Microsoft
Free Microsoft AI-300 Practice Questions
The Microsoft AI-300 exam is up to 50 questions in 120 minutes, and the voucher costs $165. CertCrush provides 400 syllabus-aligned practice questions and 20 performance-based questions across all 5 exam domains, each with a full explanation. Free to try, no account required.
Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions) is the exam behind the Machine Learning Operations Engineer Associate certification: running Azure Machine Learning workspaces as provisioned infrastructure, taking a model from training job to monitored endpoint, and doing the equivalent for generative AI applications and agents in Microsoft Foundry. It targets data scientists and ML engineers who now own the pipeline, the deployment and the observability rather than only the notebook.
Practice content last updated · Independently written and aligned to Microsoft’s published exam objectives.
10
Sample questions
120 min
Exam time limit
70%
Practice pass mark
$165
Exam voucher
About the Microsoft AI-300 Exam
AI-300 is the exam Microsoft wrote for the person who keeps machine learning running in production, not for the person who trains a model once. The Azure Data Scientist Associate certification behind DP-100 is retired, and the work moved here. AI-300 treats Azure Machine Learning workspaces, datastores, compute targets and registries as infrastructure you provision with Bicep and the Azure CLI, and it expects you to automate that provisioning with GitHub Actions. The blueprint splits across five skills, and its shape catches people out. Model lifecycle and operations is the largest area at 25 to 30 percent: MLflow experiment tracking, hyperparameter sweeps, model registration, real-time and batch endpoints, progressive rollout, drift detection and retraining triggers. Add the MLOps infrastructure skill and roughly half the exam is traditional Azure Machine Learning. The rest is GenAIOps in Microsoft Foundry: foundation models on serverless API endpoints or managed compute, provisioned throughput units for high-volume workloads, prompt versioning in Git, groundedness and relevance evaluation, risk and safety checks, tracing, token cost tracking, RAG tuning and fine-tuning. Candidates from a data science background tend to lose marks on the infrastructure side rather than the modelling side. Questions ask which identity a workspace should use to reach a datastore, whether a private endpoint or a service endpoint satisfies a network restriction, and which rollout strategy lets you withdraw a bad model version without downtime. Those are DevOps decisions with an Azure Machine Learning accent, and they are half the paper.
Exam Domains Covered
Exam Format & Details
Microsoft has not published an exact question count for AI-300; its general guidance is that most role-based exams run 40 to 60 questions. Expect multiple-choice and multiple-response items alongside the interactive types Microsoft uses on role-based exams, including drag and drop, build list, active screen and hot area, all set in AIOps scenarios rather than definition recall. The exam page states you have 120 minutes to complete the assessment, which is Microsoft's duration tier for associate exams that may contain labs, and the exam policy notes you may have interactive components. Scored on a scale of 1 to 1000 with 700 required to pass, which this app tracks as 70%. Booked through Pearson VUE, either online-proctored or at a test centre; the standard US associate-exam voucher price is 165 USD, with regional pricing elsewhere. English is the only language listed on the exam page.
Why Practice Questions Matter
AI-300 questions describe a pipeline that already exists and ask which change satisfies a stated constraint: a workspace that must reach storage with no public access, a drift signal that has to trigger retraining, an evaluation that has to catch ungrounded answers before release. Recalling service names does not get you there, because two options usually both work technically and only one meets the constraint. Practising against a bank written the same way shows you where you would guess, whether that is sizing provisioned throughput, choosing a safe rollback, or knowing which Foundry evaluator measures groundedness rather than relevance, while guessing still costs nothing.
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Drag-and-drop, sequencing and configuration tasks that mirror the interactive questions on the real Microsoft AI-300 exam, marked with partial credit.
Sample Practice Questions
The following questions are a preview of the type of syllabus-aligned questions you will practise in CertCrush. They reflect the format and reasoning style of the Microsoft AI-300 exam, not actual exam content.
Q1.A team registers a datastore for a Blob container using an account key. Where does the account key itself end up after the datastore is created?
- A.In the key vault created alongside the workspace
- B.In the workspace metadata record itself, encrypted at rest
- C.In the default storage account under the workspaceblobstore container
- D.In the container registry alongside the environment images
Domain: Design and implement an MLOps infrastructure
Q2.An auditor asks which training script produced version 7 of a registered model and wants to read that exact code. Which Azure Machine Learning object holds the answer?
- A.The job record in the workspace, including its script snapshot
- B.The datastore that supplied the training data
- C.The container registry image tag for the training environment
- D.The compute cluster node that executed the run
Domain: Design and implement an MLOps infrastructure
Q3.A newly created workspace has had no datastores registered by anyone. A job output path in studio still resolves to a blob location. Which datastore name appears in that path?
- A.workspaceblobstore
- B.workspacefilestore
- C.default_blob_store
- D.azureml_default_datastore
Domain: Design and implement an MLOps infrastructure
Q4.Three data scientists each need an interactive Jupyter and VS Code environment inside the workspace for day-to-day exploration. What should you provision?
