The answer is to review the search service metrics for high query latency and CPU usage. This is the correct first step because Azure Cognitive Search performance degradation is almost always tied to resource saturation; when the service is handling too many queries per second or complex queries, CPU utilization spikes, directly causing high query latency and slow response times for end users. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your ability to diagnose performance issues by distinguishing between infrastructure metrics and configuration details—a common trap is to blame index schema size or storage, but those are secondary factors unless the service is throttled. A key memory tip is to think of the “three C’s” of search performance diagnosis: CPU, Concurrency, and Complexity. Always check the service’s CPU and latency metrics first in the Azure portal before diving into index design or skillset logic, as these metrics reveal whether the service is simply overburdened.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Your company uses Azure AI Search to power a customer support portal. The search index includes product documentation and known issues. Recently, the portal's search performance has degraded, and users report slow response times. You need to identify the cause of the performance issue. What should you check first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Review the search service metrics for high query latency and CPU usage.
High query latency in Azure AI Search is often caused by high CPU utilization in the search service. Checking metrics in the Azure portal can reveal if the service is overburdened. Option A is wrong because storage size does not directly cause slow queries. Option C is wrong because the skillset is not involved unless enrichment is ongoing. Option D is wrong because the index schema size is not a primary performance factor.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Review the search service metrics for high query latency and CPU usage.
Why this is correct
Metrics help identify performance bottlenecks.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Check the size of the index storage in the Azure portal.
Why it's wrong here
Storage size alone does not cause slow queries.
✗
Ensure the index schema does not have too many fields.
Why it's wrong here
Number of fields is not a typical cause of slow queries.
✗
Verify that the skillset is not running during peak hours.
Why it's wrong here
Skillsets run during indexing, not querying.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Review the search service metrics for high query latency and CPU usage. — High query latency in Azure AI Search is often caused by high CPU utilization in the search service. Checking metrics in the Azure portal can reveal if the service is overburdened. Option A is wrong because storage size does not directly cause slow queries. Option C is wrong because the skillset is not involved unless enrichment is ongoing. Option D is wrong because the index schema size is not a primary performance factor.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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