Manage Creation of AI Solution Deployment Plan PMI-CPMAI Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A retail company is deploying a new AI-based demand forecasting model. The model will be used by store managers to adjust inventory orders. The company wants to minimize disruption to daily operations while gaining confidence in the model's accuracy. The IT team has limited capacity to support the deployment. Which deployment strategy best meets these requirements?

   • ADeploy the model to all stores but disable it for the first month to collect baseline data
   • BRoll out to all stores in a single weekend when store traffic is low
   • CBig bang deployment to all stores simultaneously to get the full benefit of the model as soon as possible
   • DPhased rollout starting with a pilot in two stores, then expanding to all stores over several weeks
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2. 7expert · hard

   A startup is deploying an AI recommendation engine for its e-commerce platform. The startup has a small team: one data scientist, one developer, and one DevOps engineer. The budget is limited, and the timeline is aggressive. The CEO wants the deployment to be completed in one month. What is the most effective resource allocation strategy?

   • ADelay the deployment by two months to allow more time for the team
   • BHire a freelance DevOps consultant to handle the entire deployment
   • CHave the data scientist and developer focus on the deployment, while the DevOps engineer handles infrastructure and monitoring
   • DAsk the data scientist to manage the deployment alone since they know the model best
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4. 8foundation · easy

   Why is coordination with IT teams important during AI solution deployment?

   • ATo avoid any changes to the existing systems
   • BTo replace the existing IT infrastructure entirely
   • CTo transfer all IT responsibilities to the AI team
   • DTo ensure the AI solution integrates with existing systems
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5. 9foundation · easy

   Which of the following is typically included in a pre-deployment checklist?

   • AAn analysis of model performance after deployment
   • BVerification that the target environment is ready
   • CA review of user feedback on the deployed solution
   • DA plan for decommissioning the old system
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6. 10foundation · easy

   When planning infrastructure for an AI deployment, what does the storage requirement primarily address?

   • AThe amount of data that needs to be persisted for the solution
   • BThe type of operating system to use
   • CThe speed of the network connection
   • DThe number of users who can access the system
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