How can data protection laws limit the results generated by an AI system?

They force the AI to always provide citations.

They require the AI to generate more creative responses.

They may restrict the use of certain data, such as personal data, in training or inference, which can affect the AI's outputs.

They have no effect on AI outputs.

A research team uses a generative AI tool to summarize academic papers. The team is preparing a literature review for a high-stakes publication. The AI tool sometimes generates citations that do not exist. The team wants to use the AI to save time but cannot risk including false citations. What is the best approach?

Use the AI only for summaries and manually create the reference list.

Use the AI-generated summaries and citations without verification because the AI is generally reliable.

Avoid using AI altogether and write the literature review manually.

Use the AI to generate summaries but verify every citation against the original papers.

An employee pastes a list of customer email addresses into a public generative AI chatbot to help draft a marketing message. What is the primary risk of this action?

The chatbot will send emails to the customers automatically.

The chatbot may use the email addresses to train its model.

The chatbot will delete the email addresses from the system.

The email addresses could be exposed to the AI provider or other users, leading to a data breach.

A journalist uses a generative AI tool to help write an article about a recent scientific study. The AI generates a quote that appears to be from the study's lead author. What should the journalist do before including the quote?

Search for the quote in the original study or contact the author to verify it.

Include the quote because the AI tool is known for accuracy.

Ask the AI tool to provide a source for the quote.

Paraphrase the quote instead of using it directly.

Microsoft Certified:AI Business Professional

Domain 1Objective 2

Identify Responsible AI and Data Protection Practices AB-730 Practice Questions (Page 3)

Part of the Understand generative AI fundamentals domain, which accounts for 25–30% of the AB-730 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~5–9 in this domain), expect 3–5 from this objective — we provide 44 practice questions to prepare you well beyond it. (estimate)

44questions here

9free pages

7concepts

25–30%of the exam

Questions 11–15

11foundation · easy
How can data protection laws limit the results generated by an AI system?
Select an answer first
12expert · hard
A research team uses a generative AI tool to summarize academic papers. The team is preparing a literature review for a high-stakes publication. The AI tool sometimes generates citations that do not exist. The team wants to use the AI to save time but cannot risk including false citations. What is the best approach?
Select an answer first
13foundation · easy
An employee pastes a list of customer email addresses into a public generative AI chatbot to help draft a marketing message. What is the primary risk of this action?
Select an answer first
14application · medium
A journalist uses a generative AI tool to help write an article about a recent scientific study. The AI generates a quote that appears to be from the study's lead author. What should the journalist do before including the quote?
Select an answer first
15foundation · easy
A generative AI chatbot provides a detailed answer that includes a specific statistic and a citation to a well-known research report. Upon checking the cited report, you find the statistic does not appear anywhere in it. What does this scenario best illustrate?
Select an answer first

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Identify Responsible AI and Data Protection Practices AB-730 Practice Questions (Page 3)

Questions 11–15

How can data protection laws limit the results generated by an AI system?

An employee pastes a list of customer email addresses into a public generative AI chatbot to help draft a marketing message. What is the primary risk of this action?

A journalist uses a generative AI tool to help write an article about a recent scientific study. The AI generates a quote that appears to be from the study's lead author. What should the journalist do before including the quote?

A generative AI chatbot provides a detailed answer that includes a specific statistic and a citation to a well-known research report. Upon checking the cited report, you find the statistic does not appear anywhere in it. What does this scenario best illustrate?

Keep studying — Understand generative AI fundamentals