Weak-domain targeting

The app keeps track of where you miss the most questions so you can train the exact AI-901 domains and objectives that are dragging your score down.

Exam readiness tracking

The app calculates a more believable readiness score over time instead of pretending a tiny website sample tells the whole story.

Timed tests and review

Move from the website's quick daily sampler into longer timed tests, review loops, and cleaner progress tracking inside the app.

AI-901 Practice Test: Free Azure AI Fundamentals Questions

75 verified questions are currently in the live bank. The daily set rotates at 10:00 AM local time, and each explanation links back to the source used to write it. The app unlocks the full bank, deeper objective drills, readiness tracking, and longer test modes.

Question 1 of 10

Objective 5.3 Describe AI governance, security, and operations

Which of the following best describes a policy control in an AI project?

Correct answer: A set of guidelines for ethical use and deployment.. A policy control is a set of guidelines for ethical use and deployment, which helps ensure that AI projects are conducted responsibly.

Source:Review solution adherence to Responsible AI principles

Question 2 of 10

Objective 1.3 Describe AI workloads and considerations

What is a key consideration when choosing between rule-based systems and machine learning?

Correct answer: The need for training data. Rule-based systems typically require less training data compared to machine learning models.

Source:Machine learning models

Question 3 of 10

Objective 2.2 Describe machine learning fundamentals

What is the F1 Score and how does it combine precision and recall?

Correct answer: The F1 Score is the harmonic mean of precision and recall.. The F1 Score is the harmonic mean of precision and recall, providing a single metric that balances both measures.

Source:Evaluate Model: Component Reference - Azure Machine Learning

Question 4 of 10

Objective 3.3 Describe computer vision and language workloads on Azure

Which Azure service converts spoken audio into text for transcripts and voice commands?

Azure Speech Service provides speech-to-text capabilities for transcription and voice-enabled applications.

Source:Speech to Text Overview - Speech Service

Question 5 of 10

Objective 4.1 Describe generative AI fundamentals

What does grounding in the context of generative AI refer to?

Correct answer: Providing real-world examples or references to help the model understand and generate more grounded text.. Grounding in generative AI refers to providing real-world examples or references to help the model understand and generate more grounded and contextually relevant text.

Source:Key concepts and considerations in generative AI

Question 6 of 10

Objective 5.2 Describe AI governance, security, and operations

A company is using an AI model to detect fraudulent transactions. They need a way to evaluate the model's effectiveness regularly. What should they do?

Correct answer: Conduct quality metrics analysis on the model's predictions. Quality metrics analysis helps evaluate the model's effectiveness in detecting fraudulent transactions.

Source:Evaluate AutoML experiment results

Question 7 of 10

Objective 1.1 Describe AI workloads and considerations

Which Azure service would you use to build a model that predicts customer churn based on historical data?

Azure Machine Learning is specifically designed for building and deploying machine learning models, making it ideal for predicting customer churn.

Source:What is Azure Machine Learning?

Question 8 of 10

Objective 2.1 Describe machine learning fundamentals

What type of machine learning involves grouping data points into clusters based on similarities?

Clustering is the process of organizing data points into groups or clusters based on their similarity.

Source:Clustering

Question 9 of 10

Objective 3.2 Describe computer vision and language workloads on Azure

Which Azure AI Language feature identifies people, places, and organizations mentioned in text?

Named entity recognition identifies entities such as people, locations, and organizations in text.

Source:What is the named entity recognition (NER) feature in Azure Language?

Question 10 of 10

Objective 4.2 Describe generative AI fundamentals

What are rate limits and quotas in the context of Azure OpenAI services?

Correct answer: They limit the number of API calls per minute or month. Rate limits and quotas control the number of API calls that can be made per minute or month.

Source:Azure OpenAI in Microsoft Foundry Models Quotas and Limits

AI-901 Practice Test

AI-901

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