AI-200 Containerized AI Workloads Practice Question
You are running an AI inference workload in an Azure Kubernetes Service (AKS) cluster. The pods require access to an Azure Machine Learning workspace data store via managed identity without storing credentials in code. Which Kubernetes feature should 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
✓
Azure AD Workload Identity
Azure AD Workload Identity enables Kubernetes service accounts to securely connect to Azure cloud resources using Azure AD managed identities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure CNI Overlay
Why it's wrong here
Azure CNI Overlay is a networking mode, not an identity management feature.
- ✗
Kubernetes Secrets CSI driver
Why it's wrong here
The Secrets CSI driver mounts secrets from Key Vault but does not manage the IAM identity lifecycle natively.
- ✗
Node-level Managed Identity
Why it's wrong here
Node-level identity applies to the underlying virtual machine scale set, not specifically scoping to individual pod service accounts.
- ✓
Azure AD Workload Identity
Why this is correct
Azure AD Workload Identity integrates Kubernetes service accounts with Azure AD managed identities securely.
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.