Design the ALM Process for AI-powered Business Solutions AB-100 Practice Questions (Page 8)

Questions 36–40

1. 36application · medium

   A company uses Dynamics 365 Supply Chain Management with an AI feature that optimizes inventory levels. The AI model is updated monthly. The company wants to ensure that the updated model is tested with historical data before production. What should you do?

   • ADeploy the model to production and compare results with the previous model
   • BSkip testing and rely on the model's built-in safeguards
   • CUse a sandbox environment with historical data to validate the model's performance before production
   • DRun the model in production with a small subset of data
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2. 37application · medium

   A company uses Microsoft Foundry Agents that rely on a shared dataset stored in Azure Blob Storage. The dataset is updated daily by an ETL job. The company wants to ensure that changes to the dataset are versioned and that agents can be tested with a specific dataset version before production. What should you implement?

   • AA dataset versioning system that tags each update and allows agents to reference a specific version
   • BA single shared dataset that is overwritten daily
   • CA notification system that alerts when the dataset changes
   • DA manual copy of the dataset taken weekly
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4. 38application · medium

   A finance department uses Dynamics 365 Finance with an AI feature that predicts cash flow. The AI model is updated quarterly with new financial data. The company needs to ensure that the updated model is tested in a sandbox environment before it is deployed to production. What should you do?

   • ADeploy the updated model directly to production and monitor performance
   • BRun the updated model in parallel with the current model in production
   • CUse a Dynamics 365 sandbox environment to test the updated model and then promote it to production
   • DSchedule the model update during off-peak hours without testing
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5. 39foundation · easy

   What is a key focus when designing an ALM process for AI implementations in Dynamics 365 finance and supply chain apps?

   • AEnsuring that AI features are tested with realistic financial and supply chain data in a staging environment
   • BUsing the same AI model for all customers without customization
   • CDeploying AI features directly to production without testing to speed up business processes
   • DAvoiding any changes to AI features after deployment to maintain stability
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6. 40application · medium

   A company has a Copilot Studio agent integrated with Dynamics 365 Customer Service. They need to update the agent's conversation flow and also change the underlying data source. They want to minimize downtime. What should you do?

   • ACreate a new agent and redirect users manually.
   • BUpdate the production agent directly during business hours.
   • CTake the agent offline, update it, and bring it back online.
   • DDeploy the agent update to a staging environment, validate, then swap to production using a blue-green deployment.
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