Practice Questions

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Question 1

Which scenario is the best example of a generative AI workload?

A. Predicting tomorrow’s temperature based on historical data
B. Classifying emails as spam or not spam
C. Generating a product description from a short prompt
D. Detecting anomalies in server performance metrics

✅ Correct Answer: C

Explanation:
Generative AI models are designed to create new content, such as text, images, or code. Generating a product description is a content creation task, which is a core feature of generative AI.

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Question 2

What is a key characteristic that distinguishes generative AI models from traditional machine learning models?

A. They require labeled training data
B. They produce deterministic outputs
C. They generate new data similar to training data
D. They can only be used for classification tasks

✅ Correct Answer: C

Explanation:
Generative AI models learn patterns from data and generate new outputs that resemble the data they were trained on, rather than only predicting labels or numeric values.

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Question 3

What role does a prompt play when working with a generative AI model?

A. It retrains the model with new data
B. It defines how the model should generate a response
C. It validates the accuracy of the model
D. It encrypts the generated output

✅ Correct Answer: B

Explanation:
A prompt provides instructions or context that guide the model’s output. It does not retrain the model or affect its underlying parameters.

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Question 4

Why can the same prompt sometimes produce different responses from a generative AI model?

A. The model uses rule-based logic
B. The model is deterministic
C. The model generates probabilistic outputs
D. The training data changes after each request

✅ Correct Answer: C

Explanation:
Generative AI models use probabilistic methods, meaning they select likely next outputs rather than fixed responses, which can result in variation.

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Question 5

Which feature enables a generative AI model to produce human-like text responses?

A. Feature engineering
B. Context awareness and large-scale pretraining
C. Manual rule definition
D. Binary classification

✅ Correct Answer: B

Explanation:
Generative AI models are pretrained on massive datasets and use context to generate fluent, coherent, human-like responses.

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Question 6

Which statement best describes the training approach used by most generative AI models?

A. They are trained only on small, task-specific datasets
B. They are pretrained on large datasets and adapted for many tasks
C. They require real-time retraining for each request
D. They are trained exclusively using reinforcement learning

✅ Correct Answer: B

Explanation:
Generative AI models are typically large pretrained models that can perform multiple tasks without retraining.

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Question 7

Which scenario would most likely require the use of a generative AI model?

A. Predicting customer churn
B. Assigning product categories
C. Writing a summary of a long document
D. Detecting fraudulent transactions

✅ Correct Answer: C

Explanation:
Summarization involves creating new text, which is a hallmark of generative AI workloads.

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Question 8

What is a common risk associated with generative AI models that requires responsible AI controls?

A. Overfitting to training data
B. Hallucinations and biased outputs
C. Low model accuracy
D. Inability to scale

✅ Correct Answer: B

Explanation:
Generative AI models can produce confident but incorrect information or biased content, making responsible AI safeguards essential.

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Question 9

Which feature allows a generative AI model to continue a conversation in a meaningful way?

A. Feature scaling
B. Context retention
C. Label encoding
D. Data normalization

✅ Correct Answer: B

Explanation:
Context retention enables generative AI models to understand previous inputs and generate coherent multi-turn conversations.

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Question 10

Which statement best describes the scope of tasks generative AI models can perform?

A. They are limited to a single predefined task
B. They can perform multiple tasks using the same model
C. They must be retrained for each task
D. They only work with numerical data

✅ Correct Answer: B

Explanation:
Generative AI models are general-purpose, capable of handling a wide variety of tasks such as summarization, translation, content generation, and question answering.

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Final Exam Tip 💡

If an AI-900 question mentions:

• Creating text, images, or code
• Prompts
• Conversations
• Human-like responses

👉 Think: Generative AI model

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