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| Section | Weight | Objectives |
|---|---|---|
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35–40% | - Aligning Microsoft AI tools to business requirements - Azure AI services and Azure AI Foundry tools - Microsoft 365 Copilot features and use cases - Microsoft Copilot Studio capabilities |
| Identify the business value of generative AI solutions | 35–40% | - Selecting generative AI solutions for business needs - Differences between generative AI and other AI types - Foundational concepts of generative AI - Business benefits, ROI, and efficiency gains |
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20–25% | - Responsible AI principles and governance - Measuring success and continuous improvement - Adoption planning and scaling AI solutions - Organizational readiness and change management |
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32. Frage
Your company uses generative AI to assist with content creation and customer interactions.
You need to evaluate whether Azure Machine Learning can add value to the current customer management.
For which use case should you use Machine Learning?
Antwort: D
Begründung:
Azure Machine Learning (Azure ML) adds critical value by providing predictive intelligence that complements the creative capabilities of generative AI. While generative AI automates content and interactions, Azure ML identifies which customers are likely to stop using services (churn), allowing for proactive rather than reactive management.
Key Value Additions to Customer Management
Churn Prediction: Azure ML models analyze behavioral metrics, transaction history, and support interactions to assign a "churn risk score" to each customer.
Proactive Retention: By identifying at-risk customers 10-11 months before renewal, teams can intervene with targeted strategies before a customer decides to leave.
Synergy with Generative AI: Azure ML identifies who is likely to leave, and generative AI can then be used to create personalized outreach (e.g., custom emails or special offers) specifically tailored to address that customer's predicted pain points.
Efficient Resource Allocation: Businesses can focus high-touch retention efforts and marketing spend on high-value customers flagged as high-risk, rather than using a "one-size-fits-all" approach.
Insight into Churn Drivers: Azure ML helps discover why customers leave (e.g., price sensitivity or poor support) by identifying the most influential factors in the prediction model.
Reference:
https://vskumar.blog/2025/05/15/empowering-enterprises-with-azures-generative-ai-and-machine-learning-10-use-cases-solutions
33. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Answer Area
* Microsoft 365 Copilot connectors enable you to index data from multiple sources to make the data available in Copilot. Answer: Yes
* You can build a custom Microsoft 365 Copilot connector when the available connectors do NOT meet your data integration requirements. Answer: Yes
* To use Microsoft 365 Copilot connectors, you need a Microsoft Copilot Studio license. Answer: No
* Yes - Microsoft 365 Copilot connectors (including synced connectors) are designed to bring external data into Microsoft Graph so it can be semantically indexed and surfaced in Microsoft 365 Copilot experiences. Microsoft explicitly states that synced connectors ingest/crawl content into Microsoft Graph where it's indexed and then available for Copilot prompts and citations.
* Yes - When Microsoft-provided connectors don't meet integration needs, organizations can create custom connectors (often referred to as Microsoft Graph connectors / custom connector development) to connect other data sources. This is a common extensibility path to index line-of-business repositories and make that content discoverable via Copilot and Microsoft Search.
* No - Using Microsoft 365 Copilot connectors does not require a Copilot Studio license. Connectors are generally configured and managed in Microsoft 365 admin/search experiences, and Microsoft's licensing guidance indicates that users can view connector data in Microsoft 365 Copilot and Microsoft Search with valid Microsoft 365/Office 365 licensing-Copilot Studio licensing is about building agents in Copilot Studio, not a prerequisite to use connectors.
34. Frage
Your company wants to ensure that AI solutions are used responsibly and align with company values and compliance requirements.
You need to establish governance principles for AI use.
Which two actions should you perform? Select the two BEST answers. Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Antwort: C,D
Begründung:
To establish robust governance for AI, a company must define accountability norms that bridge the gap between business objectives and technical execution. Effective frameworks ensure that specific individuals-not just committees-are responsible for AI outcomes across the entire lifecycle.
Core Accountability Strategies
Establish Clear Ownership: Assign a specific person or team as the "accountable owner" for each AI application. This includes defining decision rights for who can approve, modify, or retire a system.
To establish an effective AI governance framework, you should implement a structured review process that translates high-level ethical principles into operational practice. This process serves as a "brake pedal" for the organization, ensuring innovation remains safe and aligned with corporate values.
Reference:
https://www.databricks.com/blog/ai-governance-best-practices-how-build-responsible-and- effective-ai-programs
35. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Antwort:
Begründung:
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.
36. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point
Antwort:
Begründung:
Explanation:
* For a user to access organizational data from a mobile device, the user needs a Microsoft 365 Copilot license. No
* To reason over your organizational data by using Microsoft Graph, you need a Microsoft 365 Copilot license. Yes
* To use the Analyst agent, you need a Microsoft 365 Copilot license. Yes Top of Form Bottom of Form The key distinction here is between Copilot Chat capabilities available with a standard Microsoft 365 subscription and the full Microsoft 365 Copilot add-on that enables richer, in-context experiences grounded in organizational data.
Mobile access to organizational data does not inherently require a Microsoft 365 Copilot license. Microsoft's Microsoft 365 Copilot app (and related mobile experiences) can provide Copilot Chat for work/school accounts with a Microsoft 365 license, so simply accessing organizational content on a mobile device is not the same as having the paid Copilot add-on. The statement claims a Copilot license is required just to access org data from mobile, which is too broad-there are mobile Microsoft 365 apps that access org data without the Copilot add-on.
Reasoning over organizational data via Microsoft Graph is a core value proposition of Microsoft 365 Copilot.
Microsoft documents explain that Microsoft 365 Copilot connects LLMs to your organization's content and context through Microsoft Graph and generates responses "anchored" in organizational data. That deeper integration is tied to the Microsoft 365 Copilot experience (an add-on license).
Analyst is a "reasoning agent" within Microsoft 365 Copilot and Microsoft states that users with a Microsoft
365 Copilot license can use Analyst (with defined usage limits). Therefore, the Analyst agent requires the Microsoft 365 Copilot license.
37. Frage
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