Integrating AI into Enterprise Systems CAIPM Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A retail chain is integrating an AI inventory-forecasting system. Store managers are skeptical because the system's forecasts have been wrong in the past. The program manager needs to increase adoption while maintaining accountability. What is the best approach?

   • AReplace the store managers' judgment with the AI system's recommendations automatically.
   • BRun a pilot in a few stores, share results transparently, and involve managers in refining the system.
   • CShow managers a dashboard of the system's overall accuracy without local details.
   • DMandate that all stores use the system and penalize managers who override it.
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2. 2foundation · easy

   Which element is most important to include in an enterprise AI integration strategy to ensure it aligns with business goals?

   • AA plan to replace all existing systems with AI-driven applications
   • BA detailed list of AI algorithms to be used
   • CA clear definition of the business problems AI will address and the expected outcomes
   • DA commitment to using open-source AI tools exclusively
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4. 3foundation · easy

   Which factor is most important when deciding between on-premises and cloud deployment for an AI system?

   • AThe number of AI models in development
   • BThe programming language used to write the AI code
   • CData residency and compliance requirements
   • DThe color scheme of the user interface
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5. 4expert · hard

   A large insurance company is integrating an AI underwriting system. The system will automate initial policy approvals, but complex cases will be escalated to human underwriters. The underwriters are resistant because they fear the system will eventually replace them. The company also faces regulatory requirements to ensure that AI decisions are explainable and that human review is available for adverse decisions. What should the change management plan emphasize?

   • AGuarantee that no underwriter will lose their job, regardless of future system performance.
   • BImplement the system in a way that hides the AI's decision logic to protect intellectual property, and do not provide explanations to underwriters.
   • CEmphasize that the AI system will handle routine cases, allowing underwriters to focus on complex cases, and provide training on how to review AI decisions.
   • DAllow underwriters to override AI decisions without any documentation or review process.
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6. 5application · medium

   A utility company wants to integrate an AI demand-forecasting model with its legacy billing system, which stores historical usage data in a COBOL-based application. The AI model needs the data in a modern format. What is the most practical way to enable this integration?

   • ARewrite the billing system in a modern programming language.
   • BAsk the billing system vendor to provide a real-time API.
   • CHave the AI model read the COBOL files directly.
   • DUse an extract, transform, load (ETL) process to export data from the legacy system into a modern data warehouse.
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