Question 577 of 760
DP-203 Develop data processing Practice Question
You are designing a data processing solution for an e-commerce company. The company receives millions of clickstream events per hour from their website and needs to aggregate the data by product category and windowed time intervals for real-time dashboards. You need to minimize latency and cost. Which service should you use?
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
✓
Azure Stream Analytics
(Azure Stream Analytics) is the best choice because it is purpose-built for real-time stream processing, supports windowed aggregations, and integrates with Power BI for dashboards. Option A (Azure Databricks Structured Streaming) can handle streaming but is more complex and typically more expensive for simple aggregations. Option B (Azure Data Factory) is for batch data movement, not real-time. Option D (Azure Synapse Pipelines) is for orchestrating data movement, not real-time processing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Databricks Structured Streaming
Why it's wrong here
Azure Databricks Structured Streaming introduces per-micro-batch overhead and requires a running cluster with compute costs even during idle periods, which conflicts with the need to minimise latency and cost for high-volume clickstream aggregation. It is tempting because it excels at complex transformations and stateful aggregations across multiple data sources, making it ideal for scenarios requiring advanced analytics or machine learning on streaming data.
- ✗
Azure Data Factory
Why it's wrong here
Primarily for batch data movement.
- ✓
Azure Stream Analytics
Why this is correct
Provides real-time stream processing with windowed aggregations.
- ✗
Azure Synapse Pipelines
Why it's wrong here
Used for orchestration, not real-time stream processing.
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Last reviewed: Jun 21, 2026
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