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NEW QUESTION # 23
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
Microsoft 365 Copilot is directly embedded within daily office productivity applications (such as Word, Excel, PowerPoint, Outlook, and Teams) to natively assist users in drafting text, summarizing long email threads, and analyzing data patterns.
Box 2: No
While Copilot Studio can be used to extend Microsoft 365 Copilot, it is not its exclusive purpose.
Copilot Studio is an independent low-code development platform that allows you to build completely standalone custom conversational bots, web chat agents, and automated voice response systems deployed to external websites, mobile apps, or Facebook Messenger.
Box 3: No
Automatically assigning data classification and sensitivity labels (such as "Confidential" or
"Public") to enterprise documents is the role of Microsoft Purview Information Protection.
Microsoft Security Copilot (now Copilot for Security) focuses instead on defensive cybersecurity operations, such as summarizing incident alerts, analyzing malicious scripts, and assisting security analysts with threat hunting.
NEW QUESTION # 24
- Select the answer that correctly completes the sentence.
A __________ AI solution recognizes patterns in large and complex datasets to create new and original content.
Answer:
Explanation:
Explanation:
generative
The sentence describes an AI system that creates new, original content (for example, text, images, audio, code) by learning patterns from large datasets. That is the defining characteristic of generative AI , so
"generative" is the correct completion.
To clarify the contrasts: predictive AI primarily uses historical data to forecast outcomes or estimate probabilities (for example, predicting next-quarter sales, predicting equipment failure, or classifying whether a transaction is fraudulent). It focuses on what is likely to happen or which category something belongs to , rather than producing novel content. Prescriptive AI goes a step further by recommending actions or decisions (for example, "increase inventory by X," "route tickets to team Y," "schedule maintenance next week") often using optimization and business constraints.
Generative AI, by comparison, is focused on content synthesis . It identifies statistical patterns and relationships in training data and then generates new sequences that resemble the learned distribution while being responsive to prompts. In business use cases, that translates to drafting emails and documents, summarizing reports, generating meeting notes, creating product descriptions, producing marketing copy, and building chat-based assistants. While all three categories can "recognize patterns," only generative AI is explicitly characterized by the ability to produce new and original content , which is what the question is testing.
NEW QUESTION # 25
Drag and Drop Question
Match the business scenario to the appropriate AI solution design approach.
To answer, drag the AI solution from the column on the left to its business scenario on the right.
Each solution may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Build with Microsoft Copilot Studio
The marketing department at your company wants AI to summarize emails and create presentations.
Building an AI solution to summarize emails and create presentations using Microsoft Copilot Studio involves creating custom AI agents that leverage your company's Microsoft 365 data (emails, documents) to automate these workflows. Copilot Studio allows you to create, test, and publish conversational agents that can be integrated into Microsoft Teams or directly into Office apps.
Box 2: Use Microsoft 365 Copilot
The HR department at your company wants a conversational agent for policy questions and leave request.
A company can use Microsoft 365 Copilot to create a conversational agent for policy questions and leave requests, primarily by leveraging Copilot Studio to customize agents with specific organizational data. These agents can function within Microsoft Teams, providing a self-service,
24/7 interface for employees.
Box 3: Build with Azure Machine Learning
The manufacturing department at your company wants AI to predict maintenance schedules.
Azure Machine Learning (Azure ML) is a powerful, cloud-based platform that helps companies shift from reactive or scheduled maintenance to predictive maintenance, which optimizes maintenance schedules based on actual equipment health.
By leveraging IoT sensors, historical data, and AI, Azure ML enables organizations to forecast equipment failures before they occur, reducing downtime and maintenance costs.
Box 4: Extend with Microsoft 365 Copilot connectors
The finance department at your company wants AI-powered access to enterprise resource planning (ERP) data by using familiar productivity tools You can extend Microsoft 365 Copilot with connectors to enable AI-powered access to enterprise resource planning (ERP) data directly within productivity tools like Outlook, Teams, and Excel.
This integration allows users to query, summarize, and act on data from systems such as SAP, Oracle, and Dynamics 365 without switching between applications.
Reference:
https://techcommunity.microsoft.com/blog/azurecommunicationservicesblog/build-your-ai-email- agent-with-microsoft-copilot-studio/4448724
https://adoption.microsoft.com/en-us/scenario-library/human-resources/leave-of-absence- compliance-agent
https://learn.microsoft.com/en-us/azure/documentdb/solutions-iot
https://www.mtlc.co/how-to-unlock-the-power-of-microsoft-365-copilot-connectors
NEW QUESTION # 26
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
Yes - Microsoft 365 Copilot can amplify existing data governance challenges.
Microsoft 365 Copilot significantly amplifies existing data governance, security, and compliance challenges within organizations, primarily because it operates by accessing data based on a user's existing permissions. If an organization has weak data hygiene or "permission sprawl"- where employees have access to more information than necessary-Copilot can instantly surface sensitive, confidential, or obsolete data, making oversharing a critical, high-speed risk.
Box 2: Yes
Yes - Implementing Microsoft 365 Copilot reduces data management costs.
Implementing Microsoft 365 Copilot can significantly reduce data management and operational costs by streamlining workflows, automating routine tasks, and improving data hygiene.
Organizations, such as Kantar, have used it to reduce storage costs by identifying and archiving inactive data while enhancing the relevance of information Copilot accesses.
Box 3: Yes
Yes - Microsoft 365 Copilot can help IT teams manage data risks.
Microsoft 365 Copilot includes built-in security, privacy, and compliance capabilities that empower IT teams to manage data risks, particularly by enforcing existing data access policies and integrating with Microsoft Purview. It ensures that Copilot only accesses data that a user is authorized to view based on their existing Microsoft 365 permissions, thereby preventing unauthorized data exposure.
Reference:
https://securiti.ai/copilot-governance-best-practices
https://techcommunity.microsoft.com/blog/microsoft_365blog/kantar-reduces-storage-costs-with- microsoft-365-archive/4494597
https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-ai-security
NEW QUESTION # 27
- Select the answer that correctly completes the sentence.
When you use Microsoft 365 Copilot connectors to connect external content to __________, your users can find, summarize, and learn from line-of-business (LOB) data by using natural language prompts.
Answer:
Explanation:
Explanation:
Microsoft Graph
Microsoft 365 Copilot connectors (built on Microsoft Graph connectors) are used to bring external, line-of- business content into the Microsoft 365 ecosystem by ingesting it into Microsoft Graph . Once connected, the content can be indexed and made discoverable through Microsoft Search and available for Copilot experiences, enabling users to use natural language prompts to find and summarize relevant LOB information-subject to permissions and governance controls.
The other choices don't match how Copilot connectors are positioned. Azure AI Search is an Azure indexing
/retrieval service used in custom RAG solutions, but Microsoft 365 Copilot connectors are specifically designed to surface external content through Microsoft 365 experiences via Graph. Microsoft Purview focuses on data governance, compliance, and risk management rather than being the primary ingestion target for Copilot connector content. SharePoint can store content, but the connector model is about indexing external systems into Microsoft Graph so the content becomes searchable and usable across Microsoft 365, not merely placing it into SharePoint as the destination.
So the correct completion is Microsoft Graph because that is the foundational data and indexing fabric Copilot uses to reason over organizational content with appropriate permission trimming.
NEW QUESTION # 28
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