HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
Yes
Yes
Explanation: All three statements reflect common AI adoption principles: trust in security/accuracy affects adoption, high-quality data is essential, and cross-functional involvement including business and compliance stakeholders improves success.
Question 43
Your company uses a fine-tuned generative AI solution trained on data that is representative of the general population.
You discover that some of the generated responses include inappropriate or exclusionary language based on ableist assumptions.
You need to prevent the inappropriate responses. Your solution must minimize costs.
What should you do?
A. Apply a newer version of the generative AI model.
B. Apply a content-moderation filter.
C. Create a new version of the solution that is trained on only inclusive and representative content.
D. Create a new version of the solution that is trained on only exclusionary content.
Show Answer
Correct Answer: B
Explanation: A content-moderation filter is the lowest-cost mitigation to prevent harmful, exclusionary, or ableist outputs from reaching users. Retraining or creating a new model is more expensive, and simply upgrading the model does not guarantee elimination of the issue.
Question 44
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
Yes
Yes
Explanation: Poor-quality training data can increase development and retraining costs. AI models learn patterns and relationships from training data. Non-representative datasets can lead to biased, inaccurate, or unbalanced outputs.
Question 45
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
Yes
No
Explanation: Larger datasets generally increase storage and compute costs in Azure Machine Learning. Azure OpenAI usage is primarily billed by input/output tokens. Custom generative AI solution costs vary by model, version, deployment, and capability.
Question 46
Your company is developing an AI-powered customer support agent.
You need to ensure that the solution follows Microsoft responsible AI principles.
Which two actions should you perform? Select the two BEST answers. Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Retain all customer conversations.
B. Test the agent to ensure that responses are inclusive and culturally sensitive.
C. Enable the agent to operate independently.
D. Ensure that the agent can be used for multiple purposes.
E. Provide a clear disclaimer that users are interacting with an AI solution.
Show Answer
Correct Answer: B, E
Explanation: Microsoft Responsible AI principles include fairness/inclusiveness and transparency. Testing the agent for inclusive and culturally sensitive responses supports fairness and inclusiveness. Clearly informing users that they are interacting with an AI system supports transparency. Retaining all conversations is not required and may conflict with privacy principles, independent operation reduces appropriate human oversight, and multipurpose use is unrelated to responsible AI principles.
Question 47
What is considered a best practice when forming an AI adoption team in an enterprise environment?
A. Include primarily IT and project management staff initially to streamline deployment, adding governance and compliance roles later.
B. Include procurement and vendor management specialists early to evaluate AI tools, involving business teams once a platform is selected.
C. Include representatives from legal, leadership, and business units to align AI initiatives with organizational priorities.
D. Include only data scientists and engineers at first to validate technical feasibility, then add other stakeholders later.
Show Answer
Correct Answer: C
Explanation: Enterprise AI adoption is most effective with a cross-functional team from the outset. Including legal, executive leadership, and business unit representatives helps align AI initiatives with organizational strategy, governance, compliance, risk management, and business value, rather than focusing only on technical deployment.
Question 48
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
Yes
Yes
Explanation: All three statements describe widely recognized barriers to successful AI adoption: data and skills gaps, selecting technology before defining business use cases, and insufficient cross-functional collaboration.
Question 49
Your company is deploying Microsoft 365 Copilot. The deployment must provide users with access to the Researcher agent to search across data in Microsoft SharePoint.
You need to recommend a licensing plan for the solution.
What should you recommend?
A. a Microsoft 365 Copilot per-user add-on license
B. pay-as-you-go
C. a Microsoft 365 subscription entitlement
D. a usage-based consumption license in Azure
Show Answer
Correct Answer: A
Explanation: The Researcher agent is a built-in capability available to licensed Microsoft 365 Copilot users. It requires the Microsoft 365 Copilot per-user add-on license. Pay-as-you-go and Azure consumption licensing apply to metered scenarios, not entitlement to the built-in Researcher agent, and a base Microsoft 365 subscription alone does not include Microsoft 365 Copilot.
Question 50
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.
A. Allow each department to tailor governance processes for its own AI initiatives.
B. Define accountability norms for AI decisions across business and technical teams.
C. Create a process to review AI initiatives for responsible AI alignment.
D. Assign governance ownership primarily to the AI engineering and data science teams.
E. Focus governance efforts on AI systems that handle regulated or sensitive data.
Show Answer
Correct Answer: B, C
Explanation: Effective AI governance requires clear accountability across business and technical stakeholders and a formal review process to ensure AI initiatives align with responsible AI principles, company values, and compliance requirements. Department-specific governance leads to inconsistency, governance should not rest primarily with engineering teams alone, and governance should apply broadly rather than only to systems handling regulated or sensitive data.
Question 51
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?
A. fairness
B. privacy and security
C. transparency
D. inclusiveness
Show Answer
Correct Answer: C
Explanation: Providing applicants with an explanation of why an AI system denied their loan application is an example of the transparency principle. Transparency emphasizes making AI decisions understandable and explainable to affected users. No web search results were provided.
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