AzureAssociate

Microsoft Certified: Machine Learning Operations Engineer Associate

AI-300

Operationalise machine learning and generative AI solutions on Azure. Successor to DP-100.

Duration
100 min
Exam questions
40–60
Passing score
700 / 1000
Exam fee
$165
Question formats:Multiple choiceMultiple responseYes / NoYes / No statementsDrag and dropHot areacase study
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Mixed paper 1
Domain 1 · 25 questions
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Mixed paper 2
Domain 1 · 25 questions
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Mixed paper 3
Domain 1 · 25 questions
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Case study: Brindlecote Freight
6 questions · 10 min
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Case study: Cindervale Pensions
6 questions · 10 min

Domain papers 512 questions

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Mixed paper 1
25 questions · 60 min
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Mixed paper 2
25 questions · 60 min
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Mixed paper 3
25 questions · 60 min
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Mixed paper 4
15 questions · 36 min
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Mixed paper 5
14 questions · 34 min

Mock exams Pro

Full-length, exam-like practice tests. Available with Pro.

Mock exam 1
50 questions · 100 min
Mock exam 2
50 questions · 100 min
Mock exam 3
50 questions · 100 min

Try a sample question

All 10 sample questions →
Question 1Design and implement an MLOps infrastructure

Data scientists at Bellows College submit command jobs from the CLI v2. They don't want to create, size, or delete compute clusters, and each job should get compute only while it runs. How should they write the compute setting in their job YAML files?

  1. A.

    Set compute to azureml:serverless-cluster

  2. B.

    Set compute to azureml:local

  3. C.

    Omit the compute property from the job

  4. D.

    Set compute to the name of a compute instance

Show answer

Answer: C

Omitting compute from a command job sends it to serverless compute, which Azure Machine Learning creates, scales and removes for each job.

  • A. No compute of that name exists unless someone creates a cluster; serverless needs no compute name in a command job.
  • B. Local runs execute on the submitting machine and give no managed, scalable compute.
  • C. When no compute target is specified for command, sweep or AutoML jobs, the job runs on serverless compute.
  • D. A compute instance is a personal development VM that someone must create and manage.

What's on the exam

5 domains · 14 task statements, straight from the official exam guide (as of 2026-09-14).

  1. 1.1Create and manage resources in a Machine Learning workspace
    • Create and manage a workspace
    • Create and manage datastores
    • Create and manage compute targets
    • Configure identity and access management for workspaces
  2. 1.2Create and manage assets in a Machine Learning workspace
    • Create and manage data assets
    • Create and manage environments
    • Create and manage components
    • Share assets across workspaces by using registries
  3. 1.3Implement IaC for Machine Learning
    • Configure GitHub integration with Machine Learning to enable secure access
    • Deploy Machine Learning workspaces and resources by using Bicep and Azure CLI
    • Automate resource provisioning by using GitHub Actions workflows
    • Restrict network access to Machine Learning workspaces
    • Manage source control for machine learning projects by using Git

Outline reproduced from the vendor's public exam guide for study reference.Official guide

AI-300 practice — frequently asked questions

Are these real AI-300 exam questions?

No. Every question on CertifyCloudx is original, written by us against Microsoft Azure's publicly available AI-300 exam guide to rehearse the skills it lists. None are actual exam questions, and CertifyCloudx is not affiliated with or endorsed by Microsoft Azure.

How many AI-300 practice questions are there?

512 practice questions, including 3 full-length timed mock exams and 52 domain papers of up to 25 questions (mixed and by topic). Every question has a detailed explanation of why the right answer wins and why each distractor loses.

Is the content up to date with the current AI-300 exam guide?

The questions are written against the AI-300 exam guide dated 2026-09-14, and we revise them when Microsoft Azure updates the guide.

What question formats are covered?

The same formats the real AI-300 uses: Multiple choice, Multiple response, Yes / No, Yes / No statements, Drag and drop, Hot area, case study. Each is rendered and graded the way the exam does it.

How long is the AI-300 exam and how many questions does it have?

According to Microsoft Azure's published exam details: 40–60 questions, 100 minutes, passing score 700 / 1000. Our mock exams use the same time limit, with a question count in the middle of that range. Always confirm current details with Microsoft Azure before booking.

Can I practise AI-300 for free?

Yes. 3 papers are free, with up to 10 questions a day on the free plan and no card needed. Pro unlocks every paper and mock exam with no daily limit.

Does CertifyCloudx guarantee that I will pass?

No practice material can guarantee a result. CertifyCloudx helps you find and close your weak areas — accuracy by exam-guide domain and topic shows what to study next.