- A.Three compute instances, one per data scientist
- B.One compute instance that all three sign in to
- C.One compute cluster with max_instances set to 3
- D.One attached Kubernetes cluster with three node pools
Domain: Design and implement an MLOps infrastructure
Q5.A finance analyst must open studio, browse completed jobs and read logged evaluation metrics. The analyst must never be able to submit a job. Which role should you assign at the workspace scope?
- A.Reader
- B.AzureML Data Scientist
- C.AzureML Metrics Writer (preview)
- D.Contributor
Domain: Design and implement an MLOps infrastructure
Q6.A colleague holds AzureML Data Scientist at the workspace scope and reports that an attempt to create a new training cluster fails. Which action does that role withhold?
- A.Creating or deleting managed compute
- B.Registering a new model version
- C.Submitting a training job
- D.Creating an online endpoint deployment
Domain: Design and implement an MLOps infrastructure
Q7.An engineer runs az ml workspace create against a resource group that contains nothing else. Which resources does Azure provision alongside the workspace when no existing ones are supplied? (Choose TWO.)
- A.A key vault
- B.A storage account
- C.A compute cluster sized Standard_DS3_v2
- D.A managed online endpoint
- E.A user-assigned managed identity
Domain: Design and implement an MLOps infrastructure
Q8.Which storage services can be registered directly as an Azure Machine Learning datastore? (Choose TWO.)
- A.An Azure Blob container
- B.An Azure Data Lake Storage Gen2 account
- C.An Azure SQL Database
- D.An Azure Cosmos DB container
- E.An Azure Cache for Redis instance
Domain: Design and implement an MLOps infrastructure
Q9.Before any compute is created in a workspace that is being locked down, the managed virtual network must already exist. Which command forces that provisioning?
- A.az ml workspace provision-network
- B.az ml workspace update --public-network-access Disabled
- C.az ml compute create --file network.yml
- D.az ml workspace create --file workspace.yml --resource-group rg-mlops-prod
Domain: Design and implement an MLOps infrastructure
Q10.A job must address a file in an ADLS Gen2 account directly, without going through any registered datastore. Which URI prefix is correct for that account?
- A.abfss://
- B.wasbs://
- C.adl://
- D.azureml://
Domain: Design and implement an MLOps infrastructure
Microsoft AI-300 guides & exam news
How to Pass the Microsoft AI-300 Exam in 2026: An 8-Week Study Plan for the New Azure Machine Learning Operations (MLOps) Engineer Certification
AI-300 is Microsoft's new MLOps Engineer Associate exam, replacing DP-100. Here is a complete 8-week study plan covering all five domains, the 700/1000 pass mark, and the Azure ML and Foundry skills you need to pass first time.
Microsoft AB-650 Exam Topics and Domain Weightings in 2026: The MS-102 Replacement, Now in Beta
AB-650 replaces MS-102 as Microsoft's tenant administration exam, and the weightings tell a different story. Security and governance take 40 to 45 percent, AI services take 35 to 40 percent, and classic tenant admin is down to a fifth of the exam.
PL-900 Exam Changes in 2026: New Copilot Studio Topics, Cost and Is It Still Worth It?
Microsoft rewrote the PL-900 exam on 24 July 2026. Power Pages is gone, a Copilot Studio agents domain worth 20 to 25 percent replaced it, and most study material still teaches the old outline. Here is what changed and whether the exam is still worth booking.
Frequently Asked Questions
Does the Microsoft AI-300 course include performance-based questions?
Yes. The Microsoft AI-300 course includes 20 performance-based questions (PBQs): hands-on tasks that mirror the interactive questions on the real exam, including drag-and-drop matching, sequencing and configuration screens. Each one is marked with partial credit, so you can see exactly which placements were wrong, and every task includes a full explanation. The first two are free to try.
What is included in the free Microsoft AI-300 sample?
The free sample includes 10 syllabus-aligned practice questions, sample flashcards, and a preview chapter from the study guide. No account or payment is required to try the sample.
How many questions are in the full Microsoft AI-300 course?
The full Microsoft AI-300 course includes 400 practice questions and 20 performance-based tasks, covering all 5 exam domains. Every question carries a full explanation for the right answer and the wrong ones.
Are these official Microsoft exam questions?
No. CertCrush questions are independently written and syllabus-aligned. They mirror the format, difficulty, and reasoning style of the official exam. We are not affiliated with or endorsed by Microsoft.
Which domains does the Microsoft AI-300 course cover?
The course covers 5 exam domains: Design and implement an MLOps infrastructure, Implement machine learning model lifecycle and operations, Design and implement a GenAIOps infrastructure, Implement generative AI quality assurance and observability, Optimize generative AI systems and model performance.
Can I study on mobile?
Yes. CertCrush is fully responsive and works on phones, tablets, and desktops. The timed exam, flashcards, and study guide all work on mobile without installing an app.
What happens when I create an account?
Creating a free account lets you access full courses, track your weak areas by domain, and resume practice sessions across devices. No credit card is required to register.