Implement knowledge mining and information extraction solutions →hardMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your knowledge mining solution uses Azure AI Search with a custom skill that calls an Azure Function to perform complex data validation. The custom skill returns an error for some documents, but the indexer continues without raising an error. What is the most likely cause?
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 indexer is configured with 'allowSkillsetToExecuteIfError' set to true.
By default, indexers continue on error. To stop on skill errors, set 'allowSkillsetToExecuteIfError' to false. The indexer treats skill errors as warnings by default.
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 indexer is configured with 'allowSkillsetToExecuteIfError' set to false.
Why it's wrong here
Setting it to false would cause the indexer to stop on error, not continue.
- ✓
The indexer is configured with 'allowSkillsetToExecuteIfError' set to true.
Why this is correct
When true, skill errors are treated as warnings and the indexer continues processing other documents.
- ✗
The Azure Function returns HTTP 200 with an error message in the body.
Why it's wrong here
A 200 response is considered success; errors must be indicated via specific status codes or the 'errors' field in the response.
- ✗
The custom skill's output field mapping is incorrect.
Why it's wrong here
Incorrect mapping would cause missing data but not silent continuation.
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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.