Integrating AI into Enterprise Systems CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which type of testing is specifically used to assess the performance of an AI-integrated system under expected peak loads?

   • AUsability testing
   • BLoad testing
   • CSecurity testing
   • DUnit testing
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2. 7foundation · easy

   When defining an enterprise AI integration strategy, which initial step best ensures alignment with business goals and existing IT architecture?

   • AConducting a business value assessment and mapping AI opportunities to strategic objectives
   • BPurchasing a comprehensive AI platform and training all staff on it
   • CSelecting the most advanced AI algorithms before assessing business needs
   • DImmediately deploying AI models to production to gain a competitive advantage
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4. 8foundation · easy

   Which activity is part of the maintenance phase for an integrated AI system?

   • ARetraining the model periodically with new data to maintain accuracy
   • BDeleting the model's training data to free up space
   • CRemoving all monitoring logs to save storage
   • DDisabling alerts to avoid noise
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5. 9application · medium

   A manufacturing company wants to integrate a predictive maintenance AI model with its legacy ERP system, which runs on an old mainframe and exposes only a batch file interface. The model needs real-time sensor data from the shop floor to predict equipment failures. The ERP system is the only source of maintenance history. What should the integration strategy include?

   • AReplace the legacy ERP system with a modern cloud ERP that has APIs for real-time data access.
   • BManually export maintenance history to a data lake on a weekly basis and use that for model training, ignoring real-time sensor data.
   • CDirectly connect the AI model to the mainframe database using ODBC to query maintenance history in real time.
   • DUse a middleware layer to extract maintenance history from the ERP via batch files and ingest real-time sensor data through a separate streaming pipeline.
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6. 10application · medium

   A retail company has integrated an AI recommendation engine into its e-commerce platform. Before going live, the team wants to validate that the new system returns recommendations within 200 ms and does not degrade the checkout process. Which testing strategy should the team include?

   • AUnit testing of the recommendation model's accuracy on historical data.
   • BUser acceptance testing with a small group of internal employees.
   • CLoad testing that simulates peak traffic while monitoring response times and error rates.
   • DSecurity testing of the API endpoints.
   Reveal Solution Discussion Select an answer first