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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify the business value of generative AI solutions | 35–40% | - AI value identification
|
| Topic 2: Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35–40% | - Microsoft AI ecosystem
|
| Topic 3: Identify an implementation and adoption strategy for Microsoft AI apps and services | 20–25% | - AI adoption strategy
|
>> Test AB-731 Objectives Pdf <<
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NEW QUESTION # 68
You plan to meet with stakeholders to discuss how generative AI can benefit your company. You need to provide a relevant description of generative AI. Which description should you use?
Answer: D
Explanation:
Generative AI's defining capability is producing new content (text, images, code) in response to instructions-most commonly provided as natural language prompts. Option A best captures that general- purpose description for stakeholders: users ask questions or provide instructions, and the system generates responses or drafts content accordingly.
B is a specific application (translation) that generative AI can do, but it's not the defining description. C describes predictive analytics/forecasting, which is a different AI category. D describes recommendation systems, typically driven by user behavior and ranking algorithms, which can be enhanced by AI but is not the core definition of generative AI.
NEW QUESTION # 69
Which benefit of generative AI enables organizations to accelerate content creation across departments such as marketing, HR, and communications?
Answer: B
Explanation:
Generative AI can produce first drafts of emails, reports, job descriptions, and other business documents. This accelerates content creation and reduces manual effort across organizational functions.
Reference:
https://learn.microsoft.com/en-us/training/modules/build-effective-generative-ai-solutions- organization/1-introduction
NEW QUESTION # 70
Your company is building a portfolio of AI-powered business solutions.
Company executives want to understand how Microsoft responsible AI principles can support the company's long-term goals.
Which benefit best demonstrates the importance of responsible AI? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: D
Explanation:
Microsoft's Responsible AI principles serve as a strategic framework that aligns artificial intelligence development with a company's long-term business goals. By adhering to these principles, organizations can transform ethical guidelines into practical governance that supports sustainable growth.
Enhancing Stakeholder Trust
Responsible AI principles directly bolster stakeholder trust--a critical asset for long-term stability-- by ensuring transparency and accountability.
Transparency: Making AI operations and decisions understandable to users and stakeholders ensures people can see the "how" and "why" behind AI outputs.
Fairness and Inclusiveness: Treating all users equally and mitigating bias prevents discriminatory outcomes, protecting the organization's reputation.
Privacy and Security: Protecting user data through platform-level controls builds a foundation of safety that is essential for customer retention and regulatory compliance.
Reference:
https://www.preciofishbone.com/knowledge-hub/responsible-ai-in-the-ai-era-why-it-has-become-a-business-imperative
NEW QUESTION # 71
Your company wants to ensure that AI solutions are used responsibly and align with company values and compliance requirements.
You need to establish governance principles for AI use.
Which two actions should you perform? Select the two BEST answers. Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
To establish robust governance for AI, a company must define accountability norms that bridge the gap between business objectives and technical execution. Effective frameworks ensure that specific individuals-not just committees-are responsible for AI outcomes across the entire lifecycle.
Core Accountability Strategies
Establish Clear Ownership: Assign a specific person or team as the "accountable owner" for each AI application. This includes defining decision rights for who can approve, modify, or retire a system.
To establish an effective AI governance framework, you should implement a structured review process that translates high-level ethical principles into operational practice. This process serves as a "brake pedal" for the organization, ensuring innovation remains safe and aligned with corporate values.
Reference:
https://www.databricks.com/blog/ai-governance-best-practices-how-build-responsible-and- effective-ai-programs
NEW QUESTION # 72
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?
Answer: A
Explanation:
The correct answer is A. transparency. Transparency means users and stakeholders should understand when AI is being used, what the AI system can do, what its limitations are, and how important outputs or decisions were produced. In this scenario, applicants can request an explanation for why a loan application was denied.
That explanation capability makes the AI-assisted decision more understandable and reviewable, which directly supports transparency. Fairness is related to avoiding unjust bias or discriminatory outcomes. Privacy and security focus on protecting personal and organizational data. Inclusiveness focuses on ensuring AI systems work for people with different abilities, backgrounds, and experiences. Because the scenario is specifically about explaining a decision, the best answer is transparency.
NEW QUESTION # 73
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