Courseiva
Containerized AI WorkloadshardMultiple SelectObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are designing a high-performance AI inference architecture on Azure Kubernetes Service (AKS). Which THREE AKS features or configurations should you incorporate to optimize performance and resource utilization? (Choose three.)

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

Cluster Autoscaler to automatically scale node pool size based on pending pod demands

Optimizing AKS for AI workloads includes utilizing GPU-optimized node pools, node taint/tolerations to dedicate nodes to AI tasks, and cluster autoscaler for dynamic scaling.

Answer analysis

Option-by-option breakdown

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

  • Cluster Autoscaler to automatically scale node pool size based on pending pod demands

    Why this is correct

    Cluster Autoscaler adds or removes cluster nodes dynamically as resource demands fluctuate.

  • Running all pods exclusively on single-core, low-memory burstable VMs (B-series)

    Why it's wrong here

    Burstable B-series VMs are unsuitable for heavy, sustained AI inference workloads.

  • GPU-optimized node pools (such as NC or ND series virtual machines)

    Why this is correct

    GPU-optimized VMs provide hardware acceleration essential for high-throughput AI model inference.

  • Disabling the Kubernetes scheduler to manually place every container instance

    Why it's wrong here

    Disabling the scheduler removes automated cluster orchestration capabilities.

  • Node taints and tolerations to dedicate GPU nodes strictly to AI inference pods

    Why this is correct

    Taints and tolerations ensure standard application pods do not consume expensive GPU node resources.

About these practice questions

Courseiva writes every AI-200 question from scratch — 503 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.