
EC-CouncilCertified AI Program Manager
Domain 3Objective 2
Use Case Evaluation CAIPM Practice Questions (Page 6)
Part of the AI Use Case Identification and Strategy Design domain, which makes up ~18% of our current practice bank.
45questions here
9free pages
8concepts
Questions 26–30
- 26
A media company is evaluating three AI use cases: content personalization, ad-targeting optimization, and automated content moderation. The company has a scoring model with criteria: strategic alignment (50%), cost-benefit (30%), and feasibility (20%). Use case A scores 9, 5, 8; use case B scores 7, 9, 6; use case C scores 8, 7, 9. The company has a limited budget and must select only one. Which use case should be selected?
Select an answer first - 27
A financial regulator is evaluating an AI system that monitors trading activity for market manipulation. The system would improve detection but also raises concerns about false positives that could harm legitimate traders. The regulator's strategic goal is to maintain market integrity while minimizing disruption. What should the program manager do?
Select an answer first - 28
A regional bank is evaluating three AI use cases: a chatbot for customer service, a fraud-detection model, and a document-processing tool for loan applications. The bank's strategic priority for the next year is to reduce operational risk, while customer satisfaction is a secondary goal. The AI program manager must select the use case that best aligns with the strategic priority, using a weighted scoring model where 'risk reduction' has a weight of 0.6 and 'customer impact' has a weight of 0.4. The scores (out of 10) are: chatbot (risk 4, customer 9), fraud detection (risk 9, customer 5), document processing (risk 7, customer 6). Which use case should be selected?
Select an answer first - 29
A financial services firm is defining evaluation criteria for AI use cases. The firm's strategic objectives are to increase revenue and improve regulatory compliance. Which set of criteria is most appropriate for evaluating use cases?
Select an answer first - 30
A manufacturing company wants to implement a predictive maintenance AI system. The data required is scattered across multiple legacy systems and is not consistently labeled. The company has a limited data-science team and a tight budget. The AI program manager must decide whether to proceed. Which of the following is the most appropriate recommendation?
Select an answer first
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