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| Section | Weight | Objectives |
|---|---|---|
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35–40% | - Microsoft 365 Copilot features and use cases - Aligning Microsoft AI tools to business requirements - Azure AI services and Azure AI Foundry tools - Microsoft Copilot Studio capabilities |
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20–25% | - Organizational readiness and change management - Measuring success and continuous improvement - Adoption planning and scaling AI solutions - Responsible AI principles and governance |
| Identify the business value of generative AI solutions | 35–40% | - Differences between generative AI and other AI types - Business benefits, ROI, and efficiency gains - Foundational concepts of generative AI - Selecting generative AI solutions for business needs |
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NEW QUESTION # 12
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
* Microsoft 365 Copilot helps users create and analyze content in Microsoft 365 apps. Answer: Yes
* Microsoft Copilot Studio can only be used to customize Microsoft 365 Copilot. Answer: No
* Microsoft Security Copilot uses AI to assign sensitivity labels to documents. Answer: No
* Yes - Microsoft 365 Copilot is built into Microsoft 365 apps (such as Word, Excel, PowerPoint, Outlook, and Teams) to help users draft, summarize, rewrite, and analyze work content. This includes creating documents and presentations, summarizing emails and meetings, and analyzing information in productivity workflows. That is its primary value proposition, so the statement is true.
* No - Copilot Studio is not limited to customizing Microsoft 365 Copilot. It is used to build and manage agents (conversational experiences) and extend Copilot experiences by connecting to data and actions, creating custom topics/behaviors, and integrating business processes. While it can be used to extend Microsoft 365 Copilot (for example, via declarative agents and other extensibility paths), it is broader than "only customizing Microsoft 365 Copilot," so the statement is false.
* No - Assigning sensitivity labels to documents is primarily a Microsoft Purview Information Protection capability (manual labeling, default labeling, auto-labeling) rather than a core function of Microsoft Security Copilot. Security Copilot is focused on security operations (incident investigation, threat hunting, response guidance). Although AI can support security workflows, the specific act of assigning sensitivity labels to documents is not what Security Copilot is designed to do by default, making the statement false.
NEW QUESTION # 13
Your company plans to adopt AI across multiple business units.
You need to ensure that all AI projects align with the company's business strategy and are implemented responsibly.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: D
NEW QUESTION # 14
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: D
Explanation:
Azure Language in Foundry Tools can analyze text and identify main entities, including people, locations, and companies. This capability is officially known as Named Entity Recognition (NER).
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/language
NEW QUESTION # 15
- 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
* To use Microsoft 365 Copilot Chat, you must have a Microsoft 365 Copilot license. Answer: No
* Microsoft 365 Copilot Chat provides context-aware assistance in Microsoft 365 apps. Answer: Yes
* Microsoft 365 Copilot Chat can only access information in open files and read emails. Answer: No
* No - Microsoft documents and pricing guidance indicate that Copilot Chat is available for eligible Microsoft Entra ID users with a qualifying Microsoft 365 subscription , and that capabilities can vary depending on whether users also have the Microsoft 365 Copilot add-on . In other words, Copilot Chat isn't universally "Copilot-license required" in all cases; the add-on impacts which premium work features are enabled, but the baseline chat experience can be available without assigning the add-on to every user.
* Yes - Microsoft describes Copilot Chat as a side-by-side experience in select Microsoft 365 apps (for example Word, Excel, PowerPoint, OneNote, Outlook) that is aware of the user's open content , enabling context-aware help such as summarizing, drafting, and Q & A based on what the user is working on.
* No - The word only makes this statement inaccurate. Copilot Chat can be grounded in more than just open files and emails (for example, it can also be grounded in the web, and-depending on licensing and configuration-can use agents/connectors for broader scoped tasks). So limiting it strictly to "open files and read emails" is too restrictive compared to how Microsoft positions the feature set.
NEW QUESTION # 16
You have a historical dataset that contains 1,000 records. You need an AI solution that can analyze the data to identify patterns and predict future outcomes. What should you include in the solution?
Answer: A
Explanation:
The requirement describes a predictive analytics / machine learning scenario: using historical data to learn patterns and then predict future outcomes . The Microsoft service that directly supports the end-to-end machine learning lifecycle-data preparation, model training, evaluation, deployment, and MLOps-is Azure Machine Learning , which is why C is the best choice. Azure Machine Learning is explicitly designed to help data scientists and engineers train and deploy models and manage the ML project lifecycle, making it the right fit for building a predictive model from your dataset.
The other options focus on different problem classes: Azure Document Intelligence is for extracting structured data from documents (OCR, key-value pairs, tables), not for general predictive modeling. Azure Content Understanding is for deriving structured insights from multimodal content (documents, images, audio, video) into a user-defined schema; it's not the primary service for training predictive models from a tabular historical dataset. Microsoft Foundry is a broader platform for building AI apps/agents and orchestrating models/tools, but the specific need here is classical ML training and prediction-handled most directly by Azure Machine Learning.
NEW QUESTION # 17
......
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