Manage AI Solution Deployment PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which of the following is an example of a performance metric used during production validation of an AI solution?

   • AColor scheme of the user interface
   • BAverage response time
   • CName of the cloud provider
   • DNumber of developers on the team
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2. 12expert · hard

   An e-commerce company is deploying a new AI recommendation system. The deployment is planned for a low-traffic period. The project manager is monitoring progress against milestones. The team has completed the integration but has not yet started performance testing. The go-live is in two days. The performance testing is expected to take three days. What should the project manager do?

   • ASkip performance testing and proceed with the go-live.
   • BAsk the team to work overtime to complete the testing.
   • CNegotiate with the team to compress the performance testing timeline by using automated testing tools.
   • DDelay the go-live date to allow for full performance testing.
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4. 13expert · hard

   A telecom company is deploying a new AI network optimization system. The deployment involves multiple teams: network engineers, data scientists, and security. The network engineers require a maintenance window to avoid disrupting live traffic. The security team requires a full security audit before go-live. The data science team wants to monitor the model's performance after deployment. The project manager has a tight deadline. What is the most important thing to coordinate?

   • AThe sequence of activities, ensuring the security audit is completed before the maintenance window.
   • BThe budget for the deployment, ensuring all teams have sufficient resources.
   • CThe technical specifications of the AI model.
   • DThe communication preferences of each team.
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5. 14foundation · easy

   What is the purpose of enforcing security policies during AI solution deployment?

   • ATo improve the model's prediction accuracy
   • BTo speed up the deployment timeline
   • CTo reduce the number of servers needed
   • DTo protect the solution from unauthorized access and data breaches
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6. 15expert · hard

   A software company is deploying a new AI-powered code review tool. The deployment is scheduled for a weekend to minimize impact on developers. The project manager has a detailed deployment plan with milestones. On Friday, the team discovers a critical bug in the integration with the version control system. The bug could cause data loss. The go-live is scheduled for Saturday. What should the project manager do?

   • AProceed with the deployment and fix the bug after go-live.
   • BAsk the development team to work overnight to fix the bug before the scheduled deployment.
   • CDelay the deployment until the bug is fixed and thoroughly tested.
   • DDeploy the system but disable the integration with the version control system.
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