1
Microsoft Azure AI Fundamentals
(AI-900) - Advanced Practice
Exam 150 Multiple-Choice
Questions | Mixed Difficulty |
Comprehensive Coverage 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
Domain 1: Artificial Intelligence Workloads and Considerations (Questions 1-30)
Question 1
A retail company wants to predict future sales based on historical data, seasonality, and
promotional campaigns. Which type of AI workload is most appropriate?
A) Anomaly detection
B) Computer vision
C) Prediction/forecasting
D) Conversational AI
- detailed answer 100% correct :- C
Rationale: Prediction/forecasting workloads use historical data to predict future outcomes.
Sales forecasting based on historical data, seasonality, and promotions is a classic
prediction/forecasting scenario. Anomaly detection identifies outliers, computer vision analyzes
visual data, and conversational AI powers chatbots.
Question 2
An organization needs to identify unusual patterns in network traffic that may indicate a
security breach. Which AI workload should they implement?
A) Natural language processing
B) Anomaly detection
C) Image classification
D) Knowledge mining
- detailed answer 100% correct :- B
Rationale: Anomaly detection workloads are specifically designed to identify unusual patterns
or outliers in data that deviate from expected behavior. Network security breach detection is a
primary use case for anomaly detection.
Question 3
A hospital wants to build a system that analyzes chest X-ray images to detect potential
abnormalities. Which type of AI workload is required?
A) Natural language processing
B) Conversational AI
C) Computer vision
D) Knowledge mining
, 3
- detailed answer 100% correct :- C
Rationale: Computer vision workloads analyze visual data, including images and video, to
identify objects, faces, or scenes. Medical image analysis, such as detecting abnormalities in X-
rays, is a computer vision workload.
Question 4
A legal firm needs to extract key entities, relationships, and concepts from thousands of
contracts and legal documents. Which AI workload best addresses this need?
A) Computer vision
B) Anomaly detection
C) Knowledge mining
D) Prediction/forecasting
- detailed answer 100% correct :- C
Rationale: Knowledge mining workloads extract information from large volumes of
unstructured data to create searchable knowledge repositories. Extracting entities and
relationships from legal documents is a knowledge mining scenario.
Question 5
Which of the following is a core guiding principle for responsible AI as defined by Microsoft?
A) Profit maximization
B) Market dominance
C) Fairness
D) Code obfuscation
- detailed answer 100% correct :- C
Rationale: Microsoft defines six principles for responsible AI: fairness, reliability and safety,
privacy and security, inclusiveness, transparency, and accountability. Fairness ensures AI systems
treat all people equitably without bias.
Question 6
An AI-powered hiring tool is found to consistently recommend male candidates over equally
qualified female candidates. Which responsible AI principle is being violated?
A) Transparency
B) Fairness
C) Privacy and security
D) Accountability
, 4
- detailed answer 100% correct :- B
Rationale: Fairness in AI means that systems should treat all people equitably and not exhibit
bias or discrimination. A hiring tool that systematically favors one gender over another violates
the fairness principle.
Question 7
When deploying an AI system that makes decisions affecting people's lives, which responsible AI
principle ensures that the system's decision-making process can be explained and understood?
A) Reliability and safety
B) Inclusiveness
C) Transparency
D) Accountability
- detailed answer 100% correct :- C
Rationale: Transparency in AI means that the system's operations and decision-making
processes should be understandable and explainable. Users should know how and why
decisions are made.
Question 8
A healthcare AI system must perform consistently and avoid causing harm to patients. Which
responsible AI principle is most directly relevant?
A) Inclusiveness
B) Privacy and security
C) Reliability and safety
D) Fairness
- detailed answer 100% correct :- C
Rationale: Reliability and safety ensure that AI systems perform reliably, safely, and consistently
under all conditions. In healthcare applications, system reliability is critical to patient safety.
Question 9
A conversational AI system is designed to serve users in multiple languages and accommodate
users with disabilities. Which responsible AI principle does this address?
