CPMAI practice questions 141–150

1. Question 141 · 192 in bank

   A project manager is considering different project management approaches for an AI solution deployment. They need to ensure the approach allows for iterative improvements and accommodates changing requirements. Which approach is effective in this situation?

   • AHybrid
   • BAdaptive/agile
   • CIncremental
   • DPredictive

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   Answer: B

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2. Question 142 · 192 in bank

   A healthcare project manager is working on implementing an AI-driven diagnostic tool. The project requires identifying key resources, including data scientists, server infrastructure, and external AI consultants. The project manager needs to ensure the allocated resources are optimized for the project’s success. Which method will help to ensure the optimal allocation of resources?

   • AUtilizing a resource-leveling technique to balance workloads across all team members
   • BApplying the theory of constraints to identify and mitigate bottlenecks in resource allocation
   • CConducting a SWOT (strengths, weaknesses, opportunities, threats) analysis to evaluate project resources
   • DImplementing a Monte Carlo simulation to predict resource allocation and project timelines

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   Answer: B

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3. Question 143 · 192 in bank

   In a complex healthcare project, a provider plans to implement AI for patient data analysis to improve diagnostic accuracy. The project involves the need for interoperability between the AI systems and existing healthcare databases. These databases contain sensitive patient information. The requirements involve strict ethical and legal regulations in various countries. Which critical step must be performed?

   • AMaintaining high prediction accuracy
   • BPerforming a detailed financial risk analysis
   • CImplementing privacy impact assessments
   • DCreating a regulatory impact report

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   Answer: C

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4. Question 144 · 192 in bank

   An aerospace company is integrating AI into their manufacturing process to enhance safety and efficiency. The project team needs to evaluate potential security threats to prevent unauthorized access to sensitive data. What is the highest risk?

   • AEmploying a proprietary software with no open-source review
   • BSecure APIs and data flows by enforcing data governance
   • CImplementing an AI model without regular data updates
   • DOperationalizing a decentralized data storage system

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   Answer: D

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5. Question 145 · 192 in bank

   A project manager is leading a complex project for a global financial institution. The project is developing an AI-driven system for real-time fraud detection and risk management. The system needs to adhere to all financial regulations. The project manager has identified skills gaps with the existing available resources. What should the project manager do?

   • AEngage consultants to fill the expertise gap.
   • BAllocate additional budget for consultant AI training.
   • CProceed with the project until external expertise is needed.
   • DDelay the project until internal expertise is developed.

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   Answer: A

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6. Question 146 · 192 in bank

   A project team is using a prompt engineering approach to improve AI/machine learning (ML) model outputs. They started with broad questions and then narrowed down the specific elements. If the team had provided insufficient context, what would be the result?

   • AThe output would include higher accuracy.
   • BThe responses would lack relevance.
   • CThe model would perform more efficiently.
   • DThe model would generate more creative outputs.

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   Answer: B

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7. Question 147 · 192 in bank

   A project manager is tasked with ensuring the transparency of an AI project’s data selection process. The project involves integrating multiple data sources from various departments. What should the project manager do?

   • AImplement advanced data encryption techniques.
   • BDevelop a data visualization dashboard.
   • CCreate a comprehensive data catalog.
   • DEstablish a cross-departmental data sharing agreement.

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   Answer: C

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8. Question 148 · 192 in bank

   A project manager is overseeing the quality assurance and quality control of an AI/machine learning (ML) model. The model has been trained and initial tests have shown promising results. However, the project manager is concerned about the long-term performance and reliability of the model in real-world scenarios. What should the project manager do?

   • AImplement additional data augmentation techniques.
   • BPerform a comprehensive hyperparameter tuning.
   • CEstablish continuous monitoring and feedback loops.
   • DSet up cross-validation with a larger dataset.

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   Answer: C

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9. Question 149 · 192 in bank

   A financial services firm is implementing AI models to automate fraud detection. The project manager needs to ensure the models comply with regulatory standards and ethical guidelines while maintaining performance and accuracy. Which action should the project manager take?

   • AImplement bias detection and mitigation strategies.
   • BAssume compliance without formal verification.
   • CUse any available data without checking for consent.
   • DFocus solely on model accuracy, ignoring compliance.

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   Answer: A

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10. Question 150 · 192 in bank

    A hospital wants to develop a medical records system with the primary goal of minimizing or eliminating paper records. They have identified where the cognitive AI solution will be applied. In addition, business objectives have been quantified and key performance indicators (KPI) have been determined. What else needs to be done to progress to the next Cognitive Project Management for AI (CPMAI) phase?

    • ADetermine the project ROI
    • BBegin prototype development
    • CExplore external data sources
    • DCreate interdepartmental strategies

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    Answer: A

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CPMAI practice, question 141. 192 questions available.