- 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.
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
Option B is correct because a custom skill in an Azure AI Search skillset can fail due to transient errors when calling an external API. Configuring a retry policy in the skillset definition allows the indexer to automatically retry failed skill executions, improving resilience. Option C is correct because using a managed identity for the search service eliminates the need to manage credentials when accessing an Azure Function, providing secure authentication without storing secrets.
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
The trap here is that candidates often confuse client-side CORS requirements with server-to-server authentication, leading them to select Option A, when in fact managed identity and retry policies are the correct mechanisms for secure and resilient custom skill execution.
Detailed technical explanation
How to think about this question
The retry policy for custom skills is defined in the skillset JSON under the 'retryPolicy' property, where you can specify 'maxRetryCount' and 'retryInterval' to handle HTTP 429 (rate limiting) or 5xx server errors. Managed identity authentication uses Azure AD tokens, which are automatically rotated and scoped to the search service's identity, avoiding the need to store keys in connection strings. In practice, a common scenario is an indexer calling a custom skill hosted on an Azure Function behind a firewall; using a managed identity with RBAC permissions on the Function App ensures secure, credential-free access.
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 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.
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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 — Option B is correct because a custom skill in an Azure AI Search skillset can fail due to transient errors when calling an external API. Configuring a retry policy in the skillset definition allows the indexer to automatically retry failed skill executions, improving resilience. Option C is correct because using a managed identity for the search service eliminates the need to manage credentials when accessing an Azure Function, providing secure authentication without storing secrets.
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: Jul 4, 2026
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