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DP-203 Develop data processing Practice Question

Which THREE components are required to implement a change data capture (CDC) solution in Azure Data Factory for incremental loading from Azure SQL Database to Azure Synapse Analytics?

⚠ Common exam trap

It's easy for candidates to assume CDC requires a Mapping Data Flow or Azure Functions for transformation or processing, when in fact the core pattern uses only Lookup and Copy activities with change tracking metadata.

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

A Lookup activity to retrieve the last processed watermark.

A Lookup activity is required to retrieve the last processed watermark (e.g., a timestamp or LSN) from a control table or source query. This watermark defines the incremental boundary for CDC, ensuring only new or changed rows are loaded in each pipeline run. Without it, the pipeline would have no way to track progress and would either reload all data or miss changes.

Answer analysis

Option-by-option breakdown

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

  • A Mapping Data Flow to transform the data before load.

    Why it's wrong here

    Optional, not required.

  • A Lookup activity to retrieve the last processed watermark.

    Why this is correct

    Needed to get the last high-water mark.

  • Azure Functions to process change data.

    Why it's wrong here

    Not required; ADF can handle.

  • A Copy activity to transfer changed data to Synapse.

    Why this is correct

    Copies the delta data.

  • Change Data Capture (CDC) enabled on the source Azure SQL Database tables.

    Why this is correct

    Required to track changes.

Visual reference

Client Server SYN (seq=100) SYN-ACK (seq=200, ack=101) ACK (ack=201) Connection established — data transfer begins

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