Try and practice the latest Microsoft : AB-731 real questions & answers

Hotspot Question
Select the answer that correctly completes the sentence.

Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied.
Which Microsoft responsible AI principle is this an example of?

• A. fairness
• B. privacy and security
• C. transparency
• D. inclusiveness

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An organisation is developing an AI system that will recommend candidates for internal promotions. During testing, the system produces accurate recommendations for most departments but consistently underperforms for the engineering department, where the workforce is more demographically diverse than other departments.
Which responsible AI standards are most directly relevant, and what action should the organisation take?

• A. Transparency only, by informing employees that the system has limitations
• B. Privacy and security only, by ensuring candidate data is encrypted
• C. Transparency and accountability only, by documenting the limitation
• D. Fairness, reliability, and inclusiveness, by auditing the training data for representation gaps, testing the system's performance across all demographic groups, and ensuring the system works equitably for the diverse engineering workforce before deployment

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An organization is exploring artificial intelligence solutions to automate content creation tasks such as drafting emails, generating marketing visuals, and producing software code suggestions.
Leadership wants to understand the core technology capability that enables these use cases.
Which of the following best describes generative AI?

• A. A system that only classifies existing data into predefined categories
• B. A technology that creates new content such as text, images, or code based on learned patterns
• C. A rules-based automation tool that follows fixed instructions
• D. A database system designed to store unstructured data

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

Explanation:
Box 1: No
No - Allowing AI models to make autonomous decisions support Microsoft AI principle of accountability.
Microsoft's principle of accountability actually mandates that humans, not AI models, remain the final authority for how a system operates. While AI can perform automated tasks, the accountability principle requires that the people who design and deploy these systems take responsibility for their impact and maintain meaningful control.
Box 2: Yes
Yes - Regularly testing AI models for fairness and inclusiveness helps ensure they align with Microsoft's Responsible AI principles.
Regularly testing AI models for fairness and inclusiveness is a foundational practice within Microsoft's Responsible AI Standard, which acts as a guide for developing and deploying AI systems. This continuous testing ensures that AI applications do not reinforce historical biases and perform equitably across different demographic groups, including race, gender, age, and background.
Box 3: Yes
Yes - Protecting user data and limiting access to personal information supports the Microsoft responsible AI principles of privacy and security.
Protecting user data and limiting access to personal information are, in fact, foundational to Microsoft's Responsible AI principles of Privacy and Security. Microsoft's AI framework mandates that AI systems are developed and deployed in a manner that respects user privacy and maintains strict data security, aiming for AI systems that are "secure by design".
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai
https://techcommunity.microsoft.com/blog/nonprofittechies/the-importance-of-responsible-ai-a-comprehensive-guide/4404347