A company wants to use a generative AI tool to analyze customer feedback that contains personal data. Which of the following is the most effective way to protect the sensitive data?

Use a model that is known to be 'safe' without any additional measures.

Submit the raw data to the AI tool and then delete the responses.

Anonymize or pseudonymize the data before submitting it to the AI tool.

Use a public AI tool and hope the data is not misused.

What is the primary risk associated with prompt injection attacks on a generative AI system?

The model may be manipulated into performing unintended actions or revealing sensitive information.

The model will always crash and become unavailable.

The model will permanently learn the malicious instructions.

The model may produce grammatically incorrect responses.

A marketing team uses a generative AI tool to draft customer emails and publishes them without any human review. What is the most significant risk of this practice?

The emails will be too short for the intended audience.

The emails may contain factual errors, biased language, or inappropriate content that goes unnoticed.

The AI tool will automatically stop working after a few uses.

The emails will be identical to those of competitors.

A financial services firm wants to use generative AI to analyze customer transaction data for fraud detection. The firm must comply with data protection regulations. What is the most appropriate way to use the AI while protecting customer data?

De-identify the transaction data before using the AI tool.

Use the AI tool only for non-sensitive data and manually review all transactions.

Use a public AI tool and rely on the provider's privacy policy.

Store the data in a different country to avoid regulations.

A company's internal chatbot is connected to a database of employee records. An attacker uses a prompt injection to make the chatbot reveal another employee's salary. The company wants to prevent this from happening again. Which combination of measures is most effective?

Log all chatbot interactions and review them monthly.

Disable the chatbot's ability to access the database entirely.

Implement input filtering and restrict the chatbot's database permissions to least privilege.

Use a larger AI model and increase the chatbot's response length.

Microsoft Certified:AI Business Professional

Domain 1Objective 2

Identify Responsible AI and Data Protection Practices AB-730 Practice Questions (Page 1)

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 1–5

1foundation · easy
A company wants to use a generative AI tool to analyze customer feedback that contains personal data. Which of the following is the most effective way to protect the sensitive data?
Select an answer first
2foundation · easy
What is the primary risk associated with prompt injection attacks on a generative AI system?
Select an answer first
3foundation · easy
A marketing team uses a generative AI tool to draft customer emails and publishes them without any human review. What is the most significant risk of this practice?
Select an answer first
4application · medium
A financial services firm wants to use generative AI to analyze customer transaction data for fraud detection. The firm must comply with data protection regulations. What is the most appropriate way to use the AI while protecting customer data?
Select an answer first
5expert · hard
A company's internal chatbot is connected to a database of employee records. An attacker uses a prompt injection to make the chatbot reveal another employee's salary. The company wants to prevent this from happening again. Which combination of measures is most effective?
Select an answer first

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