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| Section | Weight | Objectives |
|---|---|---|
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35-40% | - Identify benefits and capabilities of Azure AI services
|
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20-25% | - Align an AI strategy with Microsoft responsible AI policies
|
| Identify the business value of generative AI solutions | 35-40% | - Identify the foundational concepts of generative AI
|
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NEW QUESTION # 66
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Prompt engineering changes how a generative AI model was trained. Answer: No
* Prompt engineering focuses on designing clear, concise, and context-rich instructions. Answer: Yes
* Effective prompt engineering involves maximizing the number of tokens used in each request. Answer:
No
* No - Prompt engineering does not modify model weights or retrain the model. It is an inference-time technique: you steer outputs by improving the instructions and context you send to the model. Changing how a model was trained would involve pretraining, fine-tuning, or other training methods-separate from prompt engineering.
* Yes - The primary goal of prompt engineering is to reduce ambiguity and variability by providing clear instructions, the right context, and explicit output constraints. This often includes specifying role and task, providing necessary facts or grounding text, defining format (bullets, JSON, headings), and adding examples (few-shot) when helpful. Well-constructed prompts improve consistency, relevance, and usefulness of outputs.
* No - Good prompt engineering does not mean "use as many tokens as possible." In fact, using unnecessary tokens can increase cost and may degrade quality by adding noise. Effective prompts are typically as short as possible but as long as necessary: enough context to achieve accuracy and alignment, but not bloated. Token discipline matters because most pricing is token-based and long contexts can dilute attention over what's most important.
NEW QUESTION # 67
Your company plans to use an AI-powered solution to analyze customer feedback for insights related to future product designs. You need to mitigate the privacy risks associated with the solution. What is the best approach to achieve the goal? Select the BEST answer.
Answer: A
Explanation:
The strongest privacy risk mitigation for analyzing customer feedback is to minimize personal data exposure while preserving the analytical value of the text. A is best because anonymizing (or de-identifying) the dataset removes direct identifiers (names, emails, phone numbers, addresses, account IDs) and reduces the likelihood of privacy breaches, unauthorized re-identification, or inadvertent leakage in model outputs. This aligns with privacy-by-design and the general principle of data minimization: only retain the information necessary for the business purpose.
B is usually impractical and undermines business value and auditability; organizations often need retention windows for validation, traceability, and improvement. C is not the best privacy mitigation: keeping data attributable to individuals increases privacy exposure; while deletion-on-request is important for compliance, it's not the primary mechanism to reduce privacy risk during analysis. D is explicitly poor practice; privacy reviews should occur throughout the lifecycle (requirements, design, data acquisition, testing, deployment, monitoring), not only at the end. Therefore, anonymizing/removing PII at the source is the best first-line approach.
NEW QUESTION # 68
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 69
A marketing team wants to automatically create product descriptions and campaign email drafts.
Which generative AI capability best meets this business need?
Answer: C
NEW QUESTION # 70
An organization wants to enhance employee productivity by using generative AI within tools such as Word, Excel, PowerPoint, Outlook, and Teams.
The solution must assist users by generating content, summarizing meetings, analyzing data, and drafting communications within their daily workflow.
Which solution should the organization implement?
Answer: D
Explanation:
Microsoft 365 Copilot embeds generative AI capabilities directly into Microsoft 365 applications, enabling users to generate content, summarize meetings, analyze spreadsheets, and draft communications within their daily productivity tools such as Word, Excel, PowerPoint, Outlook, and Teams.
References:
https://learn.microsoft.com/en-us/training/modules/business-value-microsoft-copilot-solutions/1- introduction?ns-enrollment-type=learningpath&ns-enrollment-id=learn.wwl.drive-value-generative- ai-solutions
https://www.microsoft.com/en-in/microsoft-365-copilot/in-apps-for-work#tabs-pill-bar-oc58d2_tab1
NEW QUESTION # 71
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