In today's environment, ETL is becoming more and more necessary for many reasons, including:

ETL Testing - Quiz(MCQ)

Data warehouses are repositories where data is shared.

In ETL, data is moved from a variety of sources into a data warehouse.

In order to make critical business decisions, companies use ETL to analyze their business data.

All of the above

Correct Answer : All of the above

Explanation :

In today's environment, ETL is becoming more and more necessary for many reasons, including :

* In order to make critical business decisions, companies use ETL to analyze their business data.

* Data warehouses are repositories where data is shared.

* In ETL, data is moved from a variety of sources into a data warehouse.

Recently Updated in ETL Testing Questions

The following operations are performed during database testing :

Testing the database verifies if the column has any missing data.

During database testing, data values in columns are verified to ensure they are valid.

Tests are conducted on databases to determine whether primary or foreign keys are maintained.

All of the above

Correct Answer : All of the above

Explanation :

The following operations are performed during database testing:

* Testing the database verifies if the column has any missing data.

* During database testing, data values in columns are verified to ensure they are valid.

* Tests are conducted on databases to determine whether primary or foreign keys are maintained.

A ____ compares the data between a source system and a target system without transforming the data in either system.

Value Compromise

Value Comparison

Value Contraction

Value Compression

Correct Answer : Value Comparison

Explanation : A value comparison compares the data between a source system and a target system without transforming the data in either system.

In database testing, the focus is on ensuring that data is ________.

Valid

Correct

Accurate

All of the above

Correct Answer : All of the above

Explanation : In database testing, the focus is on ensuring that data is accurate, correct, and valid.

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