DP-203 InputEvents Practice Question
You are monitoring an Azure Stream Analytics job that processes streaming data from Event Hubs to Azure Synapse Analytics. Which TWO Azure Monitor metrics should you set alerts on to detect data loss or processing delays?
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
✓
InputEvents and OutputEvents metrics
The correct metrics for detecting data loss or processing delays in an Azure Stream Analytics job are InputEvents and OutputEvents (Option A). By comparing these, you can determine if every event entering the job is being output; a mismatch indicates potential data loss. Backlogged input events (Option E) directly measures the number of events waiting to be processed, and a high or growing value signals processing delays. Option B (Duration) is not a direct indicator of data loss or processing delays in Stream Analytics. Option C (Data read/written) is not a metric for Stream Analytics. Option D (Pipeline run count) is not applicable to Stream Analytics streaming jobs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
InputEvents and OutputEvents metrics
Why this is correct
InputEvents and OutputEvents (Option A) are correct. By comparing these two metrics, you can see if every event entering the Stream Analytics job is being output, indicating potential data loss if they diverge.
- ✗
Duration metric
Why it's wrong here
Duration (Option B) is a metric for job runs, not streaming throughput. It does not directly indicate data loss or processing delays.
- ✗
Data read and data written metrics
Why it's wrong here
Data read and data written metrics are not defined for Azure Stream Analytics; they apply to other services like copy activities in data integration.
- ✗
Pipeline run count metric
Why it's wrong here
Pipeline run count metric is relevant for batch pipeline services, not for Stream Analytics streaming jobs.
- ✓
Backlogged input events metric
Why this is correct
Backlogged input events (Option E) directly measures the number of events waiting to be processed; a high or growing value signals processing delays.
Visual reference
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Related to this question
Learn chapter
Introduction to Azure Data Engineering
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.
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.
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