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Home / Interview Subjects / Informatica
WithoutBook LIVE Mock Interviews Informatica Related interview subjects: 13

Interview Questions and Answers

Know the top Informatica interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Total 48 questions Interview Questions and Answers

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Know the top Informatica interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Interview Questions and Answers

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Intermediate / 1 to 5 years experienced level questions & answers

Ques 1

Explain the difference between ETL and ELT.

ETL (Extract, Transform, Load) is a process where data is extracted from source systems, transformed, and then loaded into a data warehouse. ELT (Extract, Load, Transform) is a process where data is first extracted and loaded into the target system, and then transformations are applied.
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Ques 2

Explain the difference between a Mapping and a Mapplet.

A mapping is a set of source and target definitions linked by transformations, while a mapplet is a reusable object that contains a set of transformations.
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Ques 4

What is a Repository Service in Informatica?

The Repository Service in Informatica is responsible for managing connections to the repository and providing access to the metadata stored in the repository.
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Ques 7

What is the difference between a connected and an unconnected Lookup transformation?

A connected Lookup transformation is connected to the pipeline, while an unconnected Lookup is not connected to the pipeline and must be called by another transformation.
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Ques 8

How is parameterization achieved in Informatica?

Parameterization in Informatica is achieved through the use of parameter files, which contain values that can be substituted into session and workflow properties at runtime.
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Ques 10

How can you handle errors in Informatica?

Errors in Informatica can be handled using error handling strategies such as redirecting rows, terminating the session, or sending errors to a separate target.
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Ques 11

Explain the concept of a Normalizer transformation.

A Normalizer transformation in Informatica is used to convert columns with repeating groups into multiple rows, making data more readable and usable.
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Ques 12

Explain the concept of Data Transformation Manager (DTM) in Informatica.

The Data Transformation Manager (DTM) in Informatica is responsible for the execution of tasks within a session, such as reading, transforming, and loading data.
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Ques 13

How can you improve session performance in Informatica?

Session performance in Informatica can be improved by optimizing transformations, using partitioning, increasing cache size, and tuning session properties.
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Ques 14

How does Informatica handle incremental data loading?

Informatica handles incremental data loading by comparing source and target data based on a specified key and loading only the changed or new records.
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Ques 17

How can you handle slowly changing dimensions in Informatica?

Slowly Changing Dimensions (SCD) in Informatica can be handled using techniques such as Type 1 (overwrite), Type 2 (historical), and Type 3 (add new column).
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Ques 18

What is the purpose of a Target Load Plan in Informatica?

A Target Load Plan in Informatica specifies the order in which target tables are loaded, providing control over the loading sequence in a session.
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Ques 20

Explain the concept of a Surrogate Key in Informatica.

A Surrogate Key in Informatica is a system-generated key used to uniquely identify rows in a dimension table, often replacing natural keys for efficiency.
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Ques 21

What is the purpose of a Pre-Session Command in Informatica?

A Pre-Session Command in Informatica is used to execute commands or scripts before the session starts, allowing for custom initialization tasks.
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Ques 22

What is the purpose of a Data Masking transformation?

The Data Masking transformation in Informatica is used to mask sensitive data in a mapping, ensuring that confidential information is not exposed.
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Ques 24

What is the purpose of a Normalizer transformation in Informatica?

A Normalizer transformation in Informatica is used to transform data by converting columns with repeating groups into multiple rows, simplifying data processing.
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