Drag steps to the numbered slots on the right, or tap a step then tap a slot.
AI-102 Plan and manage an Azure AI solution Practice Question
Drag and drop the steps to troubleshoot a failed Azure AI Search indexer execution into the correct order.
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
Step 1: Check indexer execution history, Step 2: Review error messages, Step 3: Verify data source connectivity, Step 4: Check skillset execution, Step 5: Re-run the indexer
First check history, review errors, verify data source, check skillset, then re-run.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Step 1: Check indexer execution history, Step 2: Review error messages, Step 3: Verify data source connectivity, Step 4: Check skillset execution, Step 5: Re-run the indexer
Why this is correct
This is the correct order because you should first examine the execution history to understand the failure context, then review specific error messages, verify the data source as the most common cause, check the skillset for transformation issues, and finally re-run after resolving issues.
- ✗
Step 1: Verify data source connectivity, Step 2: Check indexer execution history, Step 3: Review error messages, Step 4: Check skillset execution, Step 5: Re-run the indexer
Why it's wrong here
This is incorrect because verifying the data source without first checking the execution history may miss context about the failure and waste time if the issue is elsewhere.
- ✗
Step 1: Review error messages, Step 2: Check indexer execution history, Step 3: Check skillset execution, Step 4: Verify data source connectivity, Step 5: Re-run the indexer
Why it's wrong here
This is incorrect because reviewing error messages before checking the execution history is premature; the history provides context for understanding the errors.
- ✗
Step 1: Check skillset execution, Step 2: Verify data source connectivity, Step 3: Check indexer execution history, Step 4: Review error messages, Step 5: Re-run the indexer
Why it's wrong here
This is incorrect because checking the skillset before verifying the data source and history overlooks more common failure points.
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