1
Microsoft Azure AI Fundamentals
(AI-900) - Advanced Practice
Exam V2.0 150 Multiple-Choice
Questions | Mixed Difficulty |
Updated for May 2025 Skills
Measured a well detailed one
written and graded
A+ upgraded
Instructions
This practice exam contains 150 multiple-choice questions designed to test your knowledge of
Microsoft Azure AI Fundamentals (AI-900) at an advanced level. Questions range from
conceptual understanding to application-based and scenario-driven problems. Each question
has one correct answer only. Choose the best answer among the options provided.
, 2
Exam domains covered:
• Describe Artificial Intelligence workloads and considerations (15–20%)
• Describe fundamental principles of machine learning on Azure (15–20%)
• Describe features of computer vision workloads on Azure (15–20%)
• Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
• Describe features of generative AI workloads on Azure (15–20%)
Note: The English language version of this exam was updated on May 2, 2025. This practice
exam reflects the current skills measured.
Domain 1: Artificial Intelligence Workloads and Considerations (Questions 1-30)
Question 1
A hospital implements an AI system to assist radiologists in detecting early signs of lung cancer
from CT scans. The system occasionally produces false positives that require physician review.
Which responsible AI principle is most critical in this scenario?
A) Inclusiveness
B) Transparency
C) Reliability and safety
D) Privacy and security
- detailed answer 100% correct :- C
Rationale: Reliability and safety ensure AI systems perform consistently and safely. In healthcare
applications where patient health is at stake, the system must be reliable and safe even when
occasional errors occur. False positives in medical imaging could lead to unnecessary procedures
or patient anxiety if not properly managed.
Question 2
Which Azure service is primarily used for building, training, and deploying machine learning
models at scale?
A) Azure Cognitive Services
B) Azure Machine Learning
C) Azure Bot Service
D) Azure AI Foundry
, 3
- detailed answer 100% correct :- B
Rationale: Azure Machine Learning is a cloud-based service for building, training, and deploying
machine learning models at scale. It provides comprehensive tools for the entire machine
learning lifecycle.
Question 3
An e-commerce company uses AI to recommend products based on customer browsing and
purchase history. This is an example of which type of AI workload?
A) Computer vision
B) Natural language processing
C) Prediction/forecasting
D) Anomaly detection
- detailed answer 100% correct :- C
Rationale: Recommendation systems predict user preferences based on historical behavior,
making them a prediction/forecasting workload. The system forecasts which products a
customer is likely to be interested in.
Question 4
A financial institution wants to ensure its AI-driven credit approval system does not discriminate
against applicants based on gender or ethnicity. Which responsible AI principle is being
addressed?
A) Transparency
B) Accountability
C) Fairness
D) Privacy and security
- detailed answer 100% correct :- C
Rationale: Fairness ensures AI systems treat all people equitably without exhibiting bias or
discrimination. Credit approval systems must avoid bias based on protected characteristics.
Question 5
An organization implements a system that automatically extracts key information from
thousands of legal documents. Which AI workload best describes this solution?
A) Computer vision
B) Natural language processing
, 4
C) Knowledge mining
D) Anomaly detection
- detailed answer 100% correct :- C
Rationale: Knowledge mining extracts information from large volumes of unstructured data to
create searchable knowledge repositories. Extracting key information from legal documents is a
classic knowledge mining scenario.
Question 6
Which of the following is NOT one of Microsoft's six responsible AI principles?
A) Fairness
B) Inclusiveness
C) Profitability
D) Accountability
- detailed answer 100% correct :- C
Rationale: Microsoft's six responsible AI principles are fairness, reliability and safety, privacy and
security, inclusiveness, transparency, and accountability. Profitability is not a responsible AI
principle.
Question 7
A customer service chatbot must clearly inform users that they are interacting with an AI
system. This addresses which responsible AI principle?
A) Fairness
B) Transparency
C) Reliability and safety
D) Inclusiveness
- detailed answer 100% correct :- B
Rationale: Transparency requires that AI systems be open about their operations, including that
users are interacting with an AI. Users should know they are speaking with a bot, not a human.
