Practice Questions

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Question 1

A company wants to automatically categorize uploaded photos as landscape, food, or people. The location of objects in the image is not required. Which computer vision solution should be used?

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

Correct Answer: C

Explanation:
Image classification assigns one or more labels to an entire image without identifying object locations.

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Question 2

Which output is typically returned by an image classification model?

A. Bounding boxes and coordinates
B. Pixel-level masks
C. Labels with confidence scores
D. Audio transcripts

Correct Answer: C

Explanation:
Image classification returns labels that describe the image, usually with confidence or probability scores.

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Question 3

Which scenario is the best fit for image classification?

A. Counting the number of people in an image
B. Identifying where objects appear in an image
C. Determining whether an image contains a cat or a dog
D. Tracking a moving object in a video

Correct Answer: C

Explanation:
Image classification is ideal when determining what is in the image, not where it appears.

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Question 4

Which Azure service allows you to train a custom image classification model using labeled images?

A. Azure AI Vision
B. Azure OpenAI
C. Azure AI Custom Vision
D. Azure Cognitive Search

Correct Answer: C

Explanation:
Azure AI Custom Vision enables training custom image classification models using user-provided labeled datasets.

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Question 5

What is a key difference between image classification and object detection?

A. Image classification requires training; object detection does not
B. Image classification identifies object locations
C. Object detection assigns labels only
D. Image classification analyzes the entire image

Correct Answer: D

Explanation:
Image classification evaluates the whole image and assigns labels, while object detection also locates objects using bounding boxes.

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Question 6

Which Azure service provides prebuilt image classification capabilities without requiring model training?

A. Azure AI Custom Vision
B. Azure AI Vision
C. Azure Machine Learning
D. Azure Blob Storage

Correct Answer: B

Explanation:
Azure AI Vision offers prebuilt computer vision models that can classify images without custom training.

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Question 7

An image classification solution returns a confidence score of 0.95 for the label Animal. What does this indicate?

A. The model has been retrained
B. The label is incorrect
C. The model is highly confident in the prediction
D. The image contains multiple objects

Correct Answer: C

Explanation:
Confidence scores indicate how certain the model is about its prediction.

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Question 8

Which requirement would make image classification insufficient as a solution?

A. Categorizing images by content
B. Identifying whether images contain people
C. Locating objects within an image
D. Tagging images with labels

Correct Answer: C

Explanation:
Image classification does not provide spatial location data. Object detection would be required instead.

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Question 9

Which type of machine learning model is most commonly used for image classification?

A. Decision trees
B. Linear regression
C. Convolutional neural networks
D. K-means clustering

Correct Answer: C

Explanation:
Convolutional neural networks (CNNs) are widely used for image classification due to their effectiveness with visual data.

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Question 10

Which phrase in an exam question is the strongest indicator that image classification is the correct solution?

A. “Identify and count objects”
B. “Detect faces and emotions”
C. “Assign a category to an image”
D. “Draw bounding boxes”

Correct Answer: C

Explanation:
Keywords such as classify, label, or categorize strongly indicate image classification.

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Final AI-900 Exam Reminders

• Image classification = labels, not locations
• Prebuilt models → Azure AI Vision
• Custom labels → Azure AI Custom Vision
• Watch for exam “traps” involving bounding boxes

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