A manufacturing company wants to reduce equipment downtime by predicting failures before they occur. Which approach would provide the most significant business value?

Creating a manual checklist for operators to inspect equipment daily

Using machine learning to analyze sensor data and predict when equipment is likely to fail

Replacing all equipment with newer models

Scheduling maintenance at fixed intervals regardless of equipment condition

A team has built a machine learning model to detect fraudulent transactions. The model is currently in production and performs well, but the team wants to ensure it continues to perform well as fraud patterns change. What should the team implement?

A backup model that is used only when the primary model fails.

A monitoring system that tracks model performance metrics and alerts on drift.

A process to retrain the model every week regardless of performance.

A manual review of all transactions flagged by the model.

An e-commerce company is deploying a generative AI chatbot that handles customer inquiries and processes orders. The chatbot has access to customer accounts and payment information. What is a critical security consideration for this AI system?

Implement multi-factor authentication for customers accessing the chatbot.

Ensure the chatbot's responses are always grammatically correct.

Use a larger language model to improve response accuracy.

Allow the chatbot to access all customer data to provide better service.

A hospital wants to use machine learning to predict patient readmission risk within 30 days of discharge. The hospital has electronic health records (EHR) for thousands of patients. Which condition is most important for the ML model to be useful?

The model must be retrained daily to remain accurate.

The model must be trained on data from a single hospital to ensure consistency.

The model must be deployed on-premises to ensure data privacy.

The EHR data must include the specific features that are predictive of readmission, such as vital signs and prior admissions.

A government agency is deploying a generative AI assistant to help citizens fill out forms. The assistant will access personal data such as names, addresses, and social security numbers. The agency must comply with strict data privacy regulations and prevent unauthorized access. Which combination of measures is most appropriate?

Use a public cloud AI service and rely on the provider's security certifications.

Use a generic AI model and avoid storing any user data.

Deploy the AI model on-premises and disable all external network access.

Implement strong authentication, role-based access control, and encrypt all data in transit and at rest.

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Domain 1Objective 2

Identify Benefits and Capabilities of Generative AI Solutions AB-731 Practice Questions (Page 1)

Part of the Identify the business value of generative AI solutions domain, which accounts for 35–40% of the AB-731 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~7–12 in this domain), expect 4–6 from this objective — we provide 47 practice questions to prepare you well beyond it. (estimate)

47questions here

10free pages

9concepts

35–40%of the exam

Questions 1–5

1foundation · easy
A manufacturing company wants to reduce equipment downtime by predicting failures before they occur. Which approach would provide the most significant business value?
Select an answer first
2application · medium
A team has built a machine learning model to detect fraudulent transactions. The model is currently in production and performs well, but the team wants to ensure it continues to perform well as fraud patterns change. What should the team implement?
Select an answer first
3application · medium
An e-commerce company is deploying a generative AI chatbot that handles customer inquiries and processes orders. The chatbot has access to customer accounts and payment information. What is a critical security consideration for this AI system?
Select an answer first
4application · medium
A hospital wants to use machine learning to predict patient readmission risk within 30 days of discharge. The hospital has electronic health records (EHR) for thousands of patients. Which condition is most important for the ML model to be useful?
Select an answer first
5expert · hard
A government agency is deploying a generative AI assistant to help citizens fill out forms. The assistant will access personal data such as names, addresses, and social security numbers. The agency must comply with strict data privacy regulations and prevent unauthorized access. Which combination of measures is most appropriate?
Select an answer first

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