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AB-731 Exam Practice Questions

AI Transformation Leader

AB-731 English PDF practice questions: 100 questions in source order, with options supported by the source format, answers and available explanations. Access covers this exam only. One-time payment; no automatic renewal.

Exam overview

For leaders identifying AI opportunities, planning adoption, improving workflows and guiding organizational change.

Exam code
AB-731
Official exam / credential
AI Transformation Leader
Exam format
Proctored assessment; interactive items may be included
Exam duration
45 minutes
Official exam languages
English, Arabic (Saudi Arabia), Simplified Chinese, Traditional Chinese, French, German, Indonesian, Italian, Korean, Japanese, Portuguese (Brazil), Russian, Spanish

Official exam languages and practice-question file languages are listed separately. Confirm the exam version and available languages when booking with the provider.

Official sources: Provider reference
Information checked: 2026-10-20

Supported languages

  • English
  • Simplified Chinese
Try before you buy

First 20 practice questions

100 total questions

Questions follow the source order. Expand each answer to see its explanation.

Disclaimer: All questions on ExamPico are compiled from internet sources and are provided for study reference only.

Question 16

Question#16Topic1

You plan to meet with a group of stakeholders to discuss how generative AI can benefit your company.
You need to provide the stakeholders with a relevant description of generative AI during the meeting.
Which description should you use?

  1. A. Generative AI is designed to generate responses based on a user’s natural language prompts.
  2. B. Generative AI is designed to translate documents into other languages.
  3. C. Generative AI is designed to predict future trends based on historical data.
  4. D. Generative AI is designed to recommend products based on user behavior.
Show answer and explanation

Answer

A

Explanation

Generative AI produces new responses or content from natural language prompts.

Question 17

Question#17Topic1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Question illustration

Show answer

Answer

NYY

Question 18

Question#18Topic1

Which statement accurately describes the difference between a pretrained generative AI model and a fine-tuned generative AI model?

  1. A. A pretrained model requires labeled data, while a fine-tuned model does not.
  2. B. A pretrained model is faster to train than a fine-tuned model because the pretrained model uses fewer parameters.
  3. C. A pretrained model is trained on broad datasets, while a fine-tuned model is adapted to perform well on a narrower, domain-specific dataset.
  4. D. A pretrained model is optimized for a specific task, while a fine-tuned model is designed for general-purpose use.
Show answer and explanation

Answer

C

Explanation

A pretrained model is trained on broad datasets, while a fine-tuned model is adapted for a narrower, domain-specific use case.

Question 19

Question#19Topic1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Question illustration

Show answer

Answer

NYY

Question 20

Question#20Topic1

HOTSPOT
-

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Question illustration

Show answer

Answer

YYY

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