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PMI CPMAI Exam Syllabus Topics:

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. Your team is working on an image recognition project, have collected the appropriate data for the project, and have picked a neural network algorithm. They are now ready to train their model. In which phase of CPMAI is this done?

A) Phase VI
B) Phase V
C) Phase III
D) Phase IV
E) Phase II
F) Phase I

2. 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?

A) Operationalizing a data catalog to maintain metadata standards
B) Implementing data augmentation techniques to fill missing values
C) Setting up a continuous integration pipeline for real-time data validation
D) Using data profiling tools to assess data completeness

3. 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?

A) Emphasizing the simplicity and reliability of noncognitive solutions
B) Focusing on the novelty and technological AI appeal
C) Conducting a cost-benefit analysis comparing AI and noncognitive solutions
D) Relying only on industry trends favoring AI adoption

4. At the start of an AI initiative, stakeholders are unclear about desired outcomes and success criteria. The team risks building a technically sound model that fails to deliver business value.
Which lifecycle phase should address this issue?

A) Deployment
B) Monitoring
C) Model optimization
D) Problem framing

5. An AI project team needs to consider compliance with data regulations and explainability standards as requirements for a new AI solution. At what point in the project should the requirements be approached?

A) As part of the final testing phase
B) As optional guidelines based on project scope
C) As part of the data preparation phase
D) As part of the business understanding phase

Solutions: