Practice Questions

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Question 1

You want to build a solution that can write marketing emails based on a short prompt describing a product.
Which AI approach should you use?

A. Traditional rule-based AI
B. Predictive machine learning
C. Generative AI
D. Computer vision

✅ Correct Answer: C

Explanation:
The solution must create new text content based on prompts. This is a defining characteristic of generative AI, not prediction or rules.

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Question 2

A chatbot is required to answer open-ended customer questions using natural, conversational language.
Which scenario does this represent?

A. Sentiment analysis
B. Rule-based automation
C. Generative AI
D. Classification

✅ Correct Answer: C

Explanation:
Conversational assistants that generate dynamic responses are a common generative AI scenario. Rule-based chatbots would rely on predefined responses instead.

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Question 3

You need a system that summarizes long legal documents into short executive summaries.
Which type of AI workload is this?

A. Predictive machine learning
B. Generative AI
C. Optical character recognition (OCR)
D. Entity recognition

✅ Correct Answer: B

Explanation:
Summarization involves creating new text that condenses original content, which makes this a generative AI workload.

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Question 4

Which task is most appropriate for a generative AI model?

A. Predicting house prices
B. Detecting objects in images
C. Translating text between languages
D. Classifying emails as spam

✅ Correct Answer: C

Explanation:
Translation requires generating new text in another language. The other options are predictive or computer vision tasks.

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Question 5

A developer wants to generate Python code from a natural language description of a task.
Which AI capability is being used?

A. Regression
B. Classification
C. Rule-based automation
D. Generative AI

✅ Correct Answer: D

Explanation:
Generating source code from prompts is a classic generative AI use case.

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Question 6

Which keyword in an exam question most strongly indicates a generative AI scenario?

A. Predict
B. Classify
C. Detect
D. Generate

✅ Correct Answer: D

Explanation:
Words like generate, create, write, and compose are strong indicators of generative AI scenarios on the AI-900 exam.

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Question 7

You need to build a solution that creates images based on a text description.
Which Azure service is most appropriate?

A. Azure AI Vision
B. Azure Machine Learning
C. Azure OpenAI Service
D. Azure AI Language

✅ Correct Answer: C

Explanation:
Azure OpenAI Service is the primary Azure service for generative AI workloads, including text and image generation.

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Question 8

Which scenario is NOT a generative AI use case?

A. Writing product descriptions
B. Creating an AI-powered tutor
C. Detecting faces in photos
D. Summarizing meeting notes

✅ Correct Answer: C

Explanation:
Face detection analyzes existing images and does not create new content. It is a computer vision task, not generative AI.

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Question 9

A company wants an AI system that rewrites customer emails to sound more polite and professional.
Which AI approach should be used?

A. Predictive machine learning
B. Traditional AI
C. Generative AI
D. Clustering

✅ Correct Answer: C

Explanation:
Rewriting or rephrasing text involves generating new text, which is a generative AI capability.

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Question 10

Which statement best describes generative AI?

A. It follows predefined business rules
B. It predicts numeric values
C. It groups similar data points
D. It creates new content based on learned patterns

✅ Correct Answer: D

Explanation:
Generative AI models are designed to create new outputs (text, images, code, audio) based on patterns learned from large datasets.

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Quick Exam Tip

If the question asks:

• “Will the AI create something new?” → Generative AI
• “Will the AI predict or label?” → Predictive ML
• “Will the AI follow strict rules?” → Traditional AI

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