AI-300 ML Model Lifecycle And Operations Practice Question
You are troubleshooting a model deployment failure where the container fails to start due to missing environment variables. Where do you find the logs to identify the cause?
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
✓
The 'get-logs' command for the online deployment.
The 'deployment logs' are accessible via the Azure ML Studio UI or the CLI command 'az ml online-deployment get-logs', which pulls from the container runtime.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The 'get-logs' command for the online deployment.
Why this is correct
This retrieves the specific container startup error logs.
- ✗
The Key Vault access logs.
Why it's wrong here
Key Vault logs track secret access, not container startup.
- ✗
The pipeline run history.
Why it's wrong here
Pipeline history stores training logs, not deployment logs.
- ✗
The workspace diagnostic logs in Azure Monitor.
Why it's wrong here
These show general resource health, not app-specific logs.
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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-300 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-300 exam.