AI Use Case Identification and Value Prioritization CAIPM Practice Questions (Page 9)

Questions 41–45

1. 41application · medium

   A startup wants to implement an AI use case for product recommendation. The startup has a small team of data engineers but no data scientists. They have access to a cloud AI platform with pre-built recommendation models. What is the most important resource assessment consideration?

   • AThe availability of labeled product data, because it is the most critical resource
   • BThe brand of the cloud provider, because it determines the quality of the recommendation model
   • CWhether the existing team can operate and tune the pre-built models without dedicated data scientists
   • DThe cost of the cloud platform, because it is the only resource that matters
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2. 42foundation · easy

   Why is stakeholder engagement important when prioritizing AI use cases?

   • AIt eliminates the need for a feasibility assessment
   • BIt ensures the prioritized use cases align with business goals and gain buy-in
   • CIt guarantees that all use cases will be implemented successfully
   • DIt replaces the need for a value/complexity matrix
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4. 43foundation · easy

   When assessing organizational resources for an AI use case, which of the following is a key resource to evaluate?

   • AThe organization's office location
   • BData availability and quality
   • CThe organization's brand reputation
   • DThe number of competitors in the market
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5. 44application · medium

   A financial services firm is prioritizing AI use cases. Two use cases have similar ROI and feasibility. Use case A involves analyzing customer transaction data to offer personalized loans. Use case B involves automating internal compliance reporting. The firm faces strict regulatory scrutiny on customer data usage. Which use case should be prioritized?

   • ABoth, because they have similar ROI and feasibility
   • BUse case B, because it has lower regulatory risk and still delivers operational value
   • CUse case A, because it directly generates revenue through personalized loans
   • DUse case A, because it is more innovative and aligns with digital transformation goals
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6. 45application · medium

   A city government is considering an AI system to predict which neighborhoods are at risk of housing code violations. The system would use historical inspection data, which may reflect past biases. During prioritization, what should the AI program manager do?

   • AReject the use case entirely because historical data is biased
   • BAsk the public for input before making any decision
   • CProceed because the system will improve efficiency and allocate inspectors more effectively
   • DInclude a bias and fairness assessment as part of the risk evaluation before approving the use case
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