How are AI-901 questions generated?

dotCreds builds AI-901 practice questions from public exam objectives and Microsoft Learn and exam-objective references. The questions are written for realistic study practice, not copied from exam dumps.

How are explanations sourced?

Each question includes an explanation and, when available, a source link back to the provider documentation or reference used to validate the answer. That keeps the practice tied to study material you can actually review.

The page tracks today's answered count and accuracy for the 10-question daily set, then saves a 7-day score history on this device so you can see your recent practice trend.

The site is the fastest way to start AI-901 practice without installing anything. It is built for daily recall, quick weak-topic discovery, and source-backed explanations you can review immediately.

Why use the app when available?

The web page is the quick daily practice layer. If a dotCreds app is available for AI-901, the app is better for larger banks, focused weak-domain drills, longer review sessions, and mobile study routines.

Free AI-901 Practice Test (2026) - Microsoft AI Fundamentals Questions

AI-901 Practice Test

Work through a fresh 10-question AI-901 set every day from the same verified live bank used by the app, with exact source links and a countdown to the next rotation.

10 Free Daily Questions Source-backed Explanations 220 Verified Questions

Questions updated at Jul 6, 2026, 9:25 AM CDT

Guided Course Included Learn AI-901 step by step. Structured lessons, progress tracking, and practice questions tied to this same bank.

Step-by-step lessons Resume progress anytime Practice tied to the same bank Built for exam prep

Start AI-901 Guided Course

Unlock the full AI-901 bank

220 verified exam-style questions $2.99 one-time No subscription Secure checkout Instant unlock

Get the complete source-backed bank with correct-answer explanations, distractor breakdowns, saved review, and exam-style practice.

Instant unlock • Secure checkout • No subscription

Exam Mode Practice Mode Weak-area review Previous scores Source links Every choice explained No ads

AI-901 Pro $2.99 one-time

Best if you only need this one certification and want the lower fundamentals price.

50 Exam Practice Test $1.99 one-time

A 50-question AI-901 PDF for short review sessions. Questions come first, then the answer review and explanations later in the file.

Microsoft AI Bundle $9.99 one-time

Microsoft AI fundamentals, Azure AI engineering, agents, and MLOps practice. Best for learners building toward AI engineer roles.

What’s includedAI-901, AI-102, AI-103, AI-300

Azure AI Bundle $9.99 one-time

Best if you are working across Azure AI fundamentals, apps and agents, Copilot admin, implementation, and engineering practice together.

What’s includedAI-901, AB-900, AI-102, AI-103, AI-300

Microsoft Access $6.99/month

Unlock Microsoft, Azure, Power Platform, Copilot, and AI practice exams.

Why it fitsUnlock Microsoft, Azure, Power Platform, Copilot, and AI practice exams, Includes current and future Microsoft practice banks on dotCreds, Best for learners taking more than one Microsoft exam, PDF downloads sold separately where available

Choose an unlock option to continue. We will confirm your site email in one quick checkout step.

Unlock the full AI-901 bank. No ads.

Get the full bank, Exam Mode, Practice Mode, question sets, random tests, readiness tracking, saved box scores, and review tools for this exam.

The PDF versions keep questions first and move the answer review, explanations, and distractor notes to the back of the file.

220 verified exam-style questions Every choice explained Exam Mode and Practice Mode Question sets and random tests Readiness score and trends Previous test box scores

You've answered 0/10 questions in today's set.

Locked: 210 more questions in the full bank.

Locked: exam simulation mode, practice mode, readiness tracking, and saved review history.

Checkout stays on this page, so you can keep practicing, unlock the full bank, and start Exam Mode or Practice Mode when you are ready.

No ads

Question 1 When is a machine learning model more appropriate than a fixed rule-based system?

Answer choices

A. Applying a fixed tax formula to an invoice total
B. Routing a request through a hard-coded approval matrix
C. Rejecting passwords that do not match a required pattern
D. Generating personalized recommendations based on user behavior

Correct answer

Generating personalized recommendations based on user behavior

Machine learning is useful when patterns are learned from data and are difficult to capture as static rules. Generating personalized recommendations based on user behavior is correct because user behavior patterns can be learned from examples. Fixed formulas, approval matrices, and password rules are deterministic.

Wrong-answer review

A. Applying a fixed tax formula to an invoice total: A fixed tax formula is deterministic and works well as rules.
B. Routing a request through a hard-coded approval matrix: A hard-coded approval matrix is explicit rule logic.
C. Rejecting passwords that do not match a required pattern: Password pattern rejection can be implemented with fixed validation rules.

Objective/domain: Describe AI workloads and considerations (1.3)

Source: Machine learning models

Question 2 A model is too simple to learn the true patterns and performs poorly on both training and validation data. What problem is this?

