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Plan And Manage AN Azure AI SolutionmediumMultiple ChoiceObjective-mapped

AI-103 Plan And Manage AN Azure AI Solution Practice Question

You are deploying a custom model to an Azure AI managed endpoint. You need to ensure the deployment can access a Key Vault secret without storing credentials in the deployment configuration. What should you do?

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

Assign a User-assigned managed identity to the endpoint and grant it Key Vault Secrets User access.

Using a User-assigned managed identity allows the endpoint to authenticate to other Azure services like Key Vault securely.

Answer analysis

Option-by-option breakdown

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

  • Enable public access on the Key Vault and use an IP firewall rule.

    Why it's wrong here

    This is less secure than using identity-based access.

  • Inject the secret directly into the environment variables during deployment.

    Why it's wrong here

    Environment variables are insecure for sensitive data.

  • Configure a System-assigned identity on the endpoint and grant it Key Vault Reader access.

    Why it's wrong here

    User-assigned is often preferred for cross-resource deployment stability, but the identity must be explicitly granted access.

  • Assign a User-assigned managed identity to the endpoint and grant it Key Vault Secrets User access.

    Why this is correct

    Managed identities allow Azure resources to authenticate to Key Vault without storing secrets.

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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

This AI-103 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-103 exam.