- A
Reduce the maximum number of results returned per query
Why wrong: Reducing results may affect user experience but not query performance.
- B
Increase the number of replicas
Adding replicas allows load balancing and faster query responses.
- C
Remove all facet fields from the index
Why wrong: Removing facets reduces filtering options but doesn't directly improve query performance.
- D
Disable complex query types such as fuzzy and regex
Why wrong: Disabling query types may reduce result quality.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 Azure AI Search index contains millions of documents. Users report that search results are slow for complex queries. You need to improve query performance without reducing result quality. Which action should you take?
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 in Azure AI Search distributes query load across multiple copies of the index, enabling parallel processing of complex queries. This directly improves query throughput and latency without altering the index schema or reducing result quality, as replicas provide dedicated resources for query execution.
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.
- ✗
Reduce the maximum number of results returned per query
Why it's wrong here
Reducing results may affect user experience but not query performance.
- ✓
Increase the number of replicas
Why this is correct
Adding replicas allows load balancing and faster query responses.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Remove all facet fields from the index
Why it's wrong here
Removing facets reduces filtering options but doesn't directly improve query performance.
- ✗
Disable complex query types such as fuzzy and regex
Why it's wrong here
Disabling query types may reduce result quality.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse replicas (which improve query performance and availability) with partitions (which improve indexing speed and storage capacity), leading them to choose options that degrade functionality instead of scaling resources.
Detailed technical explanation
How to think about this question
Azure AI Search replicas are independent copies of the index, each with its own query endpoint. When you increase replicas, the load balancer distributes incoming queries across them, allowing concurrent execution of resource-intensive operations like fuzzy or regex searches. Under the hood, each replica runs its own instance of the search engine, so adding replicas linearly increases query capacity (QPS) without affecting the index size or partitioning. In a real-world scenario, a knowledge base with millions of documents and frequent wildcard queries would see significant latency reduction by scaling from 1 to 3 replicas, as each replica handles a fraction of the total query load.
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.
TExam Day Tips
- 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the number of replicas — Increasing the number of replicas in Azure AI Search distributes query load across multiple copies of the index, enabling parallel processing of complex queries. This directly improves query throughput and latency without altering the index schema or reducing result quality, as replicas provide dedicated resources for query execution.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
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