AI-200 Containerized AI Workloads Practice Question
You are deploying a containerized machine learning inference service to Azure Container Apps. The model artifact is large (15 GB) and must be securely loaded during container startup. What is the most efficient way to mount this model data into the container app?
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
✓
Mount an Azure Files volume to the container app
Azure Container Apps supports mounting Azure Files or Azure Blob Storage (via blobfuse) as volumes, allowing containers to read large assets efficiently.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Mount an Azure Files volume to the container app
Why this is correct
Azure Files storage mounts allow sharing large models across container replicas without bloating the container image.
- ✗
Download the model over the public internet at container boot
Why it's wrong here
Downloading over the public internet introduces latency, security risks, and potential bandwidth limits.
- ✗
Bake the model directly into the Docker image layer
Why it's wrong here
Baking large models into images bloats image size, slows down pulling, and makes updates inefficient.
- ✗
Store the model in environment variables
Why it's wrong here
Environment variables have strict size limitations and are not suitable for multi-gigabyte AI models.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
About these practice questions
This AI-200 question is part of Courseiva's 507-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.