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Free AI-300 practice test
Know why every answer is right or wrong.
What AI-300 covers: Design and implement an MLOps infrastructure (35%) • Implement machine learning model lifecycle and operations (25%) • Design and implement a GenAIOps infrastructure (19%)
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AI-300
Operationalizing Machine Learning and Generative AI Solutions (AI-300)
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Which action can be performed using the 'az ml online-endpoint delete' command in Azure Machine Learning?
A. Incorrect: It involves configuring autoscaling, which is unrelated to deleting an endpoint.
B. Incorrect: Deploying a new version of a model does not involve removing the existing endpoint and its deployments.
C. Incorrect: Rolling out new deployments for real-time inference pertains to updating or replacing models rather than deleting them.
D. Correct: It accurately describes the purpose of the 'az ml online-endpoint delete' command, which removes an endpoint along with all associated deployments.
Which feature of Azure Machine Learning supports deploying foundation models with serverless compute for high-volume workloads?
A. Incorrect: It manages different versions of models but does not directly support serverless compute for high-volume workloads.
B. Incorrect: It is related to database performance tuning and do not pertain to deploying ML models with serverless compute.
C. Incorrect: It provides scalable computing resources but does not specifically enable the serverless deployment of foundation models.
D. Correct: Serverless API endpoints allow for automatic scaling and management, ideal for deploying high-volume workloads without provisioning infrastructure.
A team wants prompt updates reviewed before they affect a production GenAIOps workflow. Which source-control practice best supports that goal?
A. Correct: Pull requests add review and traceability before prompt changes are merged into production source control.
B. Incorrect: Storage-account separation does not provide prompt review, version history, or approval workflow.
C. Incorrect: Throughput units affect capacity and performance, not source-control review of prompts.
D. Incorrect: Disabling approvals removes the control that protects production GenAIOps changes.
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When implementing model monitoring in Azure Machine Learning, which of the following is a key factor to consider for ensuring alerts are triggered appropriately?
A. Correct: Setting thresholds for metrics based on production inference data because it helps identify anomalies and performance degradation by comparing real-time model outputs with historical or ground truth data.
B. Incorrect: Using historical training data as the sole reference point because it may not account for changes in consumer behavior, data distribution shifts, or other factors affecting model performance in production.
C. Incorrect: Disabling all alert mechanisms to reduce operational overhead because it undermines the purpose of monitoring by failing to detect and respond to issues that could affect model performance and business value.
D. Incorrect: Ignoring changes in consumer behavior because such changes can significantly impact model accuracy and relevance, necessitating continuous monitoring and adjustment.
Which type of agent in Microsoft Foundry Agent Service is best for evaluating the coherence of generated text without requiring any code?
A. Correct: Prompt agents allow for evaluating generated text coherence without needing to write any code.
B. Incorrect: It is designed for orchestrating multiple tasks and do not focus on evaluating text coherence directly.
C. Incorrect: It provides a managed environment but still require configuration that goes beyond simple evaluation of text coherence.
D. Incorrect: Necessitate writing custom scripts or code, which contradicts the requirement for no-code evaluation.
Which package is used for integrating Apache Airflow with Azure Machine Learning?
A. Incorrect: It is used for logging and tracking experiments but does not integrate Apache Airflow with Azure Machine Learning.
B. Correct: The airflow-provider-Azure-machinelearning package provides integration between Apache Airflow and Azure Machine Learning services.
C. Incorrect: It relates to version control systems, not specifically to integrating Apache Airflow with Azure Machine Learning.
D. Incorrect: It is used for event-driven architectures in Azure but does not provide the necessary integration between Apache Airflow and Azure Machine Learning.
Which Java class builds a Foundry project client in the Azure AI Projects SDK?
A. Correct: ProjectsClientBuilder is the SDK builder used to create a Foundry project client.
B. Incorrect: OpenAIClient is not the builder for the Foundry project client.
C. Incorrect: ManagementClient is for Azure management scenarios, not Azure AI Foundry project clients.
D. Incorrect: DefaultAzureCredential provides credentials, but it is not the builder class that creates the project client.
Which mode in Content Understanding Studio allows for the creation of a custom analyzer with advanced customization options?
