- A
Generate a data change detection policy on the data source.
A change detection policy allows the indexer to identify new/modified documents and resume from the last successful checkpoint.
- B
Configure separate indexer data sources for each language.
Why wrong: The semantic ranker supports multiple languages in a single indexer; separate data sources are not required.
- C
Set the indexer property 'failOnUnprocessedDocuments' to false.
This allows the indexer to skip documents that cause failures and continue processing, enabling resumption.
- D
Set the indexer property 'maxFailedItems' to a high value.
Why wrong: This controls the number of failures before the indexer stops, but does not enable resumption.
- E
Enable Azure Monitor logs for the indexer to track failures.
Why wrong: Indexer history is automatically available in the portal; Azure Monitor is not needed for resumption.
Quick Answer
The answer is to set the indexer property 'failOnUnprocessedDocuments' to false and configure a data change detection policy. These two actions work together to enable indexer resumption from failure in Azure AI Search by ensuring that when a failure occurs—such as a transient error in your custom Azure Function skill—the indexer can skip unprocessed documents and later resume from the last successful checkpoint rather than restarting the entire indexing job. The change detection policy, like HighWaterMarkChangeDetectionPolicy, tracks which documents have been modified, allowing the indexer to reprocess only the delta. On the AI-102 exam, this scenario tests your understanding of indexer resilience and custom skill error handling; a common trap is assuming that semantic ranker or multi-language support alone handles failures. Remember the mnemonic “No Fail, Track Change” to recall that you must disable the fail-on-unprocessed flag and implement change tracking for robust resumption.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. 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.
You are planning an Azure AI solution that uses Azure AI Search with semantic ranker and a custom skill. The solution must meet the following requirements: - Process documents in multiple languages (English, Spanish, French). - Use a custom skill to extract entities via an Azure Function. - Ensure that the indexer can resume from failures. Which TWO actions should you include in your plan?
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
Generate a data change detection policy on the data source.
Option A is correct because a data change detection policy (e.g., HighWaterMarkChangeDetectionPolicy or SqlIntegratedChangeTrackingPolicy) enables the indexer to track which documents have been modified or added. This allows the indexer to resume from failures by reprocessing only the changed or unprocessed documents, rather than starting over from scratch. Without this policy, a failure would require a full reindex, which is inefficient and violates the requirement to resume from failures.
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.
- ✓
Generate a data change detection policy on the data source.
Why this is correct
A change detection policy allows the indexer to identify new/modified documents and resume from the last successful checkpoint.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure separate indexer data sources for each language.
Why it's wrong here
The semantic ranker supports multiple languages in a single indexer; separate data sources are not required.
- ✓
Set the indexer property 'failOnUnprocessedDocuments' to false.
Why this is correct
This allows the indexer to skip documents that cause failures and continue processing, enabling resumption.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set the indexer property 'maxFailedItems' to a high value.
Why it's wrong here
This controls the number of failures before the indexer stops, but does not enable resumption.
- ✗
Enable Azure Monitor logs for the indexer to track failures.
Why it's wrong here
Indexer history is automatically available in the portal; Azure Monitor is not needed for resumption.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'maxFailedItems' with a resume mechanism, but it only controls the tolerance for failures during a single run, not the ability to resume after a failure; the correct approach is to combine a change detection policy with 'failOnUnprocessedDocuments' set to false.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Search indexers use a checkpoint mechanism that records the last successfully processed document. A data change detection policy, such as a high-water mark column (e.g., a timestamp or version number), allows the indexer to query only new or updated records since the last checkpoint. When a failure occurs, the indexer can resume from the last checkpoint, reprocessing only the failed batch. The 'failOnUnprocessedDocuments' property, when set to false, ensures that the indexer does not stop entirely if a document fails to process (e.g., due to a transient error in the custom skill), allowing it to continue with remaining documents and retry the failed ones later.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Generate a data change detection policy on the data source. — Option A is correct because a data change detection policy (e.g., HighWaterMarkChangeDetectionPolicy or SqlIntegratedChangeTrackingPolicy) enables the indexer to track which documents have been modified or added. This allows the indexer to resume from failures by reprocessing only the changed or unprocessed documents, rather than starting over from scratch. Without this policy, a failure would require a full reindex, which is inefficient and violates the requirement to resume from failures.
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: Jun 24, 2026
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.
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