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NEW QUESTION # 70
Your company uses a generative AI solution.
You need to improve the quality of responses by using grounding.
Which statement accurately describes how grounding improves accuracy and relevancy?
Answer: C
Explanation:
Grounding is a critical technique for improving the accuracy and relevance of generative AI solutions by linking or "anchoring" the large language model's (LLM) outputs to specific, verified, and up-to-date data sources. Without grounding, LLMs rely on their pre-trained, static, and often outdated knowledge, leading to "hallucinations"-confidently generated but incorrect, irrelevant, or fabricated information.
How Grounding Improves Accuracy and Relevance
Grounding transforms a general-purpose AI into a specialized, trustworthy, and actionable tool by providing the following benefits:
Reduces Hallucinations: By forcing the model to anchor its responses in provided data-such as internal documents, databases, or live web searches-grounding significantly reduces the likelihood of the model creating false information.
Enhances Contextual Relevance: Grounded models can access domain-specific, private data (e.g., CRM records, internal wikis, proprietary PDFs) rather than just public, general knowledge.
Ensures Data Freshness: Instead of relying on a static, old training cut-off date, grounding (often via Retrieval-Augmented Generation or RAG) enables the model to access the latest, real-time information, such as current inventory, updated policies, or recent news.
Provides Auditability and Trust: Grounded systems frequently provide citations or links to the exact source material used to generate the answer, allowing users to verify the information and increasing trust in the system.
Reference:
https://portkey.ai/blog/llm-grounding-for-accurate-outputs/
NEW QUESTION # 71
Your company manages a website that publishes daily news articles. You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles. What should you include in the recommendation?
Answer: C
Explanation:
The requirement is to analyze text and identify "people, locations, and companies" mentioned in news articles. This is a classic Named Entity Recognition (NER) / entity extraction scenario, which falls under natural language processing. Azure Language in Foundry Tools is the correct choice because it provides text analytics capabilities that detect and categorize entities in unstructured text-commonly including Person, Location, and Organization. This enables downstream experiences such as topic tagging, search filters (e.g.,
"all articles mentioning Company X"), trend dashboards (top people/places mentioned this week), and improved content discovery.
The other options do not match the requirement. Content Safety focuses on moderating harmful or policy- violating content (for example, hate, violence, self-harm, sexual content) and is not the primary tool for extracting named entities. Azure Vision is for analyzing images and performing OCR; it would only be relevant if the articles were images or scans, but the task here is entity extraction from text articles. Azure Speech is for speech-to-text, text-to-speech, and audio analysis; it would be used if your input were audio recordings rather than written articles.
Therefore, to identify key entities (people, locations, companies) from daily news article text, the best recommendation is Azure Language in Foundry Tools.
NEW QUESTION # 72
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 # 73
Your company is reviewing a new AI solution before deploying it. The company wants to ensure that the solution follows Microsoft responsible AI principles. What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: D
Explanation:
Following Microsoft's responsible AI principles--fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability--requires a structured, end-to-end testing approach to identify and mitigate bias. Testing to ensure fair and consistent outcomes involves auditing data, validating model performance across subgroups, and using specific technical tools.
Reference:
https://www.microsoft.com/en-us/research/blog/responsible-ai-the-research-collaboration-behind-new-open-source-tools-offered-by-microsoft
NEW QUESTION # 74
Your company is evaluating the use of Microsoft Copilot Studio to support business process automation and employee self-service. Which two capabilities are directly supported in Copilot Studio? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Microsoft Copilot Studio is built for creating and managing custom agents that handle employee self-service and business process automation. The two capabilities that align directly to this purpose are D and E .
D is correct because Copilot Studio lets you build agents that connect to enterprise data and systems and then perform actions on behalf of users. This is the foundation for automation and self-service: the agent can answer questions using connected knowledge sources and can also trigger workflows (for example, submitting a request, creating a ticket, checking status, or updating records) through connectors and actions.
These integrations allow the agent to move beyond "chat" into real operational outcomes, which is exactly what business process automation requires.
E is correct because Copilot Studio provides the controls needed to customize how an agent behaves and responds. This includes defining conversational topics/flows, setting instructions and guardrails, shaping tone and response style, configuring fallback behavior, and controlling how generative answers are produced (for example, using approved knowledge sources). Customization ensures the agent behaves consistently with company policies and provides reliable employee experiences.
The other choices represent different Microsoft products: A is aligned to security operations tooling (Security Copilot), B relates to information protection/governance (Purview), and C is a Microsoft 365 Copilot capability inside Word/PowerPoint rather than a Copilot Studio feature.
NEW QUESTION # 75
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