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NEW QUESTION # 76
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 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.
NEW QUESTION # 77
You need to create an AI assistant for a public customer support portal. The assistant must answer customer questions and start follow-up actions. The solution must minimize development effort.
What should you use?
Answer: C
Explanation:
The correct answer is D. Microsoft Copilot Studio. The requirement is to create an AI assistant for a public customer support portal that can answer customer questions and initiate follow-up actions with minimal development effort. Microsoft Copilot Studio is designed for building custom agents using a low-code approach. It can connect to knowledge sources, provide generative answers, define conversation behavior, and trigger actions through connectors or workflows. Microsoft 365 Copilot Chat is intended for workplace productivity and organizational users, not public customer support portals. Microsoft Security Copilot is for security operations and incident investigation. Microsoft 365 Copilot connectors only make external data available to Copilot experiences; they do not by themselves create a public-facing customer support assistant.
NEW QUESTION # 78
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: model inaccuracy
When a generative AI model produces output that seems realistic but contains incorrect information, the behavior is known as _______________.
That specific behavior-where the AI generates plausible-sounding but factually incorrect information-is known as hallucination.
While "model inaccuracy" is a broad way to describe it, "hallucination" specifically refers to when a generative AI model-like a large language model (LLM)-produces incorrect, misleading, or entirely fabricated information while presenting it as fact with a confident and plausible tone.
Reference:
https://www.techtimes.com/articles/314230/20260122/ai-hallucinations-explained-why-generative- ai-often-produces-inaccurate-results.htm
NEW QUESTION # 79
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: Use Microsoft 365 Copilot
Summarizing emails (Outlook) and creating presentations (PowerPoint) are native, out-of-the-box productivity capabilities built directly into Microsoft 365 Copilot. There is no need to develop a custom solution or build novel connectors here; the standard user license fully covers these daily workplace workflows.
Box 2: Build with Microsoft Copilot Studio
Creating a customized, conversational agent (formerly Power Virtual Agents) to handle specific internal business logic-like answering HR policy questions and triggering a workflow to submit leave requests-falls squarely under Microsoft Copilot Studio. This allows you to build a tailored chatbot with specific conversation topics, triggers, and actions.
Box 3: Build with Azure Machine Learning
Predictive maintenance schedules require deep data science workflows, including custom data ingestion from manufacturing sensors (IoT), training custom regression or classification models, and processing time-series data. This requires the robust, full-lifecycle data science capabilities of Azure Machine Learning rather than an LLM-based productivity tool.
Box 4: Extend with Microsoft 365 Copilot connectors
The finance department wants to use their familiar productivity tools (like Excel or Teams via Microsoft 365 Copilot) but needs those tools to access outside, third-party data silos (ERP data).
To allow the native Copilot to securely read and interact with non-Microsoft 365 data repositories, you must Extend with Microsoft 365 Copilot connectors (via Graph connectors or Power Platform connectors).
NEW QUESTION # 80
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: No
No - A generative AI model guarantees factually accurate responses if the model is trained on a large dataset.
A large training dataset does not guarantee that a generative AI model will provide factually accurate responses. While larger, diverse datasets generally improve performance and reduce certain types of errors, they do not eliminate the fundamental tendency of these models to generate incorrect information, known as "hallucinations".
Box 2: Yes
Yes - Content filtering and responsible AI safeguards help a generative AI model generate safe an inoffensive content.
Content filtering and responsible AI safeguards (e.g., in Azure AI Foundry or Amazon Bedrock ) act as essential, multi-layered, reactive mechanisms-covering both input and output-to detect and block harmful, illegal, or biased content. These systems use automated classifiers to, for example, filter for hate speech, sexual content, violence, and self-harm. They ensure safety by analyzing prompts and generating responses, often allowing for custom thresholds, to prevent models from generating unsafe or inappropriate output.
Box 3: No
No - A generative AI model always produce fair and unbiased results when the training data has been properly prepared and reviewed for fairness.
Even with perfectly prepared and reviewed training data, generative AI models can still produce biased results. While high-quality data is foundational, bias is a persistent challenge that can emerge from multiple sources throughout the AI lifecycle.
Reference:
https://mehmetozkaya.medium.com/limitations-of-large-language-models-llms-1790a14010db
https://monowar-mukul.medium.com/keeping-your-ai-safe-content-filters-in-azure-ai-foundry-
9a87c8447e11
https://www.sap.com/resources/what-is-ai-bias
NEW QUESTION # 81
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