Implement knowledge mining and information extraction solutions →hardMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Which THREE considerations are important when designing a custom skill for Azure AI Search that calls an external API for specialized data extraction?
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
✓
The API endpoint must be reachable from the search service
Correct options are A, D, and E. Custom skills must have an API endpoint reachable from the search service (public or via private endpoint) [A]. They must handle payloads up to 16 MB due to data size limits [D]. They must complete within 230 seconds (the default timeout) [E]. Option B is incorrect because custom skills can accept multiple inputs and produce multiple outputs. Option C is incorrect because custom skills can be written in any language that supports JSON.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The API endpoint must be reachable from the search service
Why this is correct
The search service must be able to call the API over the network.
- ✗
The skill can only accept one input and produce one output
Why it's wrong here
Custom skills can accept multiple inputs and produce multiple outputs.
- ✗
The skill must be written in Python
Why it's wrong here
Any language supporting JSON is acceptable.
- ✓
The skill must handle payloads up to 16 MB
Why this is correct
The maximum input size for a custom skill is 16 MB.
- ✓
The skill must complete within 230 seconds
Why this is correct
The default timeout for custom skills is 230 seconds.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.