Design Overall AI Strategy for Business Solutions AB-100 Practice Questions (Page 7)

Questions 31–35

1. 31expert · hard

   A healthcare AI company is developing a solution to predict patient readmission risk. They have a large dataset of electronic health records (EHR) and need high accuracy. They also need to explain the predictions to clinicians. They have limited GPU resources for training. Which approach should they take?

   • ATrain a custom gradient-boosting model on the EHR data and use SHAP values for explainability.
   • BUse a prebuilt healthcare AI model from Azure AI Health.
   • CUse a large pre-trained language model and fine-tune it on the EHR data.
   • DUse a small language model fine-tuned on clinical notes.
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2. 32expert · hard

   A telecom company wants to build an AI assistant for field technicians. The assistant should help with troubleshooting steps, access equipment manuals, and log service tickets. The company uses Microsoft 365 and has a custom ticketing system. They need the assistant to work offline in remote areas and provide step-by-step guidance. Which approach should they take?

   • AUse a small language model fine-tuned on troubleshooting manuals and deploy it on the device.
   • BUse Microsoft 365 Copilot with a custom plugin to access the ticketing system and manuals.
   • CUse a prebuilt agent in Copilot Studio that connects to the ticketing system via API.
   • DBuild a custom agent using Microsoft Foundry that runs on a mobile device with on-device AI for offline troubleshooting.
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4. 33foundation · easy

   In Copilot Studio, what is the primary role of 'knowledge sources' in a generative AI agent?

   • ATo limit the number of users who can access the agent
   • BTo provide the agent with up-to-date, domain-specific information to generate accurate responses
   • CTo define the personality and tone of the agent
   • DTo store the conversation history of all users
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5. 34foundation · easy

   What is a key advantage of extending Microsoft 365 Copilot rather than building a custom agent from scratch?

   • AIt leverages existing Microsoft 365 data and context
   • BIt guarantees better performance than a custom agent
   • CIt eliminates the need for any data governance
   • DIt provides complete control over the underlying AI model
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6. 35foundation · easy

   Which element is most important to include in an AI strategy to ensure the solution remains aligned with business goals over time?

   • AA set of measurable success metrics
   • BA detailed list of AI algorithms
   • CA fixed budget for the entire project
   • DA list of all potential risks
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