CPMAI practice questions 131–140

1. Question 131 · 192 in bank

   An organization is planning their digital transformation initiatives by building an AI solution to focus on data-collection needs. The goal is to reduce the manual handling of data. Which approach should be prioritized to achieve the objective?

   • AUpgrading cloud storage solutions for better data management
   • BEnhancing the current database infrastructure to handle larger volumes of data
   • COutsourcing data-processing tasks to third-party vendors
   • DImplementing intelligent systems that can autonomously process and analyze data

   Show answer

   Answer: D

   Next question

2. Question 132 · 192 in bank

   An AI project team has prepared the data and is ready to proceed with model development. Which action should the project manager perform next?

   • ADocument the performance metrics for the model.
   • BEnsure go/no-go questions have well-defined answers.
   • CConduct a final assessment of the data quality.
   • DPrepare a report on the model’s scalability.

   Show answer

   Answer: C

   Next question

3. Question 133 · 192 in bank

   A healthcare provider is operationalizing an AI tool to assist in diagnostic processes. To ensure robust model governance, they need to address data privacy and ethical considerations. What should the project manager do?

   • ASet up a continuous CUE review process.
   • BDevelop a detailed privacy impact assessment (PIA).
   • CImplement a multi-tiered DCA framework.
   • DEstablish a comprehensive DPMS protocol.

   Show answer

   Answer: B

   Next question

4. Question 134 · 192 in bank

   A consulting firm is determining the feasibility of an AI project. They need to justify the use of AI over noncognitive solutions. The project manager has listed potential noncognitive alternatives. What is an effective method to support an AI approach?

   • ARelying only on industry trends favoring AI adoption
   • BConducting a cost-benefit analysis comparing AI and noncognitive solutions
   • CEmphasizing the simplicity and reliability of noncognitive solutions
   • DFocusing on the novelty and technological AI appeal

   Show answer

   Answer: B

   Next question

5. Question 135 · 192 in bank

   A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development. What is the first step the project team should complete?

   • AVerify the availability and quality of the required data.
   • BAssess the team's current AI and data expertise.
   • CIdentify the gaps and procure the needed tools.
   • DOutline the business objectives for the AI project.

   Show answer

   Answer: D

   Next question

6. Question 136 · 192 in bank

   An AI project for a financial technology client is at risk due to potential inaccuracies in data aggregation. What is the first step the project manager should take to mitigate the risk?

   • ACreate a data visualization.
   • BEvaluate the data freshness and relevance.
   • CDelete the suspicious data manually.
   • DUnderstand the data characteristics.

   Show answer

   Answer: D

   Next question

7. Question 137 · 192 in bank

   A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?

   • ASetting up a continuous integration pipeline for real-time data validation
   • BUsing data profiling tools to assess data completeness
   • CImplementing data augmentation techniques to fill missing values
   • DOperationalizing a data catalog to maintain metadata standards

   Show answer

   Answer: D

   Next question

8. Question 138 · 192 in bank

   An aerospace company is integrating AI for predictive maintenance. The project manager is concerned about potential delays due to external dependencies. Which initial step should the project manager take?

   • AEstablish contingency plans
   • BEngage with multiple suppliers
   • CImplement just-in-time inventory
   • DIncrease resource allocation

   Show answer

   Answer: A

   Next question

9. Question 139 · 192 in bank

   A project team at a healthcare provider is determining whether their patient records are adequate for an AI diagnostic tool. They need to validate that the data covers a broad spectrum of conditions and demographics. What is an effective method to assure data suitability?

   • AImplementing a longitudinal data-gathering approach
   • BConducting a cross-sectional study on data diversity
   • CAnalyzing data variance and ensuring balanced sampling
   • DPerforming demographic analysis and stratifying patient data

   Show answer

   Answer: D

   Next question

10. Question 140 · 192 in bank

    A finance company is planning an AI project to improve fraud detection. The project manager has identified multiple cognitive patterns that can be used. Which method will narrow the project scope?

    • AImplementing all identified patterns in parallel to test their effectiveness
    • BComparing cognitive patterns against noncognitive requirements
    • CPrioritizing patterns based on their potential impact and complexity
    • DRotating through cognitive and non-cognitive patterns sequentially in short iterations

    Show answer

    Answer: C

    Next question

Keyboard:J Kmove between questionsA–Dselect an answerRshow or hide the answer← →change page

CPMAI practice, question 131. 192 questions available.