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AI-300 Mlops Infrastructure Practice Question

Which THREE of the following represent lifecycle stages of an ML model in Azure ML?

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

Training

Training, Registration, and Deployment are sequential stages in the model lifecycle.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Training

    Why this is correct

    The model generation phase.

  • Data Cleaning

    Why it's wrong here

    This is a data task, not a model lifecycle stage.

  • Registration

    Why this is correct

    The versioning/archival phase.

  • Deployment

    Why this is correct

    The inference phase.

  • Policy Enforcement

    Why it's wrong here

    This is a governance activity.

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-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.