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Containerized AI WorkloadshardMultiple ChoiceObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are containerizing a large language model (LLM) inference API to run in Azure Container Apps. The model weights exceed 15 GB and cause container startup timeouts because the image takes too long to pull from Azure Container Registry (ACR). You need to optimize the container startup performance without reducing the model size. What is the best approach?

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

Enable ACR artifact streaming for the container registry.

ACR artifact streaming allows containers to start immediately by streaming layers on-demand without waiting for the entire image to download locally, significantly reducing cold-start times for large AI container images.

Answer analysis

Option-by-option breakdown

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

  • Upgrade the Azure Container Apps environment to use HTTP/2 protocol.

    Why it's wrong here

    HTTP/2 settings govern application-layer traffic multiplexing and do not affect container image pull speeds.

  • Store the model weights in an Azure Blob Storage account and mount them via an ephemeral volume.

    Why it's wrong here

    While mounting storage volumes separates code from data, pulling the container image itself still suffers from large layer overhead unless optimized at the registry level.

  • Configure ACR content trust and geo-replication.

    Why it's wrong here

    Geo-replication reduces network latency by placing images closer to the deployment region, but it does not eliminate the need to pull the full image layers unless streaming is used.

  • Enable ACR artifact streaming for the container registry.

    Why this is correct

    Artifact streaming enables container runtimes to start executing containers before all layers are fully downloaded.

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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.