CPMAI practice questions 181–190

1. Question 181 · 192 in bank

   A logistics company is developing an AI system to manage and predict supply chain disruptions. The project manager needs to evaluate the ethical implications of using this AI system. Which action will help to ensure ethical use?

   • AEstablishing a centralized data repository
   • BImplementing blockchain for data transparency
   • CAdopting a hybrid cloud architecture
   • DConducting an algorithmic impact assessment

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   Answer: D

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2. Question 182 · 192 in bank

   Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?

   • AConducted a go/no-go assessment
   • BDeveloped initial machine learning models
   • COperationalized a pilot version
   • DData collection and aggregation

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   Answer: A

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3. Question 183 · 192 in bank

   An aerospace company is planning to integrate AI for predictive maintenance. The project team needs to identify which parts of the project require cognitive AI solutions. Which method should the project manager perform to meet the objective?

   • AEmploying a multicriteria decision analysis tool to categorize AI project components
   • BUtilizing an AI-driven workflow engine to automate project segmentation
   • CImplementing a rule-based system to classify AI project elements based on predefined criteria
   • DConducting a series of workshops with domain experts to map out AI dependencies

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   Answer: D

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4. Question 184 · 192 in bank

   A company has recently received a large number of spam emails. Some employees have been clicking on the suspicious emails causing challenges for their IT department. The head of IT wants to create a more robust spam filter and has tasked a team with this project. Which type of algorithm should the project team use?

   • AMulticlass Classification
   • BBinary (or Binomial) Classification
   • CRegression
   • DClustering

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   Answer: B

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5. Question 185 · 192 in bank

   A project manager is evaluating an AI model’s performance to determine its business impact. The model has shown high accuracy during testing but has not been implemented yet in a live environment. The project manager needs to decide what to assess to ensure the model's effectiveness. What should the project manager do?

   • AConduct a cost-benefit analysis of the model's implementation.
   • BCheck if the training data represents real-world scenarios.
   • CEvaluate the ethical implications of operationalizing the model.
   • DDetermine the scalability for future expansions.

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   Answer: B

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6. Question 186 · 192 in bank

   An AI project team in the healthcare sector is tasked with developing a predictive model for patient readmissions. They need to gather required data from various sources, including electronic health records (EHR), patient surveys, and clinical notes. The team is evaluating which technique will help to ensure the data is comprehensive and reliable. What is an effective technique the project team should use?

   • AImplementing data augmentation techniques to enhance dataset diversity
   • BUsing federated learning to train models across decentralized data sources without centralizing data
   • CUtilizing real-time data integration from EHR systems to ensure data freshness
   • DEmploying natural language processing (NLP) to extract relevant data from clinical notes

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   Answer: D

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7. Question 187 · 192 in bank

   A project team is preparing to move to the next phase of implementation with an AI system. However, they are unsure about the system’s transparency requirements. Which next step should the project manager prioritize?

   • AHolding a stakeholder meeting to discuss transparency needs
   • BCreating a user-friendly interface for transparency reporting
   • CDeveloping a detailed transparency documentation protocol
   • DReviewing existing transparency standards and guidelines

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   Answer: D

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8. Question 188 · 192 in bank

   A project manager at an IT services company needs to present a business case for adopting an AI-driven cost-benefit analysis tool. The objective is to demonstrate the tool’s value compared to existing processes. Which method will meet the project manager’s objective?

   • AUsing a decision tree to simulate various cost scenarios
   • BImplementing a fuzzy logic system for preliminary evaluations
   • CCreating a detailed heuristic-based comparison report
   • DDeveloping a proof of concept to highlight efficiency gains

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   Answer: D

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9. Question 189 · 192 in bank

   A healthcare organization is evaluating the operationalization of an AI-powered diagnostic tool. The tool is expected to enhance diagnostic accuracy and speed, thereby reducing patient wait times. The project manager needs to prepare a business case to present to the board of directors. Which method will help to ensure a robust business case?

   • ADeveloping a predictive analytics model
   • BPerforming a cost-effectiveness study
   • CDrafting a detailed implementation roadmap
   • DConducting a stakeholder impact analysis

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   Answer: B

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10. Question 190 · 192 in bank

    A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding. What is a necessary initial task?

    • AEvaluating the accuracy of current fraud detection methods
    • BIdentifying the primary stakeholders and their needs
    • CAssessing the ethical implications of using AI for fraud detection
    • DDetermining the scalability of AI solutions for transaction monitoring

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    Answer: B

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CPMAI practice, question 181. 192 questions available.