Practice Exam Questions

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Question 1

A company wants to detect whether human faces appear in uploaded images and draw bounding boxes around them. The solution must not identify individuals.

Which Azure service should be used?

A. Azure Custom Vision
B. Azure AI Vision image classification
C. Azure AI Face detection
D. Azure OpenAI Service

Correct Answer: C

Explanation:
Azure AI Face detection is designed to detect faces and return their locations without identifying individuals. This aligns with privacy requirements and AI-900 expectations.

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Question 2

Which task is supported by Azure AI Face detection?

A. Verifying a person’s identity against a database
B. Detecting the presence of human faces in an image
C. Training a custom facial recognition model
D. Authenticating users using facial biometrics

Correct Answer: B

Explanation:
Azure AI Face detection can detect faces and analyze facial attributes, but it does not perform identity verification or authentication.

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Question 3

What type of information can Azure AI Face detection return for each detected face?

A. Person’s name and ID
B. Bounding box and facial attributes
C. Social media profile matches
D. Voice and speech characteristics

Correct Answer: B

Explanation:
The service returns face location (bounding box) and facial attributes such as estimated age or expression, not personal identity data.

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Question 4

A scenario requires estimating whether people in an image appear to be smiling.

Which Azure AI Face detection capability supports this requirement?

A. Face identification
B. Facial attribute analysis
C. Image classification
D. Object detection

Correct Answer: B

Explanation:
Facial attribute analysis provides descriptive information such as facial expression, including whether a face appears to be smiling.

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Question 5

Which statement best describes Azure AI Face detection for the AI-900 exam?

A. It requires training a custom dataset
B. It identifies known individuals in photos
C. It uses prebuilt models to analyze faces
D. It can only analyze video streams

Correct Answer: C

Explanation:
Azure AI Face detection uses pretrained models and requires no custom training, which is a key exam concept.

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Question 6

A developer wants to count how many people appear in a group photo.

Which Azure AI service capability should be used?

A. OCR
B. Image tagging
C. Face detection
D. Image classification

Correct Answer: C

Explanation:
Face detection can identify multiple faces in a single image, making it suitable for counting people.

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Question 7

Why is Azure AI Face detection closely associated with Responsible AI principles?

A. It uses unsupervised learning
B. It processes sensitive human biometric data
C. It requires large datasets
D. It supports only public images

Correct Answer: B

Explanation:
Facial data is considered sensitive personal data, so privacy, fairness, and transparency are especially important.

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Question 8

Which scenario would be inappropriate for Azure AI Face detection?

A. Detecting faces in event photos
B. Estimating facial expressions
C. Identifying a person by name from an image
D. Drawing bounding boxes around faces

Correct Answer: C

Explanation:
Azure AI Face detection does not identify individuals. Identity recognition is outside the scope of AI-900 and restricted for ethical reasons.

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Question 9

Which principle ensures users are informed when facial analysis is being used?

A. Reliability
B. Transparency
C. Inclusiveness
D. Sustainability

Correct Answer: B

Explanation:
Transparency requires that people understand when and how AI systems, such as facial detection, are being used.

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Question 10

When comparing Azure AI Face detection with object detection, which statement is correct?

A. Object detection returns facial attributes
B. Face detection identifies any object in an image
C. Face detection focuses specifically on human faces
D. Both services identify individuals

Correct Answer: C

Explanation:
Face detection is specialized for human faces, while object detection identifies general objects like cars, animals, or furniture.

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Exam Tip Recap 🔑

• Face detection ≠ face recognition
• Detects faces, locations, and attributes
• Uses prebuilt models
• Strong ties to Responsible AI

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