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Containerized AI WorkloadshardMultiple SelectObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are configuring an Azure Kubernetes Service (AKS) cluster for enterprise AI workloads. Which THREE practices should you implement to enhance cluster security and isolation? (Choose three.)

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 Microsoft Entra Workload Identity for pod-to-Azure service authentication

Enterprise AKS security best practices include enabling Azure Policy for Kubernetes, using Azure RBAC for Kubernetes authorization, and utilizing Workload Identity for secure credential-less access to Azure services.

Answer analysis

Option-by-option breakdown

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

  • Configure Microsoft Entra Workload Identity for pod-to-Azure service authentication

    Why this is correct

    Workload Identity securely binds Kubernetes service accounts to Microsoft Entra identities without storing credentials.

  • Disable TLS on the API server to improve inter-node communication speed

    Why it's wrong here

    Disabling TLS severely compromises cluster security by exposing the Kubernetes API server to interception.

  • Share a single service principal across all namespaces for simplified administration

    Why it's wrong here

    Sharing a single service principal violates the principle of least privilege.

  • Enable Azure Policy for Kubernetes for governance and compliance enforcement

    Why this is correct

    Azure Policy enforces admission controls and compliance guardrails across the cluster.

  • Integrate Microsoft Entra ID with Azure RBAC for Kubernetes authorization

    Why this is correct

    Using Microsoft Entra ID and Azure RBAC provides secure, identity-based access control to cluster resources.

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-200 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-200 exam.