A data science team has developed a machine learning model that predicts equipment failures. The model performs well in testing, but the team is unsure how to deploy it so that maintenance crews can use it in the field. What should the team do first?

Retrain the model on more data before deployment.

Deploy the model to a production endpoint and integrate it with the maintenance workflow.

Define the deployment strategy, including how the model will be consumed by the maintenance application.

Create a REST API endpoint that accepts sensor data and returns failure predictions.

A company has a machine learning model that predicts inventory demand. The model is currently deployed and used by the supply chain team. The team wants to improve the model's accuracy by incorporating real-time sales data. Which approach best fits the ML lifecycle?

Retrain the model from scratch every day with the new data.

Manually update the model's parameters based on the new sales data.

Use a RAG system to retrieve real-time sales data and include it in the model's predictions.

Set up a continuous integration and deployment (CI/CD) pipeline that retrains the model periodically and deploys updates.

A company is deploying an AI system that automates responses to customer emails. The system has access to customer order history. What is a key security consideration to prevent unauthorized access to customer data?

Ensure the AI system is integrated with the company's identity provider for authentication.

Use a public AI service without any access controls.

Allow the AI system to access all customer data to improve responses.

Store customer data in a separate database without encryption.

A healthcare organization is deploying a generative AI assistant that handles patient intake messages. The assistant will access patient records and send responses to patients. Which security measure is most important to implement first?

Use a custom domain and TLS certificate for the assistant's endpoint.

Enable multi-factor authentication (MFA) for all users who can access the assistant's configuration and data.

Ensure the AI model is hosted on a private network with no internet access.

Implement role-based access control (RBAC) so the assistant only retrieves data that the current user is authorized to see.

A legal firm uses a generative AI system to draft contract clauses. The firm wants the AI to follow specific legal formats and include standard disclaimers. Which prompt engineering technique would be most effective?

Increase the model's temperature to make outputs more varied.

Use a generic prompt that works for any task.

Use a very short prompt to avoid confusing the model.

Provide a few examples of well-drafted clauses in the prompt.

Microsoft Certified:AI Transformation Leader

Domain 1Objective 2

Identify Benefits and Capabilities of Generative AI Solutions AB-731 Practice Questions (Page 9)

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 41–45

41application · medium
A data science team has developed a machine learning model that predicts equipment failures. The model performs well in testing, but the team is unsure how to deploy it so that maintenance crews can use it in the field. What should the team do first?
Select an answer first
42expert · hard
A company has a machine learning model that predicts inventory demand. The model is currently deployed and used by the supply chain team. The team wants to improve the model's accuracy by incorporating real-time sales data. Which approach best fits the ML lifecycle?
Select an answer first
43application · medium
A company is deploying an AI system that automates responses to customer emails. The system has access to customer order history. What is a key security consideration to prevent unauthorized access to customer data?
Select an answer first
44application · medium
A healthcare organization is deploying a generative AI assistant that handles patient intake messages. The assistant will access patient records and send responses to patients. Which security measure is most important to implement first?
Select an answer first
45application · medium
A legal firm uses a generative AI system to draft contract clauses. The firm wants the AI to follow specific legal formats and include standard disclaimers. Which prompt engineering technique would be most effective?
Select an answer first

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