AI-300 ML Model Lifecycle And Operations Practice Question
You are deploying a model that requires a high-memory compute for inference. You are using a 'Managed Online Endpoint'. Where do you specify the instance type for this deployment?
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
✓
In the 'Deployment' YAML file under 'instance_type'.
The instance type is defined in the 'Deployment' configuration object, typically in the 'instance_type' field.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
In the 'Endpoint' YAML file.
Why it's wrong here
The endpoint defines the service; the deployment defines the compute.
- ✗
In the 'Environment' definition.
Why it's wrong here
The environment defines the software, not the hardware.
- ✓
In the 'Deployment' YAML file under 'instance_type'.
Why this is correct
This is where compute resources are specified for the deployment.
- ✗
In the 'Workspace' settings.
Why it's wrong here
Workspace settings are global.
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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.