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Containerized AI WorkloadshardMultiple ChoiceObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are integrating Azure Container Registry with Azure Kubernetes Service. You want to enable authentication without storing static credentials (username/password) in Kubernetes secrets. What is the recommended integration method?

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

Attach the ACR to the AKS cluster using Azure CLI attachment command

Attaching an ACR to an AKS cluster using 'az aks update --attach-acr' automatically grants the AKS kubelet managed identity permissions to pull images from the registry.

Answer analysis

Option-by-option breakdown

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

  • Store ACR admin credentials in a Kubernetes Secret object

    Why it's wrong here

    Using admin credentials and Kubernetes secrets is less secure and requires manual credential rotation.

  • Configure a Docker daemon config.json file on every node manually

    Why it's wrong here

    Manual node configuration does not scale and is difficult to maintain during node auto-scaling events.

  • Attach the ACR to the AKS cluster using Azure CLI attachment command

    Why this is correct

    ACR-AKS integration automatically configures the kubelet identity with Reader/AcrPull permissions on the registry.

  • Enable anonymous pull on the Azure Container Registry

    Why it's wrong here

    Anonymous pull exposes your proprietary AI container images publicly to anyone on the internet.

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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.