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Containerized AI WorkloadshardMultiple ChoiceObjective-mapped

AI-200 Containerized AI Workloads Practice Question

You are deploying a model that requires a specific version of a non-standard OS library. You want to ensure the build environment is consistent across your team. 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

A Dockerfile with fixed base image tags.

Multi-stage Dockerfiles ensure the build environment is defined as code and consistent.

Answer analysis

Option-by-option breakdown

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

  • Manual installation on the build agent.

    Why it's wrong here

    Manual steps are not reproducible.

  • A Dockerfile with fixed base image tags.

    Why this is correct

    Fixed tags ensure consistent environments across all builds.

  • Install the library via a post-deployment script.

    Why it's wrong here

    This leads to configuration drift.

  • Use the 'latest' tag for the base image.

    Why it's wrong here

    Using 'latest' will cause inconsistent builds over time.

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-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.