A. A model that fails to capture the underlying patterns in the data, leading to poor performance on both training and validation data
B. A model that performs well on both training and validation data
C. A model that overgeneralizes to new data, performing poorly
D. A model that makes predictions with high accuracy but is overly complex

A model that fails to capture the underlying patterns in the data, leading to poor performance on both training and validation data

Objective/domain: Describe machine learning fundamentals (2.2)

Source: Prepare data for building a model

Question 3 A team includes examples and reference passages in a prompt so a language model can produce a more grounded response. What is the purpose of those additions?

A. Providing real-world examples or references to help the model understand and generate more grounded text
B. Creating a database to store information about different domains
C. The process of integrating physical sensors into a machine learning model
D. Designing algorithms for autonomous vehicle navigation

Providing real-world examples or references to help the model understand and generate more grounded text

Objective/domain: Describe generative AI fundamentals (4.1)

Source: Key concepts and considerations in generative AI

Question 4 A catalog team wants automatic captions and tags for product photos, and it does not want to train a custom model. Which Azure AI Vision feature meets that need?

A. Named entity recognition
B. Automated ML forecasting
C. Image Analysis
D. Speech translation

Image Analysis

Objective/domain: Describe computer vision and language workloads on Azure (3.1)

Source: What is Image Analysis?

Question 5 An app needs prebuilt image analysis without training a custom model. Which Azure product family should the developer start with?

A. Azure Functions
B. Azure Logic Apps
C. Azure AI services
D. Azure Machine Learning

Azure AI services

Objective/domain: Describe AI workloads and considerations (1.1)

Source: Plan and Prepare to Develop AI Solutions on Azure - Training

Question 6 What is the role of a pipeline in Azure Machine Learning?

A. To define the sequence of steps for data preprocessing, model training, and evaluation
B. To store and version datasets
C. To monitor the performance of deployed models
D. To manage and automate the deployment of machine learning models

To define the sequence of steps for data preprocessing, model training, and evaluation

Objective/domain: Describe machine learning fundamentals (2.3)

Source: What is Azure Machine Learning?

Question 7 Which description best matches a large language model in a generative AI system?

A. A device used to store and process large amounts of data
B. A machine learning model that generates human-like text based on input data
C. A type of neural network designed for image recognition tasks
D. A software application that translates languages from one to another

A machine learning model that generates human-like text based on input data

Question 8 A call-center application needs to convert spoken audio into text transcripts for search and analysis. Which Azure service should it use?

A. Azure Speech Service
B. Azure AI Face
C. Azure AI Vision
D. Azure AI Language

Azure Speech Service

Objective/domain: Describe computer vision and language workloads on Azure (3.3)

Source: Speech to Text Overview - Speech Service

Question 9 An AI system handles sensitive customer data. Which design choice supports security and privacy?

A. Ignore potential security vulnerabilities as unlikely to be exploited
B. Use complex algorithms that are difficult to understand
C. Allow users to bypass the system for quick transactions
D. Implement strict data encryption and access controls

Implement strict data encryption and access controls

Objective/domain: Describe AI workloads and considerations (1.2)

Source: Identify guiding principles for responsible AI

Question 10 A model separates customers into groups based on similar behavior without using predefined labels. Which algorithm type is used?

A. Regression
B. Classification
C. Supervised Learning
D. Clustering

Clustering

Objective/domain: Describe machine learning fundamentals (2.1)

Source: Clustering

AI-901 Practice Test

AI-901

Why this page works

Unlock the full AI-901 bank

Practice with explanations that teach.

When is a machine learning model more appropriate than a fixed rule-based system?

A model is too simple to learn the true patterns and performs poorly on both training and validation data. What problem is this?

A team includes examples and reference passages in a prompt so a language model can produce a more grounded response. What is the purpose of those additions?

A catalog team wants automatic captions and tags for product photos, and it does not want to train a custom model. Which Azure AI Vision feature meets that need?

An app needs prebuilt image analysis without training a custom model. Which Azure product family should the developer start with?

What is the role of a pipeline in Azure Machine Learning?

Which description best matches a large language model in a generative AI system?

A call-center application needs to convert spoken audio into text transcripts for search and analysis. Which Azure service should it use?

An AI system handles sensitive customer data. Which design choice supports security and privacy?

A model separates customers into groups based on similar behavior without using predefined labels. Which algorithm type is used?

You are viewing today’s free 10. Unlock 210 more questions.

Build your practice session

Set your target once.

Customize your session

Unlock the full AI-901 bank. No ads.

7-day score keeper

Keep today’s practice moving

Answer choices

Correct answer

Wrong-answer review

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

Answer choices

Correct answer

How are AI-901 questions generated?

How are explanations sourced?

What score do I get?

Why use this site?

Why use the app when available?