DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your team is running a critical Azure Stream Analytics job that writes results to Azure SQL Database. Recently, the job has been failing with high latency and occasional data loss. You need to monitor the job's performance and set up alerts for when the watermark delay exceeds a threshold. What 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 Monitor metrics for the Stream Analytics job.
Azure Monitor provides built-in metrics for Azure Stream Analytics jobs, including the watermark delay metric, which can be used to set up alerts. Option A is incorrect because Application Insights SDK integration is not supported for Stream Analytics jobs; monitoring is done via Azure Monitor metrics. Option B is incorrect because while Log Analytics can store diagnostics logs, it does not directly expose the watermark delay metric for alerting. Option D is incorrect because Azure Data Explorer is a data exploration service, not a monitoring tool for Stream Analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Application Insights SDK integration in the job.
Why it's wrong here
Stream Analytics does not support Application Insights SDK.
- ✗
Azure Log Analytics workspace connected to the job diagnostics logs.
Why it's wrong here
While Azure Log Analytics is excellent for ingesting and querying diagnostic logs for detailed operational troubleshooting and correlating events, it does not directly provide "watermark delay" as a native metric for threshold-based alerting. Watermark delay is a specific metric of Azure Stream Analytics, which is best monitored and alerted upon using Azure Monitor Metrics. Log Analytics would be the correct choice for analysing specific error messages, custom application logs, or complex event patterns within the logs themselves, enabling deep post-mortem analysis.
- ✓
Azure Monitor metrics for the Stream Analytics job.
Why this is correct
Azure Monitor provides built-in metrics like watermark delay and can trigger alerts.
- ✗
Azure Data Explorer for querying job performance data.
Why it's wrong here
Not a monitoring tool for Stream Analytics.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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