- A
Enable CORS on the Azure Function app to allow cross-origin requests
Why wrong: CORS is for browser-based requests, not for server-to-server calls from Azure AI Search.
- B
Configure a retry policy in the skillset definition for the custom skill
Retry policy handles transient errors when calling the custom skill.
- C
Provide a managed identity for the search service to access the Azure Function
Managed identity secures the connection between Azure AI Search and the custom skill endpoint.
- D
Set the indexer's execution timeout to unlimited
Why wrong: Unlimited timeout is not recommended and could cause indefinite failures.
- E
Add the external API endpoint to the indexer's allowed domains list
Why wrong: The indexer calls the custom skill, not the external API directly.
Quick Answer
The correct actions are to provide a managed identity for the search service to access the Azure Function and configure a retry policy on the custom skill. Managed identity eliminates the need for keys or secrets by allowing the Azure AI Search indexer to authenticate securely to the Azure Function hosting the custom skill, while a retry policy ensures that transient network or service failures are automatically retried, preventing enrichment failures. On the AI-102 exam, this scenario tests your understanding of how indexers communicate server-to-server with custom skills—a common trap is assuming CORS is required, but CORS only applies to browser-based calls, not backend indexer requests. Another pitfall is thinking the indexer calls the external API directly; it actually calls the custom skill endpoint, which then invokes the API. Remember the mnemonic: **M.A.R.** — Managed identity for Auth, Retry for resilience.
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. 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.
Which TWO actions should you perform to ensure that an Azure AI Search indexer can successfully enrich documents using a custom skill that calls an external API?
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
Configure a retry policy in the skillset definition for the custom skill
Options A and D are correct. A: Providing managed identity allows the indexer to authenticate to the Azure Function hosting the custom skill. D: Configuring a retry policy ensures transient failures are retried. Option B is wrong because CORS is not needed for indexer-to-function calls (they are server-to-server). Option C is wrong because the indexer does not call the API directly; it calls the custom skill endpoint. Option E is wrong because the indexer already has its own timeout settings.
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.
- ✗
Enable CORS on the Azure Function app to allow cross-origin requests
Why it's wrong here
CORS is for browser-based requests, not for server-to-server calls from Azure AI Search.
- ✓
Configure a retry policy in the skillset definition for the custom skill
Why this is correct
Retry policy handles transient errors when calling the custom skill.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Provide a managed identity for the search service to access the Azure Function
Why this is correct
Managed identity secures the connection between Azure AI Search and the custom skill endpoint.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set the indexer's execution timeout to unlimited
Why it's wrong here
Unlimited timeout is not recommended and could cause indefinite failures.
- ✗
Add the external API endpoint to the indexer's allowed domains list
Why it's wrong here
The indexer calls the custom skill, not the external API directly.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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.
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Implement knowledge mining and information extraction solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
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: Configure a retry policy in the skillset definition for the custom skill — Options A and D are correct. A: Providing managed identity allows the indexer to authenticate to the Azure Function hosting the custom skill. D: Configuring a retry policy ensures transient failures are retried. Option B is wrong because CORS is not needed for indexer-to-function calls (they are server-to-server). Option C is wrong because the indexer does not call the API directly; it calls the custom skill endpoint. Option E is wrong because the indexer already has its own timeout settings.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 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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