Plan and manage an Azure AI solution →hardMultiple ChoiceObjective-mapped

AI-102 Plan and manage an Azure AI solution Practice Question

You manage an Azure AI Search service that indexes legal documents. The search latency is high, and you need to improve query performance without reducing index size. Which action should you take?

⚠ Common exam trap

It's easy for candidates to confuse partitions (which scale storage and indexing) with replicas (which scale query performance), leading them to incorrectly choose increasing partitions when the real need is to reduce query 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

✓

Increase the number of replicas

Increasing the number of replicas distributes query load across multiple copies of the index, which directly improves query throughput and reduces latency. Replicas are designed for scaling query operations without changing the index size or storage capacity.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Upgrade to a higher pricing tier
Why it's wrong here
Upgrading tier provides more resources but is more costly; scaling replicas is more targeted.
✗
Increase the number of partitions
Why it's wrong here
Partitions improve indexing throughput and storage, not query latency.
✗
Reduce the number of searchable fields
Why it's wrong here
Reducing fields can improve performance but may not be feasible; also does not scale.
✓
Increase the number of replicas
Why this is correct
Replicas handle more query requests in parallel, reducing latency.

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AI-102 Plan and manage an Azure AI solution Practice Question

Why each option matters

Option-by-option breakdown

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