DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your team has deployed an Azure Stream Analytics job that writes output to Azure Cosmos DB. You need to monitor the job for data latency and ensure it meets a service-level agreement (SLA) of under 10 seconds from input to output. Which metric should you track in Azure Monitor?
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
✓
Watermark delay.
Watermark delay is the correct metric to monitor for data latency because it measures the maximum time between an input event being received and the corresponding output being produced. A watermark delay consistently under 10 seconds ensures the SLA is met. Output events (A) track the number of output events, not latency. Runtime errors (B) indicate failures, not latency. Input events (D) track the number of input events, not latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Output events.
Why it's wrong here
Output events count the number of events sent to the sink, not latency.
- ✗
Runtime errors.
Why it's wrong here
Runtime errors indicate failures, not latency.
- ✓
Watermark delay.
Why this is correct
Watermark delay measures the maximum time difference between the input and output, indicating end-to-end latency.
- ✗
Input events.
Why it's wrong here
Input events count the number of events received, not latency.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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