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| Section | Weight | Objectives |
|---|---|---|
| Identify the business value of generative AI solutions | 35โ40% | - Foundational concepts of generative AI - Business benefits, ROI, and efficiency gains - Selecting generative AI solutions for business needs - Differences between generative AI and other AI types |
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20โ25% | - Adoption planning and scaling AI solutions - Measuring success and continuous improvement - Organizational readiness and change management - Responsible AI principles and governance |
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35โ40% | - Microsoft 365 Copilot features and use cases - Azure AI services and Azure AI Foundry tools - Microsoft Copilot Studio capabilities - Aligning Microsoft AI tools to business requirements |
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NEW QUESTION # 11
- 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 # 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:
Microsoft 365 Copilot can amplify existing data governance challenges. Answer: Yes
Implementing Microsoft 365 Copilot reduces data management costs. Answer: No
Microsoft 365 Copilot can help IT teams manage data risks. Answer: Yes
Yes - Copilot relies on the permissions, sharing links, and content exposure that already exist in Microsoft 365. If an organization has oversharing (for example, broadly accessible SharePoint sites, poorly scoped Teams, unmanaged external sharing, or excessive access rights), Copilot can surface that content more easily through natural-language querying. In other words, Copilot doesn't create new permissions, but it can increase visibility of governance gaps and make the impact of weak information architecture more apparent.
No - It is not accurate to claim that implementing Copilot inherently reduces data management costs.
Adoption often requires up-front investment in data hygiene, sensitivity labeling, retention, permission cleanup, DLP, and change management. Some organizations may realize productivity gains or reduced effort over time, but "reduces costs" is not a guaranteed outcome and depends heavily on the current state of governance, the scale of remediation needed, and how Copilot is rolled out.
Yes - Copilot can support IT risk management when deployed with the right controls: identity and access governance, sensitivity labels, DLP policies, retention, auditing, and compliance tooling. Because Copilot operates within the Microsoft 365 security/compliance boundary and honors existing access controls, IT can apply centralized policies to reduce leakage risk and improve overall control of how organizational data is accessed and used.
NEW QUESTION # 13
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:
* A text-to-image generator can be used to translate content into other languages. Answer: No
* A predictive analytics model can generate new marketing content for a company's online ads. Answer:
No
* A generative AI chatbot can engage customers in personalized conversations and recommend products.
The answer: Yes
* No - A text-to-image generator's primary function is to create images from text prompts , not translate text between languages. Translation is a natural language processing task typically handled by language models or dedicated translation services. A text-to-image model could illustrate translated content (e.g., generate an image based on a translated prompt), but it is not the tool used to perform the translation itself.
* No - Predictive analytics models are designed to predict outcomes (forecasts, probabilities, classifications) from historical patterns, such as predicting click-through rate, churn, or next-quarter demand. They are not designed to create new ad copy or marketing creatives. Generating new marketing content is a generative AI capability (text generation), not predictive analytics.
* Yes - A generative AI chatbot is well-suited to interactive, natural-language conversations . With access to product catalogs and business rules, it can ask clarifying questions, tailor responses to customer needs, and recommend products (for example, suggesting tents based on group size, season, and budget). This combines conversational generation with retrieval/recommendation logic behind the scenes, enabling personalized customer engagement at scale.
NEW QUESTION # 14
Your company sells hiking and camping gear online.
You need a generative AI solution that can interact with customers and ask questions about their needs.
What should you include in the solution?
Answer: A
Explanation:
In the evolving landscape of online retail, a generative AI solution typically takes the form of an AI Shopping Assistant or Conversational Agent. Unlike traditional, rule-based chatbots that follow rigid "yes/no" decision trees, these advanced solutions use Natural Language Processing (NLP) and Large Language Models (LLMs) to hold human-like, two-way dialogues.
Core Capabilities for Customer Interaction
To effectively assess customer needs, a generative AI solution should include:
Proactive Discovery Questions: Instead of waiting for a search query, the assistant can initiate the conversation with open-ended questions like, "What are you looking for today?" or "Is this gift for you or someone else?" to narrow down options.
Contextual Probing: If a customer's response is vague (e.g., "comfortable shoes"), the AI can ask clarifying follow-up questions to understand specific requirements for fit, material, or use case.
Personalized Recommendations: By analyzing real-time behavior, past purchases, and current session data, the AI generates tailored suggestions that act as a digital sales associate.
24/7 Multi-Channel Support: These agents provide instant assistance across websites, mobile apps, and social platforms like WhatsApp or Facebook Messenger, regardless of business hours.
Reference:
https://www.cognigy.com/blog/ai-chatbots-for-e-commerce
NEW QUESTION # 15
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
An AI champions program includes users who advocate for AI by learning, sharing, and identifying use cases. Champions are not primarily the infrastructure team, analytics team, or executive strategy group. Their value is adoption enablement. They help colleagues understand AI tools, share practical usage patterns, collect feedback, and discover department-specific opportunities where AI can improve productivity or decision-making. Strategy and governance are usually handled by leadership, AI councils, legal, risk, compliance, security, and technical stakeholders. Infrastructure is handled by IT and engineering teams. Champions sit closer to end users and help translate the AI strategy into practical daily usage. This makes them critical for scaling proficiency and adoption across the organization.
NEW QUESTION # 16
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