AI-300 ML Model Lifecycle And Operations Practice Question
A model is exhibiting data drift. You have created a drift monitor. What is the next step to automate the retraining?
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
✓
Configure an Event Grid subscription to trigger a pipeline.
After creating a monitor, you set up an 'Event Grid' subscription to notify an Azure Function or Logic App to trigger the pipeline.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Update the dataset version.
Why it's wrong here
Updating the dataset does not automatically trigger the pipeline.
- ✗
Manually restart the compute cluster.
Why it's wrong here
This does not run the pipeline code.
- ✓
Configure an Event Grid subscription to trigger a pipeline.
Why this is correct
This bridges the monitor alert to the execution logic.
- ✗
Create a 'RetrainingTrigger' in the model registry.
Why it's wrong here
There is no such resource as a 'RetrainingTrigger'.
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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.