DP-203 Develop data processing Practice Question
You are developing a streaming solution with Azure Stream Analytics that outputs results to Azure Synapse Analytics. The output requires exactly-once semantics to avoid duplicates. Which configuration should you use?
⚠ Common exam trap
Watch out — candidates often confuse 'exactly-once' with 'at-least-once' and assume that idempotent writes via Azure Functions or staging in Blob Storage can achieve the same guarantee, but Stream Analytics' built-in output mode is the only supported way to guarantee exactly-once delivery to Synapse without custom complexity.
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
✓
Configure the output to Azure Synapse Analytics with 'Exactly once' output mode.
Azure Stream Analytics supports an 'Exactly once' output mode for Azure Synapse Analytics, which ensures that each event is written exactly once to the destination, preventing duplicates. This mode uses a combination of checkpointing and transactional writes to guarantee idempotent delivery without requiring custom logic.
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 an Azure Function output to write data idempotently to Synapse.
Why it's wrong here
Azure Functions can be idempotent but Synapse does not support idempotent writes directly.
- ✓
Configure the output to Azure Synapse Analytics with 'Exactly once' output mode.
Why this is correct
Stream Analytics supports exactly-once output to Synapse dedicated SQL pool.
- ✗
Set the event serialization format to Avro and enable 'Exactly once' event delivery.
Why it's wrong here
Event delivery is for input, not output.
- ✗
Output to Azure Blob Storage and then use a COPY statement in Synapse.
Why it's wrong here
This approach does not guarantee exactly-once semantics end-to-end.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
Key term
Azure Stream Analytics
Azure Stream Analytics is a fully managed, real-time data processing service that analyzes and transforms high volumes of streaming data from various sources to deliver low-latency insights and trigger actions.
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