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Data Concepts and EnvironmentsmediumMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

To consolidate data from multiple operational databases into a central repository for reporting, a company decides to transform data before loading it into the target system. Which data integration approach is being used?

⚠ Common exam trap

Test-takers frequently confuse ETL with ELT, assuming that any transformation before loading is ELT, but the key distinction is that ELT loads raw data first and transforms it later inside the target system, whereas ETL transforms data before it reaches the target.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

ETL (Extract, Transform, Load)

The scenario describes transforming data before loading it into the target system, which is the defining characteristic of ETL (Extract, Transform, Load). In ETL, data is extracted from source systems, transformed in a staging area (e.g., cleaning, aggregating, joining), and then loaded into the central repository. This approach is commonly used when the target system (e.g., a data warehouse) requires pre-processed, high-quality data for reporting.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ETL (Extract, Transform, Load)

    Why this is correct

    ETL transforms data during the integration process before loading into the target.

  • Data virtualization

    Why it's wrong here

    Data virtualisation creates a logical abstraction layer that queries source systems in real time without physically moving or persisting data, so it cannot perform the transformation step described in the stem, where data is altered before loading into a central repository. This option tempts because it is commonly used for federated reporting across disparate databases, but the scenario explicitly requires a transformation phase that only an ETL (Extract, Transform, Load) approach can execute.

  • Change data capture

    Why it's wrong here

    Change data capture identifies changes but does not define the transformation timing.

  • ELT (Extract, Load, Transform)

    Why it's wrong here

    In ELT, data is loaded first and transformed later in the target system.

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