A. Correct: It provides advanced customization options for creating a custom analyzer.
B. Incorrect: It does not offer the level of customization needed to create a custom analyzer with advanced settings.
C. Incorrect: It lacks the necessary features and flexibility required for advanced customization.
D. Incorrect: Although it may provide enterprise-level benefits, it does not specifically mention advanced customization options.
Which feature of Azure Machine Learning enables secure access to Git repositories for version control?
A. Incorrect: In Azure Machine Learning supports experiment tracking and model management but does not directly provide secure access to Git repositories.
B. Correct: Git integration enables secure version control for machine learning projects, allowing teams to manage code changes and collaborate effectively.
C. Incorrect: Facilitates event-driven architectures by connecting Azure services with custom webhooks or Azure functions, unrelated to Git repository access.
D. Incorrect: It supports workflow management but does not provide secure access to Git repositories for version control.
Which Azure service should a team use to collect traces and token-usage telemetry from a Foundry generative AI app?
A. Correct: Application Insights collects application telemetry and traces that support monitoring of Foundry workloads.
B. Incorrect: Routes events between services but is not the primary observability store for traces.
C. Incorrect: It protects secrets and keys rather than collecting runtime telemetry.
D. Incorrect: Enforces governance rules but does not collect application traces or token-usage data.
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122 verified questions are currently in the live bank. Questions updated at May 12, 2026, 10:53 PM CDT. The daily set rotates at 10:00 AM local time, and each explanation links back to the source used to write it. Use the web set for quick practice, then switch to the app when available for larger banks and deeper review.
AI-300 fits when you are moving past fundamentals and into Microsoft AI engineering, MLOps, and production workflow decisions.
- Role examples: AI engineer, machine learning engineer, MLOps engineer, and cloud AI platform builder.
- Where it shows up: machine learning operations, Azure AI engineering, model deployment, and AI platform work.
- On-the-job payoff: your role touches pipelines, environments, deployments, monitoring, or operational GenAI systems.
- Typical next step: Usually after AI-901 and pairs well with AI-102 when apps and services are part of the job.
AI-300 usually rewards clean service-selection logic, role clarity, and matching the scenario to the right Microsoft capability.
- Current emphasis in this bank: Design and implement an MLOps infrastructure (35%).
- A lot of misses happen when the answer sounds like the right Microsoft product family but does not actually fit the workload, admin scope, or governance constraint in the prompt.
- Best official starting point: Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate (beta).
The fastest path is to turn this exam into a repeatable pattern-recognition loop instead of a one-time cram session.
- Start with the free daily set closed-book so you can see which parts of the cloud and it lane still feel weak.
- Use every explanation as a checkpoint for why the right answer fits the scenario and why the other answer choices do not.
- Open the official Microsoft source when a concept keeps missing so you fix the gap at the source instead of rereading generic notes.
- Use the nearby cert pages when you need broader context around the same job path or technology stack.
The usual misses happen when learners recognize keywords but do not slow down enough to match the scenario to the exact decision the exam is testing.
- Reading for one familiar keyword and skipping the deeper clue that tells you which cloud and it concept actually fits.
- Memorizing isolated terms without checking why the right answer wins over the other answer choices in the same scenario.
- Ignoring the official Microsoft source after a miss and hoping the next question will feel easier on its own.
- Studying this page in isolation when one nearby cert page could clear up the broader pattern much faster.
The fastest path is simple: answer the set, review the reasoning, then use the score history and source links to decide what to hit next.
- Answer the free set first without looking anything up so the score reflects what is actually sticking.
- Read every explanation, especially the wrong answer choices, so the weaker options stop looking plausible next time.
- Open the linked source when a concept feels weak, then come back and repeat the question flow while the wording is fresh.
- Use the 7-day score keeper, related cert links, and comparison pages to decide what to study next instead of guessing.
- Move into the app when you want the full bank, timed reps, readiness tracking, and a steadier mobile study loop.
Use these official Microsoft resources alongside the daily practice set. They cover the provider's own exam page, study guide, or prep material.
Need adjacent Microsoft practice pages too? Microsoft practice hub.
How are AI-300 questions generated?
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Why use the app when available?
The web page is the quick free sampler. If a dotCreds app is available for AI-300, the app is better for larger banks, focused weak-domain drills, longer review sessions, and mobile study routines.