Containerized AI Workloads →mediumMultiple ChoiceObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are configuring an Azure Kubernetes Service (AKS) cluster to host GPU-accelerated AI model inference workloads using NVIDIA GPUs. Which component must you install in the cluster to enable containerized workloads to utilize the GPU nodes?

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

✓

NVIDIA GPU Operator

The NVIDIA GPU Operator automates the management of all NVIDIA software components needed to provision GPUs in Kubernetes.

Answer analysis

Option-by-option breakdown

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

✗
NVIDIA Device Plugin for Kubernetes
Why it's wrong here
While the device plugin exposes GPUs, the NVIDIA GPU Operator provides a more comprehensive automated management of drivers and runtimes.
✗
KEDA scaler
Why it's wrong here
KEDA is used for event-driven autoscaling, not for exposing hardware accelerators to containers.
✓
NVIDIA GPU Operator
Why this is correct
The NVIDIA GPU Operator automates the installation of GPU drivers, container runtime, and device plugins required for AKS GPU nodes.
✗
Azure Monitor agent
Why it's wrong here
The Azure Monitor agent collects telemetry data but does not enable GPU hardware access for containers.

About these practice questions

This AI-200 question is part of Courseiva's 503-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 →

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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

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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.