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DP-203 Develop data processing Practice Question

You are developing a data processing solution in Azure Synapse Analytics. The solution must support both batch and streaming data ingestion into a dedicated SQL pool. You need to ensure that data from streaming sources is available for queries within 5 seconds. Which approach should you use?

⚠ Common exam trap

Watch out — candidates often assume any pipeline involving Event Hubs or Data Lake Storage can achieve sub-5-second latency, but they overlook that batch-oriented components like PolyBase, Data Factory tumbling windows, or Capture introduce inherent delays that violate the strict latency requirement.

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

Use Azure Stream Analytics with a custom SQL function that writes directly to the dedicated SQL pool

Azure Stream Analytics can output directly to Azure Synapse Analytics dedicated SQL pool using the built-in Azure Synapse Analytics output adapter, which supports high-throughput, low-latency writes. This enables streaming data to be available for queries within seconds, meeting the 5-second latency requirement without intermediate storage or batch processing steps.

Answer analysis

Option-by-option breakdown

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

  • Use Azure Stream Analytics with a custom SQL function that writes directly to the dedicated SQL pool

    Why this is correct

    Stream Analytics can achieve sub-second latency and write directly to SQL pool via a stored procedure.

  • Use Azure Databricks with Structured Streaming, write to Data Lake Storage, and then use PolyBase to load into SQL pool

    Why it's wrong here

    PolyBase loads are batch-oriented and introduce latency.

  • Use Azure Data Factory with tumbling window triggers to load data from Event Hubs every 5 seconds

    Why it's wrong here

    Data Factory is not designed for sub-minute latency.

  • Use Event Hubs Capture to write to Data Lake Storage, then use PolyBase to load into the SQL pool every 5 seconds

    Why it's wrong here

    Capture has a minimum interval of 1 minute.

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Last reviewed: Jul 4, 2026

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