← Back to exam page

Free CPMAI – Pmi CPMAI Practice Test Question

Loading demo links...

Showing 16–18 of 19 questions

Question 16 (Topic 1)

A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?

Select an option, then click Submit answer.

  • ○ Implementing alternative approaches to process data differently
  • ○ Applying a visualization generator to create data flow diagrams
  • ○ Utilizing a prompt pattern to guide the AI model’s training process
  • ○ Using a fact checklist to systematically verify data sources
Question 17 (Topic 1)

A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?

Select an option, then click Submit answer.

  • ○ Evaluating expertise with existing data architectures and their ability to optimize databases
  • ○ Conducting interviews to assess their knowledge in anomaly detection
  • ○ Assessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
  • ○ Examining their expertise in neural network calibration and hyperparameter tuning
Question 18 (Topic 1)

A project manager is preparing a final report on an AI project. The report must highlight lessons learned, focusing on ethical concerns and compliance with data regulations. In addition, the team has identified multiple ethical issues related to data privacy during the project. What is an effective approach to address the situation for future AI projects?

Select an option, then click Submit answer.

  • ○ Develop a transparent data compliance usage policy.
  • ○ Increase the frequency of compliance audits.
  • ○ Provide additional training on ethical AI practices.
  • ○ Implement a robust ethical data governance framework.