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PMI CPMAI Exam Syllabus Topics:

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

1. The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

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

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

3. A company is using an AI model to screen job applications. Over time, the project team notices that the model disproportionately rejects applications from certain educational institutions. What is the first step the project manager should take?

A) Adjust the model's decision threshold for applications from these institutions.
B) Incorporate a fairness constraint into the model's objective function.
C) Retrain the model with equal representation from all institutions.
D) Analyze the historical data for inherent biases against these institutions.

4. One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the data collection efforts. What course of action might make the issue worse?

A) See if you can purchase the data needed to continue with the project
B) See if you can adjust the scope of this interaction to continue with the project
C) See if you already have access to enough data to continue with the project
D) See if you can expand the scope to continue with the project

5. 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?

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

Solutions: