Assess AI Readiness Across Key Dimensions CAIPM Practice Questions (Page 11)

Questions 51–54

1. 51expert · hard

   A telecom company wants to deploy AI for network anomaly detection. The company has a large on-premises data center with legacy systems, but the data is growing rapidly. The operations team is concerned about latency and downtime during any migration. The budget allows for either a full cloud migration or a hybrid setup. What should the AI program manager recommend?

   • AKeep everything on-premises and upgrade the legacy systems.
   • BHybrid setup: run AI workloads in the cloud and keep real-time data processing on-premises.
   • CUse a third-party managed service for the entire AI platform.
   • DFull cloud migration to get unlimited scalability.
   Reveal Solution Discussion Select an answer first
2. 52application · medium

   A government agency wants to implement AI to automate document classification. The workforce is accustomed to manual processes and has low digital literacy. The agency has a strict budget for training. What should the AI program manager prioritize?

   • AOutsource the entire project to avoid internal training costs.
   • BDeploy the AI system and provide only a quick reference guide.
   • CAssess the workforce's current skills and design targeted training for the employees most affected by the AI system.
   • DInvest in comprehensive AI literacy training for all employees.
   Reveal Solution Discussion Select an answer first
4. 53application · medium

   An insurance company wants to automate claims processing with AI. The current process involves manual handoffs between departments and legacy forms. The company's strategic goal is to reduce processing time by 50%. What is the most significant process-related readiness gap?

   • ALack of a modern AI platform
   • BLack of executive sponsorship
   • CInsufficient employee training on AI
   • DManual and fragmented workflows that are not ready for AI integration
   Reveal Solution Discussion Select an answer first
5. 54application · medium

   A hospital network plans to introduce an AI-assisted diagnostic tool for radiologists. The radiologists are skeptical and fear the tool will replace their judgment. The IT department has confirmed the data and technology are ready. What should the AI program manager prioritize?

   • AProceed with deployment because the technology is proven and data is ready.
   • BReplace the radiologists with the AI tool to reduce costs.
   • CAssess workforce skills and culture, and engage radiologists in the change process.
   • DDelay the project until all radiologists fully trust AI.
   Reveal Solution Discussion Select an answer first