AI-200 Containerized AI Workloads Practice Question
You are deploying an AI model container to Azure Container Apps. The container application needs to securely connect to an Azure SQL Database without storing plain-text database credentials in environment variables or application code. What is the recommended feature to use?
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 Key Vault references with managed identity
Managed identities for Azure resources allow Azure Container Apps to authenticate to Azure services that support Azure AD authentication without embedding credentials in code or configuration.
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 Key Vault references with managed identity
Why this is correct
Azure Container Apps natively supports referencing Azure Key Vault secrets securely using a managed identity.
- ✗
Azure Container Registry admin credentials
Why it's wrong here
ACR admin credentials are used solely for pulling container images, not for connecting to external databases.
- ✗
Container Apps encrypted environment variables
Why it's wrong here
Environment variables are encrypted at rest, but secrets stored directly as environment variables are accessible in plain text within the container runtime.
- ✗
Kubernetes secrets mapped via sidecar proxy
Why it's wrong here
Azure Container Apps abstracts Kubernetes primitives, and native Key Vault integration is the standard approach rather than raw Kubernetes secrets.
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.