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DP-203 Develop data processing Practice Question

You are building a data processing solution that requires exactly-once semantics when writing to Azure Event Hubs from Azure Stream Analytics. Which output format should you configure?

⚠ Common exam trap

A common mix-up: candidates assume JSON is the default or most compatible format for streaming outputs, but they overlook that exactly-once semantics require a binary format with embedded schema support, which only Avro provides in this specific Azure Stream Analytics to Event Hubs integration.

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

Avro

Azure Stream Analytics supports exactly-once semantics when writing to Event Hubs only when using Avro serialization. This is because Avro provides a compact binary format with embedded schema, enabling Stream Analytics to track and deduplicate events precisely during output, which is required for exactly-once delivery. JSON, CSV, and Parquet do not support the necessary metadata and checkpointing mechanisms for exactly-once guarantees in this specific integration.

Answer analysis

Option-by-option breakdown

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

  • JSON

    Why it's wrong here

    JSON output does not guarantee exactly-once delivery to Event Hubs.

  • CSV

    Why it's wrong here

    CSV is not supported for Event Hubs output in Stream Analytics.

  • Parquet

    Why it's wrong here

    Parquet is not a supported output format for Event Hubs in Stream Analytics.

  • Avro

    Why this is correct

    Avro format in Stream Analytics provides exactly-once semantics when writing to Event Hubs.

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Last reviewed: Jun 24, 2026

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