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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify the business value of generative AI solutions | 35โ40% | - AI value identification
|
| Topic 2: Identify an implementation and adoption strategy for Microsoft AI apps and services | 20โ25% | - AI adoption strategy
|
| Topic 3: Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35โ40% | - Microsoft AI ecosystem
|
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NEW QUESTION # 98
- 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 # 99
Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied.
Which Microsoft responsible AI principle is this an example of?
Answer: D
Explanation:
The correct answer is A. transparency. Transparency means users and stakeholders should understand when AI is being used, what the AI system can do, what its limitations are, and how important outputs or decisions were produced. In this scenario, applicants can request an explanation for why a loan application was denied. That explanation capability makes the AI-assisted decision more understandable and reviewable, which directly supports transparency. Fairness is related to avoiding unjust bias or discriminatory outcomes. Privacy and security focus on protecting personal and organizational data. Inclusiveness focuses on ensuring AI systems work for people with different abilities, backgrounds, and experiences. Because the scenario is specifically about explaining a decision, the best answer is transparency.
NEW QUESTION # 100
HOTSPOT - 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
* Larger datasets can increase the cost of a generative AI solution that uses an Azure Machine Learning workspace. Answer: Yes
* The cost of consuming Azure OpenAI models is primarily identified by the number of input and output tokens processed. Answer: Yes
* The cost of custom generative AI solutions always remains the same regardless of the model version or capability used. Answer: No
* Yes - In Azure Machine Learning, cost is driven by the resources you consume to store, process, and train. Larger datasets typically require more storage, more data transfer, and more compute time for preprocessing, training, evaluation, and experimentation. Even if you are not training foundation models, handling larger corpora can increase pipeline duration and the number/size of compute instances used, which increases overall cost.
* Yes - For Azure OpenAI usage under Standard (on-demand), pricing is primarily tied to token-based consumption (input tokens + output tokens). The more context you send and the longer the generated responses, the more tokens you consume, and the higher the cost. This is why prompt optimization, response length controls, and grounding strategies matter for cost management.
* No - Costs vary with model choice and capability. Different model families and versions have different price points, and larger/more capable models generally cost more per token or per unit of throughput. Additionally, architecture choices (RAG, vector search, caching), usage patterns, and throughput requirements can significantly change total cost-so it is never "always the same."
NEW QUESTION # 101
Your company's HR department spends a large amount time answering repetitive questions and updating policy documents.
You need a solution that can automate employee interactions, respond to HR-related questions, and connect to internal business data sources.
What solution should you recommend?
Answer: B
Explanation:
Microsoft Copilot Studio is the most adequate solution for automating employee interactions, responding to HR-related questions, and connecting to internal business data sources.
Copilot Studio (formerly Power Virtual Agents) allows organizations to create custom AI agents or
"copilots" that can be embedded in Microsoft Teams, SharePoint, and other apps to provide self- service support.
Key Capabilities for HR & Internal Data
*-> Connecting to Internal Data Sources: Copilot Studio can connect to SharePoint, HRIS systems, SQL Server, and other databases to retrieve policy documents, payroll information, and employee data.
*-> Automating Employee Interactions: It creates conversational AI chatbots (often called
"AskHR" virtual agents) that handle routine queries, such as leave requests, benefits questions, and policy inquiries.
Intelligent Action and Workflow: Beyond just answering questions, Copilot Studio uses Generative AI to take actions, such as submitting time-off requests or updating employee records through Power Automate integrations.
Customization: It enables the creation of tailored agents (e.g., Onboarding Assistant, Leave Assistant, Policy Assistant) specifically for HR needs.
Reference:
https://www.synapx.com/boosting-internal-productivity-with-copilot-studio-support-bots
NEW QUESTION # 102
An organization wants to enhance employee productivity by using generative AI within tools such as Word, Excel, PowerPoint, Outlook, and Teams.
The solution must assist users by generating content, summarizing meetings, analyzing data, and drafting communications within their daily workflow.
Which solution should the organization implement?
Answer: C
Explanation:
Microsoft 365 Copilot embeds generative AI capabilities directly into Microsoft 365 applications, enabling users to generate content, summarize meetings, analyze spreadsheets, and draft communications within their daily productivity tools such as Word, Excel, PowerPoint, Outlook, and Teams.
References:
https://learn.microsoft.com/en-us/training/modules/business-value-microsoft-copilot-solutions/1- introduction?ns-enrollment-type=learningpath&ns-enrollment-id=learn.wwl.drive-value-generative- ai-solutions
https://www.microsoft.com/en-in/microsoft-365-copilot/in-apps-for-work#tabs-pill-bar-oc58d2_tab1
NEW QUESTION # 103
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