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CISA · Question #59

Which of the following environments is BEST used for copying data and transformation into a compatible data warehouse format?

The correct answer is D. Staging. A staging environment is best suited for copying and transforming data into a data warehouse format, acting as an intermediate area before loading into the production warehouse.

Submitted by the_admin· Apr 18, 2026Information Systems Acquisition, Development, and Implementation

Question

Which of the following environments is BEST used for copying data and transformation into a compatible data warehouse format?

Options

  • ADevelopment
  • BTesting
  • CReplication
  • DStaging

How the community answered

(30 responses)
  • A
    3% (1)
  • B
    7% (2)
  • C
    3% (1)
  • D
    87% (26)

Why each option

A staging environment is best suited for copying and transforming data into a data warehouse format, acting as an intermediate area before loading into the production warehouse.

ADevelopment

A development environment is for writing and testing code, not typically for the large-scale extraction, transformation, and loading of production data.

BTesting

A testing environment is used to validate system functionality and data integrity, usually with prepared test data, not for the ongoing process of transforming and loading production-like data for a data warehouse.

CReplication

Replication involves duplicating data from one system to another, often for backup or disaster recovery, but it doesn't inherently include the complex transformation processes required for a data warehouse.

DStagingCorrect

A staging environment is specifically designed as an intermediate area where data is extracted, transformed, and loaded (ETL) before being moved into the final data warehouse. This environment allows for data cleaning, validation, and format conversion without impacting source systems or the production data warehouse.

Concept tested: Data warehousing staging environment

Source: https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/data/data-warehouse-etl-staging#staging-area

Topics

#Staging environment#Data warehousing#ETL process#Data transformation

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