in the DataStage manager.

  1. What is the architecture of DataStage?


  • Client components
  • Servers
  • Stages
  • Table definitions
  • Containers
  • Projects
  • Jobs
  1. How to convert a server job to a parallel career in DataStage?

Answer: A web server task can be similar to a Link collector and an IPC debt collector.

  1. What are the types of parallel processing in DataStage?

Answer: There are two types of parallel processing

  • Data partitioning
  • Data pipelining
  1. What is Data partitioning?

Answer: Data segmenting is a kind of identical technique for data handling. It includes breaking the records into dividing for processing, and it enhances the productivity of processing in a straight model.

  1. What is Data pipelining?

Answer: Data Pipelining is a sort of parallel technique for data processing. Our company removes Data coming from the source and afterward makes them go through a pattern of processing functions to get the necessary result.

  1. What is a collection library in DataStage?

Answer: The compilation public libraries are the set of operators and are used to accumulate the partitioned Data

  1. How can we run a job using the command line in DataStage?

Answer:  dsjob -run -jobstatus <projectname><jobname>

  1. What is a flow designer in IBM DataStage?

Answer: Circulation designer is actually the individual online interface of DataStage and also is made use of to develop, revise, load, and also operate the projects in DataStage.

  1. What is infosphere in DataStage?

Answer: The infosphere info web server is qualified to deal with the high volume needs of the business and supplies high-quality and a lot faster results. It gives the firms a singular platform for dealing with the Data where they may recognize, well-maintained, improve, and supply enormous amounts of info.

  1. What are the different tiers of the infosphere server?

Answer: There are four different tiers of infosphere server

  • Client tier
  • Services tier
  • Engine tier
  • Metadata repository tier



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