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Plan And Manage AN Azure AI SolutioneasyMultiple ChoiceObjective-mapped

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

Which Azure feature allows you to control which users can modify or delete your Azure AI resources?

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

Azure RBAC.

Azure RBAC (Role-Based Access Control) manages fine-grained permissions for users on Azure resources.

Answer analysis

Option-by-option breakdown

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

  • Azure RBAC.

    Why this is correct

    RBAC is specifically designed to manage access to Azure resources.

  • Conditional Access policies.

    Why it's wrong here

    These govern login conditions, but RBAC is the primary mechanism for resource-level actions.

  • Azure Firewall.

    Why it's wrong here

    Firewall is for network traffic, not user identity permissions.

  • Resource Locks.

    Why it's wrong here

    Locks prevent accidental deletion, but RBAC is the primary method for granting user-level permissions.

Quick reference

Access Control Model Comparison

ModelAcronymWho Controls Access?Best For
Discretionary Access ControlDACResource ownerSmall teams, file shares
Mandatory Access ControlMACSystem / security labelsClassified govt / military
Role-Based Access ControlRBACAdministrator (via roles)Enterprise environments
Attribute-Based Access ControlABACPolicy engine (user + resource attributes)Fine-grained, dynamic policies
Rule-Based Access ControlRuBACSystem rules / ACLsFirewall rules, network ACLs

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JA

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.