AI-102 Plan and manage an Azure AI solution Practice Question
Which TWO monitoring metrics should you track to ensure the health and performance of an Azure AI Search service used for a customer-facing product catalog?
⚠ Common exam trap
A common mix-up: candidates confuse operational metrics (like indexer duration or storage usage) with customer-facing performance metrics, leading them to select indexer execution history instead of search 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
✓
Throttled search queries count.
Throttled search queries count (Option A) is a critical health metric because it directly indicates when the search service is under excessive load, causing requests to be rate-limited. For a customer-facing product catalog, throttling degrades user experience and can lead to failed searches. Tracking this metric helps you decide when to scale up replicas or partitions to maintain service level agreements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Throttled search queries count.
Why this is correct
Throttling indicates capacity bottlenecks.
- ✗
Indexer execution history and duration.
Why it's wrong here
Important for indexing health but not primary for service health.
- ✗
Storage used in GB.
Why it's wrong here
Capacity metric, not real-time health.
- ✓
Search latency (average and P99).
Why this is correct
Latency directly affects user experience.
- ✗
Number of successful search requests.
Why it's wrong here
Volume metric, not indicative of problems.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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