A) Accountability
B) Inclusiveness
C) Transparency
D) Privacy and security
Microsoft Azure AI Fundamentals
(AI-900) - Advanced Practice
Exam 150 Multiple-Choice
Questions | Mixed Difficulty |
Comprehensive Coverage 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
Domain 1: Artificial Intelligence Workloads and Considerations (Questions 1-30)
Question 1
A retail company wants to predict future sales based on historical data, seasonality, and
promotional campaigns. Which type of AI workload is most appropriate?
A) Anomaly detection
B) Computer vision
C) Prediction/forecasting
D) Conversational AI
- detailed answer 100% correct :- C
Rationale: Prediction/forecasting workloads use historical data to predict future outcomes.
Sales forecasting based on historical data, seasonality, and promotions is a classic
prediction/forecasting scenario. Anomaly detection identifies outliers, computer vision analyzes
visual data, and conversational AI powers chatbots.
Question 2
An organization needs to identify unusual patterns in network traffic that may indicate a
security breach. Which AI workload should they implement?
A) Natural language processing
B) Anomaly detection
C) Image classification
D) Knowledge mining
- detailed answer 100% correct :- B
Rationale: Anomaly detection workloads are specifically designed to identify unusual patterns
or outliers in data that deviate from expected behavior. Network security breach detection is a
primary use case for anomaly detection.
Question 3
A hospital wants to build a system that analyzes chest X-ray images to detect potential
abnormalities. Which type of AI workload is required?
A) Natural language processing
B) Conversational AI
C) Computer vision
D) Knowledge mining
, 3
- detailed answer 100% correct :- C
Rationale: Computer vision workloads analyze visual data, including images and video, to
identify objects, faces, or scenes. Medical image analysis, such as detecting abnormalities in X-
rays, is a computer vision workload.
Question 4
A legal firm needs to extract key entities, relationships, and concepts from thousands of
contracts and legal documents. Which AI workload best addresses this need?
A) Computer vision
B) Anomaly detection
C) Knowledge mining
D) Prediction/forecasting
- detailed answer 100% correct :- C
Rationale: Knowledge mining workloads extract information from large volumes of
unstructured data to create searchable knowledge repositories. Extracting entities and
relationships from legal documents is a knowledge mining scenario.
Question 5
Which of the following is a core guiding principle for responsible AI as defined by Microsoft?
A) Profit maximization
B) Market dominance
C) Fairness
D) Code obfuscation
- detailed answer 100% correct :- C
Rationale: Microsoft defines six principles for responsible AI: fairness, reliability and safety,
privacy and security, inclusiveness, transparency, and accountability. Fairness ensures AI systems
treat all people equitably without bias.
Question 6
An AI-powered hiring tool is found to consistently recommend male candidates over equally
qualified female candidates. Which responsible AI principle is being violated?
A) Transparency
B) Fairness
C) Privacy and security
D) Accountability
, 4
- detailed answer 100% correct :- B
Rationale: Fairness in AI means that systems should treat all people equitably and not exhibit
bias or discrimination. A hiring tool that systematically favors one gender over another violates
the fairness principle.
Question 7
When deploying an AI system that makes decisions affecting people's lives, which responsible AI
principle ensures that the system's decision-making process can be explained and understood?
A) Reliability and safety
B) Inclusiveness
C) Transparency
D) Accountability
- detailed answer 100% correct :- C
Rationale: Transparency in AI means that the system's operations and decision-making
processes should be understandable and explainable. Users should know how and why
decisions are made.
Question 8
A healthcare AI system must perform consistently and avoid causing harm to patients. Which
responsible AI principle is most directly relevant?
A) Inclusiveness
B) Privacy and security
C) Reliability and safety
D) Fairness
- detailed answer 100% correct :- C
Rationale: Reliability and safety ensure that AI systems perform reliably, safely, and consistently
under all conditions. In healthcare applications, system reliability is critical to patient safety.
Question 9
A conversational AI system is designed to serve users in multiple languages and accommodate
users with disabilities. Which responsible AI principle does this address?
A) Accountability
B) Inclusiveness
C) Transparency
D) Privacy and security