AI-200 Containerized AI Workloads Practice Question
You want to limit the CPU resources that a specific AI inference pod can consume. Which Kubernetes field do you configure?
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
✓
resources.limits.
The 'resources.limits' field in the container spec defines the maximum CPU and memory a pod can use.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
resources.requests.
Why it's wrong here
Requests are for scheduling, limits are for enforcement.
- ✗
securityContext.
Why it's wrong here
Security context manages permissions.
- ✓
resources.limits.
Why this is correct
Limits provide the hard ceiling for resource usage.
- ✗
livenessProbe.
Why it's wrong here
Liveness probes manage health checking.
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 →
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.