A startup wants to integrate a generative AI assistant into their mobile app. They expect low usage initially but want to scale quickly if the app becomes popular. They are concerned about unpredictable costs. Which pricing model is most suitable?

A free tier that includes unlimited tokens.

A one-time license fee for the AI model.

A reserved capacity plan with a fixed monthly fee for a set number of tokens.

Pay-as-you-go token-based pricing, which scales with usage and requires no upfront commitment.

A news organization wants to use generative AI to write articles on local events. They are concerned about the model producing biased content. What is the most effective way to address this?

Fine-tune the model on a curated dataset of unbiased articles.

Use a pretrained model with a diverse set of prompts to generate articles.

Rely on the model's built-in safety filters to remove biased content.

Use a traditional AI model that classifies articles by topic.

A marketing agency wants to generate social media posts that match a specific brand voice. They have a small dataset of approved posts and need the model to consistently follow the brand's style. They also have a limited budget and cannot afford extensive custom training. Which approach is most appropriate?

Build a custom model from scratch using the small dataset.

Use a traditional AI model to classify which posts are on-brand and then reuse them.

Use a pretrained model with carefully crafted prompts that include examples of the brand's tone.

Fine-tune a pretrained model on the small dataset of approved posts.

A customer support organization receives thousands of similar inquiries daily. They want to reduce response time and allow human agents to focus on complex issues. Which generative AI solution best addresses this need?

Use a pretrained model to generate responses only for new, never-seen inquiry types.

Use a traditional AI model to automatically categorize and prioritize tickets without generating responses.

Deploy a chatbot that generates draft responses for common inquiries, which agents can review and send.

Implement a generative AI model that automatically sends responses to all inquiries without human review.

A human resources department wants to use generative AI to screen resumes and rank candidates. They are concerned about bias against certain demographic groups. What is the most important action to take?

Use a pretrained model that is known to be unbiased.

Use a traditional AI model instead, which is guaranteed to be unbiased.

Regularly audit the AI's decisions for bias and adjust the prompts or data accordingly.

Remove all demographic information from resumes before processing.

Microsoft Certified:AI Transformation Leader

Domain 1Objective 1

Identify the Foundational Concepts of Generative AI AB-731 Practice Questions (Page 4)

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 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

6concepts

35–40%of the exam

Questions 16–20

16application · medium
A startup wants to integrate a generative AI assistant into their mobile app. They expect low usage initially but want to scale quickly if the app becomes popular. They are concerned about unpredictable costs. Which pricing model is most suitable?
Select an answer first
17application · medium
A news organization wants to use generative AI to write articles on local events. They are concerned about the model producing biased content. What is the most effective way to address this?
Select an answer first
18application · medium
A marketing agency wants to generate social media posts that match a specific brand voice. They have a small dataset of approved posts and need the model to consistently follow the brand's style. They also have a limited budget and cannot afford extensive custom training. Which approach is most appropriate?
Select an answer first
19application · medium
A customer support organization receives thousands of similar inquiries daily. They want to reduce response time and allow human agents to focus on complex issues. Which generative AI solution best addresses this need?
Select an answer first
20application · medium
A human resources department wants to use generative AI to screen resumes and rank candidates. They are concerned about bias against certain demographic groups. What is the most important action to take?
Select an answer first

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