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

1. Enhancing and cleaning data is an important action during which phase of CPMAI?

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

2. A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.
What's the next best course of action?

A) Bring in data centric methodology best practices to get this project back on track
B) Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
C) Hire an entirely new team making sure there is at least one data scientist on this new team
D) Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices

3. You're creating an AI-enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you're addressing? (Select all that apply.)

A) Data Quality Issues
B) Change Management Issues
C) Privacy Risks
D) Data Quantity Issues
E) Security Risks
F) Business Risks
G) Data Sharing challenges

4. Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your workflow pipeline?

A) Model reevaluation
B) Model retraining
C) Model Drift
D) Model Operationalization

5. An insurance company is selecting an AI approach to automate simple claim approvals for low- risk cases. The organization wants the system to take actions with minimal human intervention based on predefined policies. Which AI capability best fits?

A) Hyperpersonalization
B) Predictive analytics
C) Autonomous systems
D) Conversational

Solutions: