AI-200 Containerized AI Workloads Practice Question
You are deploying a high-performance AI model in AKS. You need to ensure the container has access to the underlying host's NVIDIA GPU. What must be configured in the Pod spec?
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
✓
Define a Resource Request for 'nvidia.com/gpu'.
The pod must request 'nvidia.com/gpu' resources to ensure the scheduler places it on a GPU node and mounts the drivers.
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 the host path '/dev/nvidia0'.
Why it's wrong here
This is unsafe and usually handled by the device plugin.
- ✗
Use an InitContainer to install the driver.
Why it's wrong here
The AKS GPU node pool already provides the necessary drivers.
- ✗
Set 'privileged: true' in the security context.
Why it's wrong here
Privileged mode is not required for GPU access and is a security risk.
- ✓
Define a Resource Request for 'nvidia.com/gpu'.
Why this is correct
This resource request is required for the NVIDIA device plugin to assign a GPU to the pod.
About these practice questions
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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.