AI-200 Containerized AI Workloads Practice Question
Which THREE of the following items should be configured to ensure your AI workload in AKS is observable?
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
✓
Prometheus and Grafana.
Logging, metrics, and tracing are the three pillars of observability in AKS.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Prometheus and Grafana.
Why this is correct
Standard stack for cluster metrics.
- ✓
Integration with Application Insights.
Why this is correct
Provides application-level tracing.
- ✗
Azure Backup.
Why it's wrong here
Backup is for data recovery, not observability.
- ✓
Azure Monitor for Containers.
Why this is correct
Collects logs and metrics.
- ✗
Azure Bastion.
Why it's wrong here
Bastion is for administrative access.
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.