A company is building a generative AI chatbot to answer employee questions about internal HR policies. The model was trained on general internet data and often gives incorrect or outdated policy information. Which business need is most directly addressed by implementing a grounding solution?

Eliminating the need for human review of AI outputs

Ensuring the model's responses are based on current, internal, and authoritative sources

Increasing the model's maximum token output

Reducing the model's inference latency

A financial services firm wants to use a generative AI model to assist advisors with regulatory compliance questions. The model must provide answers that reflect the latest regulations and the firm's internal policies. Which business requirement is most important for this use case?

Grounding the model with current regulatory documents and internal compliance guidelines

Reducing the model's training time to deploy faster

Maximizing the model's creativity to generate novel responses

Ensuring the model runs on the firm's own hardware

In the machine learning solution lifecycle, what is the primary purpose of the model evaluation stage?

To assess the model's performance on validation or test data before deployment

To collect more training data from the production environment

To deploy the model to a production environment

To monitor the model's performance in real-time

A company is building an AI system that generates code from natural language descriptions. Developers will use this system to accelerate development. Which security measure is essential to prevent the AI from generating code that introduces vulnerabilities?

Use a model with a larger parameter count.

Train the model on a dataset of secure code examples.

Restrict the AI system to only generate code for internal tools.

Implement a code review process that includes security scanning of AI-generated code.

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Domain 1Objective 2

Identify Benefits and Capabilities of Generative AI Solutions AB-731 Practice Questions (Page 3)

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 11–15

11foundation · easy
A company is building a generative AI chatbot to answer employee questions about internal HR policies. The model was trained on general internet data and often gives incorrect or outdated policy information. Which business need is most directly addressed by implementing a grounding solution?
Select an answer first
12foundation · easy
A developer wants to teach a generative AI model a specific output format by providing a few examples in the prompt. Which prompt engineering technique is the developer using?
Select an answer first
13foundation · easy
A financial services firm wants to use a generative AI model to assist advisors with regulatory compliance questions. The model must provide answers that reflect the latest regulations and the firm's internal policies. Which business requirement is most important for this use case?
Select an answer first
14foundation · easy
In the machine learning solution lifecycle, what is the primary purpose of the model evaluation stage?
Select an answer first
15application · medium
A company is building an AI system that generates code from natural language descriptions. Developers will use this system to accelerate development. Which security measure is essential to prevent the AI from generating code that introduces vulnerabilities?
Select an answer first

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