DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You need to monitor the performance of Azure Stream Analytics jobs. Which Azure Monitor metric can be used to detect if the job is falling behind in processing input data?
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
✓
InputEventsBacklog
InputEventsBacklog tracks the number of input events that remain unprocessed, directly indicating whether the job is falling behind. WatermarkDelay (option A) measures the time difference between event occurrence and processing, which can indicate latency but not the backlog count. OutputEvents (option C) counts events sent to output, unrelated to backlog. RuntimeErrors (option D) counts errors, not backlog.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
WatermarkDelay
Why it's wrong here
WatermarkDelay measures latency, not backlog count.
- ✓
InputEventsBacklog
Why this is correct
This metric shows the backlog of unprocessed input events.
- ✗
OutputEvents
Why it's wrong here
OutputEvents counts output events, not backlog.
- ✗
RuntimeErrors
Why it's wrong here
RuntimeErrors count errors, not backlog.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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