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NEW QUESTION # 89
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
The correct answer is establish a champions program for your company. A champions program helps scale AI adoption because it creates a network of motivated employees who learn AI capabilities, share practical examples, support peers, and identify meaningful use cases within their departments. This is more effective than relying only on awareness campaigns or self-paced courses because champions create continuous peer-led adoption and practical reinforcement. Performance metrics are useful for measuring adoption, but metrics alone do not build confidence or capability. A champions program supports change management by turning early adopters into local advocates who can demonstrate value in real workflows, reduce resistance, gather feedback, and help employees understand how AI tools apply to their daily work.
NEW QUESTION # 90
You have a large language model (LLM) that was pretrained by using public data.
You want the LLM to generate responses that incorporate frequently updated proprietary content, such as internal documents and knowledge bases.
You need to recommend a solution to ensure that the LLM uses the most current information without retraining the model.
What should you include in the recommendation?
Answer: D
Explanation:
Retrieval-Augmented Generation (RAG) is the optimal, industry-standard approach for incorporating frequently updated proprietary data into an LLM's output. It works by connecting a pre-trained LLM to an external, dynamic knowledge base--such as company documents--using vector databases to retrieve relevant context in real-time, reducing hallucinations and eliminating the need for constant, costly retraining.
Reference:
https://shiftasia.com/community/retrieval-augmented-generation-rag-a-comprehensive-guide-to-smarter-more-accurate-ai
NEW QUESTION # 91
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
The correct selections are Yes, Yes, Yes. Lack of trust is a common AI adoption barrier because users and leaders may worry about security, privacy, hallucinations, inaccurate outputs, and unclear accountability. If people do not trust the system, they will avoid using it or over-escalate decisions outside the intended workflow. AI adoption also fails when organizations overlook high-quality data.
Poor, outdated, incomplete, or poorly governed data weakens grounding, reduces output quality, and damages user confidence. Finally, adoption is strongest when business and compliance stakeholders are involved early. Business stakeholders ensure the solution solves real problems and delivers measurable value, while compliance, legal, risk, and privacy teams ensure the solution aligns with policy and regulatory obligations.
NEW QUESTION # 92
What is a key feature of Microsoft 365 Copilot that aligns with the Microsoft responsible AI principles of transparency, reliability, and safety?
Answer: C
Explanation:
By using Retrieval-Augmented Generation (RAG), Microsoft 365 Copilot ensures that its responses are not just creative guesses, but are anchored in your specific organizational context-
-such as your emails, documents, and chats.
This "grounding" process is fundamental because it:
Reduces Hallucinations: It prioritizes your data over general internet knowledge.
Ensures Permissioning: It only accesses data the specific user already has the right to see.
Maintains Transparency: It typically provides citations so you can verify the source of the information.
Reference:
https://medium.com/@praneetsy/rag-in-microsoft-365-copilot-how-retrieval-makes-ai-business-aware-e77f8ee77c7c
NEW QUESTION # 93
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:
Explanation:
Box 1: Yes
Prompt engineering is the practice of designing, structuring, and refining text inputs given to a generative AI model. By providing explicit constraints, formatting parameters, and guidelines, it directly steers the model to yield highly accurate and relevant output.
Box 2: No
The part of the prompt that includes examples to demonstrate the desired output structure or style is called Examples (often referred to in context as few-shot examples or learning data). The Instruction is the specific task, command, or action you want the model to perform (e.g.,
"Summarize this document" or "Translate the text").
Box 3: Yes
The Context provides background data, domain-specific details, situational boundaries, or source documents (such as grounding data) that the model must reference or operate within to formulate a targeted and contextualized response.
NEW QUESTION # 94
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