PMI-CPMAI practice materials Questions Answers

Exam Code:
PMI-CPMAI
Exam Name:
PMI Certified Professional in Managing AI Exam
Last Update:
Jun 01,2026

102 Questions Answers Verified by Experts!


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PMI-CPMAI Questions for PMI-CPMAI Certificatio Certification Exam 2026

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Page: 1 / 21
Total Questions: 102

Questions & Answers PDF

• Question 1

  

  A healthcare provider had physicians review a potential diagnostic AI application. During their final review, the project team, along with the physicians, discovered that the AI model exhibits a higher than acceptable false-positive rate.Before making the go/no-go AI decision, which next step should be performed by the team?

  • Adjust the hyperparameters for better generalization
  • Reevaluate the business objectives and outcomes
  • Increase the training data volume
  • Focus on the model's ethical implications

  Reveal Answer Answer: B Next Question

• Question 2

  

  A logistics company wants to optimize its delivery routes while adapting to real-time traffic conditions.Which AI pattern or patterns meet these goals?

  • Automation and rule-based systems
  • Conversational
  • Predictive analytics

  Reveal Answer Answer: D Next Question

• Question 3

  

  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?

  • Implement a multi-tiered DCA framework
  • Establish a comprehensive DPMS protocol
  • Set up a continuous CUE review process
  • Develop a detailed privacy impact assessment (PIA)

  Reveal Answer Answer: D Next Question

• Question 4

  

  A healthcare provider plans to deploy an AI system to predict patient readmissions. The project manager needs to conduct a risk assessment to ensure patient safety and data integrity.What is an effective method to help ensure the AI system adheres to ethical standards?Using an explainability frameworkConducting a stakeholder impact analysisPerforming continuous monitoring and auditingImplementing a data encryption protocol

  Reveal Answer Answer: A Next Question

• Question 5

  

  A project team at an IT services company is developing an AI solution to enhance network security. They need to define the success criteria to help ensure the project achieves its desired outcomes.What should the project manager do to define the relevant success criteria?

  • Use key performance indicators (KPIs) for incident response times and threat detection rates
  • Conduct a SWOT (strengths, weaknesses, opportunities, threats) analysis of the network infrastructure
  • Perform a detailed cost-benefit analysis of security investments

  Reveal Answer Answer: B Next Question

• Question 6

  

  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?

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

  Reveal Answer Answer: D Next Question

• Question 7

  

  During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates.Which action will identify the cause of the performance decline?

  • Reviewing recent changes made to the model's architecture and parameters
  • Checking for issues in the data preprocessing pipeline that may have introduced noise
  • Increasing the amount of regularization to prevent overfitting
  • Analyzing the distribution of real-world data for potential shifts

  Reveal Answer Answer: D Next Question

• Question 8

  

  A telecommunications company's AI project team is operationalizing a predictive maintenance model for network equipment. They need to meticulously manage the model's configuration to avoid potential failures.Which method will help the model configuration remain consistent and avoid drift?

  • Utilizing version control systems
  • Performing regular manual inspections
  • Employing frequent algorithm operationalizations

  Reveal Answer Answer: B Next Question

• Question 9

  

  In an IT services firm, the AI project team is tasked with developing a virtual assistant to support customer service operations. The assistant must integrate seamlessly with existing customer relationship management (CRM) systems and handle a variety of customer queries.Which necessary initial task should the project manager take?

  • Conducting a comprehensive data audit
  • Designing a custom AI algorithm that enhances the chatbot's capacity
  • Procuring advanced natural language processing (NLP) libraries

  Reveal Answer Answer: B Next Question

• Question 10

  

  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?

  • Performing demographic analysis and stratifying patient data
  • Analyzing data variance and ensuring balanced sampling
  • Conducting a cross-sectional study on data diversity

  Reveal Answer Answer: B Next Question

Page: 1 / 21
Total Questions: 102

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