DP-203 Develop data processing Practice Question
Your team is building a real-time dashboard in Power BI that displays sales data from Azure Stream Analytics. The data must be updated every 5 seconds with low latency. Which output type should you configure in Stream Analytics to achieve this?
⚠ Common exam trap
Test-takers frequently confuse Azure Event Hubs as a direct output for Power BI, overlooking that Event Hubs is an intermediary and not a visualization endpoint, while Power BI's native Stream Analytics output is the only option that directly feeds the real-time dashboard with low latency.
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
✓
Power BI
Power BI is the correct output type because Azure Stream Analytics has a native Power BI output connector that supports real-time streaming datasets, enabling sub-second latency for dashboards. This connector pushes data directly to Power BI's streaming API, which refreshes visuals automatically every 5 seconds as required.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Power BI
Why this is correct
Direct streaming to Power BI for low latency.
- ✗
Azure Blob Storage
Why it's wrong here
Not suitable for real-time dashboards.
- ✗
Azure SQL Database
Why it's wrong here
Adds latency due to database write.
- ✗
Azure Event Hubs
Why it's wrong here
Would require additional downstream processing.
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