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DP-203 Develop data processing Practice Question

You are designing a real-time analytics solution for IoT devices that emit telemetry data every second. The data must be aggregated every minute and stored in Azure SQL Database for historical analysis. You need to minimize latency and operational overhead. Which approach should you recommend?

⚠ Common exam trap

The trap here is that candidates often over-engineer the solution by choosing Databricks (Option A) for its flexibility, overlooking that Stream Analytics is purpose-built for low-latency, windowed aggregations with minimal operational overhead, while Databricks adds unnecessary complexity for simple time-based aggregations.

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 tumbling window of 1 minute and output to Azure SQL Database

Azure Stream Analytics natively supports real-time stream processing with tumbling windows, allowing you to aggregate IoT telemetry data every minute and output directly to Azure SQL Database with minimal latency. This approach avoids the overhead of managing clusters (Databricks) or orchestrating batch loads (Data Factory), directly meeting the requirement for low latency and operational simplicity.

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 Databricks with Structured Streaming to aggregate and write to SQL Database

    Why it's wrong here

    Higher overhead and cost.

  • Use Event Hubs Capture to store raw data in blob storage, then use Azure Data Factory to load into SQL Database hourly

    Why it's wrong here

    Adds latency; not real-time.

  • Use Azure Stream Analytics with a tumbling window of 1 minute and output to Azure SQL Database

    Why this is correct

    Minimal latency and operational overhead.

  • Use Azure Functions to process events and write to SQL Database

    Why it's wrong here

    Azure Functions are not optimized for streaming aggregations.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.