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AI-300 Practice Question: Which Azure feature is used to define infrastructure as code for your Azure ML workspace?

Which Azure feature is used to define infrastructure as code for your Azure ML workspace?

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

✓

Azure Bicep

Azure Bicep is the recommended tool for defining and deploying Azure resources as code.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Azure Portal

    Why it's wrong here

    The Azure Portal is a graphical interface for manual resource creation; it produces no version-controlled template defining the workspace. It is tempting because the portal is the standard starting point for exploring and provisioning services, and would be correct for one-off interactive setup rather than repeatable infrastructure as code.

  • ✓

    Azure Bicep

    Why this is correct

    Azure Bicep is a declarative domain-specific language that compiles to ARM templates, letting you define the Azure ML workspace and its dependent resources — storage account, Key Vault, Application Insights, container registry — as versioned infrastructure as code, satisfying the stem's requirement for reproducible, template-based workspace provisioning.

  • ✗

    PowerShell

    Why it's wrong here

    PowerShell likewise executes imperative cmdlets and stores no declarative template describing the workspace configuration. It is tempting because PowerShell is a legitimate automation and administration tool for Azure resources, and would be correct for scripted operational tasks rather than defining infrastructure as code.

  • ✗

    Azure CLI

    Why it's wrong here

    Azure CLI issues imperative commands against existing resources; it does not declare a workspace's desired state as a template file. It is tempting because CLI scripting is genuinely useful for automating deployments, and would be correct for ad-hoc or pipeline-driven provisioning rather than infrastructure as code.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Security Systems Architect · 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.