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PMI CPMAI Exam Syllabus Topics:

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

Question 1

A logistics company is operationalizing an AI system to improve delivery times. The project team needs to identify performance constraints that may impact the AI solution. Which method should the project manager use to meet the team's objective?

A. Implementing advanced data visualization tools
B. Training employees on AI ethics
C. Conducting a preliminary feasibility study
D. Benchmarking against competitors

Question 2

Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same. What is most likely happening here?

A. Data privacy issues leading to data sharing concerns
B. Nothing is wrong, algorithmic decisions will never be 100%
C. Biased data sets leading to algorithmic discrimination
D. Generative AI models hallucinating data results

Question 3

A company is evaluating whether to implement AI for a project. They have defined their business objectives and determined the AI capability they want to use. Which action will enable the project manager to move forward with the project?

A. Conducting a data quality assessment
B. Conducting a go/no-go assessment
C. Implementing a preliminary version of the AI solution
D. Identifying the contingency procedures

Question 4

In a complex healthcare project, a provider plans to implement AI for patient data analysis to improve diagnostic accuracy. The project involves the need for interoperability between the AI systems and existing healthcare databases. These databases contain sensitive patient information. The requirements involve strict ethical and legal regulations in various countries.
Which critical step must be performed?

A. Implementing privacy impact assessments
B. Creating a regulatory impact report
C. Maintaining high prediction accuracy
D. Performing a detailed financial risk analysis

Question 5

A supervised learning project requires 50,000 labeled images. The subject matter is highly specialized, and the organization has three qualified domain experts available part time.
What is the most significant project risk the manager should plan for?

A. Model training will require additional computing capacity
B. Labeling throughput will constrain the project schedule
C. The images will require format standardization
D. Domain experts may disagree with the model's predictions

Solutions: