Practice Exam Questions

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Question 1

A city wants to analyze traffic camera images to identify and count cars and bicycles. The solution must determine where each vehicle appears in the image. Which computer vision solution should be used?

A. Image classification
B. Image segmentation
C. Object detection
D. Facial recognition

Correct Answer: C

Explanation:
Object detection identifies objects and their locations using bounding boxes, making it ideal for counting and tracking vehicles.

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Question 2

Which output is characteristic of an object detection solution?

A. A single label for the entire image
B. Bounding boxes with labels and confidence scores
C. Pixel-level classification masks
D. Text extracted from images

Correct Answer: B

Explanation:
Object detection returns bounding boxes for detected objects, along with labels and confidence scores.

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Question 3

Which scenario best fits object detection rather than image classification?

A. Tagging photos as indoor or outdoor
B. Determining if an image contains a dog
C. Identifying the locations of multiple people in an image
D. Categorizing images by color theme

Correct Answer: C

Explanation:
Object detection is required when identifying and locating multiple objects within an image.

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Question 4

Which Azure service provides prebuilt object detection models without requiring custom training?

A. Azure Machine Learning
B. Azure AI Custom Vision
C. Azure AI Vision
D. Azure Cognitive Search

Correct Answer: C

Explanation:
Azure AI Vision offers prebuilt computer vision models, including object detection, that require no training.

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Question 5

What is the main difference between object detection and image segmentation?

A. Object detection identifies pixel-level boundaries
B. Image segmentation uses bounding boxes
C. Object detection locates objects using bounding boxes
D. Image segmentation does not use machine learning

Correct Answer: C

Explanation:
Object detection locates objects using bounding boxes, while segmentation classifies each pixel in the image.

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Question 6

Which requirement would make object detection the most appropriate solution?

A. Classifying images into predefined categories
B. Identifying precise pixel boundaries of objects
C. Locating and counting multiple objects in an image
D. Detecting sentiment in text

Correct Answer: C

Explanation:
Object detection is best when both identification and location of objects are required.

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Question 7

A team needs to detect custom manufacturing defects in images of products. Which Azure service should they use?

A. Azure AI Vision (prebuilt models)
B. Azure AI Custom Vision with object detection
C. Azure OpenAI
D. Azure Text Analytics

Correct Answer: B

Explanation:
Azure AI Custom Vision allows training custom object detection models using labeled images with bounding boxes.

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Question 8

Which phrase in an exam question most strongly indicates an object detection solution?

A. “Assign a label to the image”
B. “Extract text from the image”
C. “Identify and locate objects”
D. “Classify image sentiment”

Correct Answer: C

Explanation:
Keywords such as identify, locate, and bounding box clearly point to object detection.

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Question 9

An object detection model returns a confidence score for each detected object. What does this score represent?

A. The size of the object
B. The number of objects detected
C. The model’s certainty in the prediction
D. The training accuracy of the model

Correct Answer: C

Explanation:
Confidence scores indicate how certain the model is about each detected object.

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Question 10

Which statement correctly describes object detection solutions on Azure?

A. They only support single-object images
B. They cannot be used in real-time scenarios
C. They return labels and bounding boxes
D. They do not use machine learning models

Correct Answer: C

Explanation:
Object detection solutions return both object labels and bounding boxes and support real-time and batch scenarios.

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Final AI-900 Exam Pointers 🎯

• Object detection = what + where
• Look for counting, locating, bounding boxes
• Azure AI Vision = prebuilt detection
• Azure AI Custom Vision = custom detection models

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