Question 8
A manufacturing company uses AI to predict equipment failures before they occur. This is an
example of:
A) Computer vision
B) Natural language processing
Microsoft Azure AI Fundamentals
(AI-900) - Advanced Practice
Exam V2.0 150 Multiple-Choice
Questions | Mixed Difficulty |
Updated for May 2025 Skills
Measured a well detailed one
written and graded
A+ upgraded
Instructions
This practice exam contains 150 multiple-choice questions designed to test your knowledge of
Microsoft Azure AI Fundamentals (AI-900) at an advanced level. Questions range from
conceptual understanding to application-based and scenario-driven problems. Each question
has one correct answer only. Choose the best answer among the options provided.
, 2
Exam domains covered:
• Describe Artificial Intelligence workloads and considerations (15–20%)
• Describe fundamental principles of machine learning on Azure (15–20%)
• Describe features of computer vision workloads on Azure (15–20%)
• Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
• Describe features of generative AI workloads on Azure (15–20%)
Note: The English language version of this exam was updated on May 2, 2025. This practice
exam reflects the current skills measured.
Domain 1: Artificial Intelligence Workloads and Considerations (Questions 1-30)
Question 1
A hospital implements an AI system to assist radiologists in detecting early signs of lung cancer
from CT scans. The system occasionally produces false positives that require physician review.
Which responsible AI principle is most critical in this scenario?
A) Inclusiveness
B) Transparency
C) Reliability and safety
D) Privacy and security
- detailed answer 100% correct :- C
Rationale: Reliability and safety ensure AI systems perform consistently and safely. In healthcare
applications where patient health is at stake, the system must be reliable and safe even when
occasional errors occur. False positives in medical imaging could lead to unnecessary procedures
or patient anxiety if not properly managed.
Question 2
Which Azure service is primarily used for building, training, and deploying machine learning
models at scale?
A) Azure Cognitive Services
B) Azure Machine Learning
C) Azure Bot Service
D) Azure AI Foundry
, 3
- detailed answer 100% correct :- B
Rationale: Azure Machine Learning is a cloud-based service for building, training, and deploying
machine learning models at scale. It provides comprehensive tools for the entire machine
learning lifecycle.
Question 3
An e-commerce company uses AI to recommend products based on customer browsing and
purchase history. This is an example of which type of AI workload?
A) Computer vision
B) Natural language processing
C) Prediction/forecasting
D) Anomaly detection
- detailed answer 100% correct :- C
Rationale: Recommendation systems predict user preferences based on historical behavior,
making them a prediction/forecasting workload. The system forecasts which products a
customer is likely to be interested in.
Question 4
A financial institution wants to ensure its AI-driven credit approval system does not discriminate
against applicants based on gender or ethnicity. Which responsible AI principle is being
addressed?
A) Transparency
B) Accountability
C) Fairness
D) Privacy and security
- detailed answer 100% correct :- C
Rationale: Fairness ensures AI systems treat all people equitably without exhibiting bias or
discrimination. Credit approval systems must avoid bias based on protected characteristics.
Question 5
An organization implements a system that automatically extracts key information from
thousands of legal documents. Which AI workload best describes this solution?
A) Computer vision
B) Natural language processing
, 4
C) Knowledge mining
D) Anomaly detection
- detailed answer 100% correct :- C
Rationale: Knowledge mining extracts information from large volumes of unstructured data to
create searchable knowledge repositories. Extracting key information from legal documents is a
classic knowledge mining scenario.
Question 6
Which of the following is NOT one of Microsoft's six responsible AI principles?
A) Fairness
B) Inclusiveness
C) Profitability
D) Accountability
- detailed answer 100% correct :- C
Rationale: Microsoft's six responsible AI principles are fairness, reliability and safety, privacy and
security, inclusiveness, transparency, and accountability. Profitability is not a responsible AI
principle.
Question 7
A customer service chatbot must clearly inform users that they are interacting with an AI
system. This addresses which responsible AI principle?
A) Fairness
B) Transparency
C) Reliability and safety
D) Inclusiveness
- detailed answer 100% correct :- B
Rationale: Transparency requires that AI systems be open about their operations, including that
users are interacting with an AI. Users should know they are speaking with a bot, not a human.
Question 8
A manufacturing company uses AI to predict equipment failures before they occur. This is an
example of:
A) Computer vision
B) Natural language processing
