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AI-103 Computer Vision Practice Question

Your enterprise application uses Custom Vision. Due to compliance policies, you must ensure that your training data and model endpoints reside within a specific Azure region with strict data residency guarantees. Which resource configuration should you use?

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

Create a Custom Vision training and prediction resource in the targeted Azure region.

Custom Vision resources must be created in an Azure region that supports Custom Vision, and data remains within that region. Using a Cognitive Services multi-service resource or regional Custom Vision resource ensures regional residency.

Answer analysis

Option-by-option breakdown

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

  • Use the Global resource endpoint for Custom Vision.

    Why it's wrong here

    Global endpoints can route data across regions, violating strict data residency requirements.

  • Use Azure AI Vision multi-service account with global routing.

    Why it's wrong here

    Global routing does not guarantee strict single-region data residency.

  • Create a Custom Vision training and prediction resource in the targeted Azure region.

    Why this is correct

    Regional Custom Vision resources ensure that training data and API calls remain within that specific geography.

  • Store images in Azure Blob Storage with geo-replication.

    Why it's wrong here

    Geo-replication replicates data to secondary paired regions, which may violate single-region residency mandates.

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Last reviewed August 2026 · checked against the official Microsoft exam blueprint

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