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Implement Generative AI And Agentic SolutionsmediumMultiple ChoiceObjective-mapped

AI-103 Implement Generative AI And Agentic Solutions Practice Question

You are building a RAG application where documents are updated frequently. You need to ensure that the Azure AI Search index reflects document deletions and updates in near real-time without performing full re-indexing. How should you design the ingestion pipeline?

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 Azure AI Search indexers with change tracking and scheduled incremental synchronization

Using incremental indexers with change tracking (such as integrated data change detection or custom push APIs with soft-delete metadata) allows efficient updates.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Increase the Azure OpenAI model deployment concurrency quota

    Why it's wrong here

    Concurrency quotas manage throughput, not search index synchronization.

  • Enable semantic caching on the OpenAI endpoint

    Why it's wrong here

    Semantic caching caches LLM completions, which would actually serve stale answers if the underlying documents change.

  • Configure Azure AI Search indexers with change tracking and scheduled incremental synchronization

    Why this is correct

    Indexers support change tracking to automatically add, update, or delete index documents based on source data changes.

  • Delete the entire search service and recreate the index daily using a batch script

    Why it's wrong here

    Recreating the entire service is inefficient, costly, and causes downtime.

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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

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