AI-200 Containerized AI Workloads Practice Question
You are configuring continuous deployment for an AI model container. Whenever a data scientist pushes code to a GitHub repository, you want Azure Container Registry to automatically build and tag the new container image without managing an external CI/CD build agent. What should you 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
✓
ACR Tasks with automated source code triggers
ACR Tasks is a cloud-native build service that builds container images on Azure without requiring a separate CI/CD infrastructure.
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 DevOps self-hosted build agent running on a VM
Why it's wrong here
Self-hosted build agents require manual virtual machine provisioning and patch maintenance.
- ✓
ACR Tasks with automated source code triggers
Why this is correct
ACR Tasks can build container images natively in Azure upon commits to GitHub repositories.
- ✗
Azure Logic Apps polling GitHub webhooks
Why it's wrong here
Logic Apps would require custom orchestration scripts to trigger Docker builds.
- ✗
An AKS deployment controller pod
Why it's wrong here
AKS deployment controllers manage pod lifecycles, not source-to-image container compilation.
About these practice questions
This AI-200 question is part of Courseiva's 507-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.