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Fabrikam wants to experiment with generative AI to summarize customer emails and propose draft responses in Outlook. They explicitly want to avoid building any custom apps or APIs at this stage and focus on rapid user adoption.The most appropriate approach is to start with Microsoft Copilot for Microsoft 365 rather than immediately investing in a custom Azure OpenAI solution.

Fabrikam Health is building a “Ward Rounds Copilot” for clinicians.RequirementsR1: Extract text from photos of whiteboard notes, patient labels, and printed ward lists taken on a tabletR2: Allow doctors to ask questions over clinical guidelines, local policies, and anonymised case summaries using natural-language and semantically relevant resultsR3: Provide a unified environment where the digital team can connect models and tools, configure the copilot, and manage lifecycle, security, and monitoringProposed solutionUse Azure AI Vision to perform OCR and image analysis on the photos from the wardUse Azure AI Search to index guidelines, policies, and case summaries and to provide semantic retrieval for the copilotUse Azure AI Foundry as the workspace where the team wires together models, tools (including Vision and Search), and lifecycle policies for the solutionDoes the proposed solution meet the requirements?

A transformation lead at Fabrikam claims:“As long as we collect very large volumes of data, it doesn’t matter if it’s noisy or poorly labeled; modern generative AI models will automatically correct for low data quality during training.”Is this statement correct?

A national health agency wants to use AI to summarize clinical notes but must comply with strict privacy regulations.Question:Why is secure AI critical in this context?

Contoso already has eligible Microsoft 365 business licenses for all knowledge workers. They want:Basic, enterprise-ready Copilot Chat for everyone at no extra costFull Microsoft 365 Copilot in-app experiences (Word, Excel, PowerPoint, Outlook, Teams) for a smaller pilot group on a per-user subscriptionWhich licensing approach best fits these goals?