A university is developing an AI system to screen student applications. The admissions office is concerned that the system might inadvertently disadvantage applicants from certain regions. What should the university do to ensure fairness?

Remove demographic information from the application data before training the model.

Test the system's outcomes across different applicant groups and adjust the model if disparities are found.

Publish the model's accuracy metrics overall to show it is fair.

Use a random selection process for admissions to avoid any bias.

A government agency is developing an AI system to provide citizens with information about social services. The agency wants to ensure the system is inclusive and accessible to all citizens, including those with disabilities and limited digital literacy. What should the agency do?

Provide the system only through a mobile app to reach more people.

Make the system available in multiple languages and rely on automated translation.

Involve diverse user groups, including people with disabilities, in the design and testing of the system.

Use a large language model that is known to perform well across many languages.

An online education platform uses an AI system to recommend courses to learners. The system has been found to recommend fewer advanced courses to women than to men with similar qualifications. What should the platform do to address this fairness issue?

Adjust the recommendation algorithm to ensure equal recommendation rates across genders for similar qualifications.

Remove gender data from the training dataset and assume the problem is solved.

Ignore the finding because the system is based on historical data.

Add more advanced courses to the platform to increase overall recommendations.

What is the purpose of establishing accountability mechanisms for AI?

To assign responsibility for AI outcomes and ensure there are processes to address harms.

To ensure AI systems are never questioned by users.

To shift blame to the AI system itself when errors occur.

To automate all decision-making without human involvement.

Which security measure is important for AI systems that handle sensitive data?

Encrypting data both at rest and in transit.

Disabling security updates to avoid system changes.

Using open Wi-Fi networks for data transfer.

Storing passwords in plain text for easy access.

Microsoft Certified:AI Transformation Leader

Domain 3Objective 1

Align an AI Strategy with Microsoft Responsible AI Policies AB-731 Practice Questions (Page 2)

Part of the Identify an implementation and adoption strategy for Microsoft’s AI apps and services domain, which accounts for 20–25% of the AB-731 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~4–8 in this domain), expect 2–4 from this objective — we provide 51 practice questions to prepare you well beyond it. (estimate)

51questions here

11free pages

9concepts

20–25%of the exam

Questions 6–10

6application · medium
A university is developing an AI system to screen student applications. The admissions office is concerned that the system might inadvertently disadvantage applicants from certain regions. What should the university do to ensure fairness?
Select an answer first
7application · medium
A government agency is developing an AI system to provide citizens with information about social services. The agency wants to ensure the system is inclusive and accessible to all citizens, including those with disabilities and limited digital literacy. What should the agency do?
Select an answer first
8application · medium
An online education platform uses an AI system to recommend courses to learners. The system has been found to recommend fewer advanced courses to women than to men with similar qualifications. What should the platform do to address this fairness issue?
Select an answer first
9foundation · easy
What is the purpose of establishing accountability mechanisms for AI?
Select an answer first
10foundation · easy
Which security measure is important for AI systems that handle sensitive data?
Select an answer first

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