Manage Creation of AI Solution Deployment Plan PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A company is deploying an AI model for real-time fraud detection. The deployment plan includes a rollback procedure. During the first hour after deployment, the model starts flagging a large number of legitimate transactions as fraudulent. The operations team is overwhelmed. What is the most appropriate action?

   • AAdjust the model's threshold to reduce false positives without rolling back
   • BContinue monitoring for another hour to see if the issue resolves
   • CContact the data science team to retrain the model on the spot
   • DTrigger the rollback procedure to revert to the previous fraud detection system
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2. 2foundation · easy

   What is the purpose of defining validation criteria for an AI deployment?

   • ATo replace the need for monitoring after deployment
   • BTo increase the complexity of the deployment process
   • CTo define the model's training algorithm
   • DTo determine if the deployment was successful and meets requirements
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4. 3foundation · easy

   What is the purpose of a rollback procedure in an AI deployment?

   • ATo update the AI model with new training data
   • BTo revert to a previous stable version if the deployment fails
   • CTo delete all data associated with the AI solution
   • DTo permanently disable the AI solution
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5. 4expert · hard

   A company is deploying an AI system for customer churn prediction. The deployment is scheduled for a Friday afternoon. During the final review, the data science team discovers that the model's performance has degraded due to recent changes in customer behavior. The model's accuracy is now below the acceptable threshold. The IT team is ready to deploy. What should the deployment coordinator do?

   • ADelay the deployment and work with the data science team to retrain the model
   • BDeploy the model and adjust the threshold to make it acceptable
   • CProceed with the deployment and monitor the model's performance in production
   • DDeploy the model but disable it for a week to collect more data
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6. 5application · medium

   A logistics company is deploying an AI route optimization system that must integrate with the existing transportation management system (TMS). The TMS is legacy and uses a proprietary API. The IT team has limited experience with AI integrations. What is the most important step to ensure seamless integration?

   • ADeploy the AI system as a standalone tool and manually transfer data between systems
   • BEngage the IT team early to assess the TMS API capabilities and plan for middleware or adapters
   • CReplace the legacy TMS with a modern system that supports AI natively
   • DDevelop a custom interface without involving IT to avoid delays
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