AI-200 Data Management Services And Vector Search Practice Question
You are troubleshooting a performance issue where an Azure AI Search indexer fails to complete within the scheduled execution window when processing large PDF documents. What is the most effective configuration change to resolve the timeout issue?
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 the indexer maxRunTime property and scale out search units or adjust batch size
Increasing the indexer maxRunTime or increasing search unit capacity helps handle large workloads during indexing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure the indexer maxRunTime property and scale out search units or adjust batch size
Why this is correct
Adjusting maxRunTime and batch sizes allows large indexer jobs to complete successfully.
- ✗
Convert all vector fields to Edm.String
Why it's wrong here
Converting vector fields to strings breaks vector indexing entirely.
- ✗
Switch the search service to the Free tier
Why it's wrong here
The Free tier has strict time limits and would cause indexers to fail faster.
- ✗
Delete all semantic configurations from the index
Why it's wrong here
Semantic configurations affect query time ranking, not indexer document parsing timeouts.
Visual reference
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-200 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-200 exam.