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

1. For AI projects the code and systems don't matter as much as the dat

A) Collect enormous amounts of data - the more data the better.
B) Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
C) Understanding which algorithms are best for your data needs.
D) In fact, big data is what's powering much of this latest wave of AI. What's most important for your company to consider around data?
E) Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.

2. A team is retraining a model and creating a new version of that model. What's the most important thing for the team to have in place before doing this?

A) Data operations
B) Model operations
C) Model discovery
D) Model Governance

3. You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season.
What seems to be taking place?

A) Data Drift
B) Lack of stakeholder support
C) Model Drift
D) An incomplete milestone list

4. Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
What role would be most suited for this?

A) Project Manager
B) Data Scientist
C) Citizen Data Scientist
D) Data Engineer

5. 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 Drift
B) Model reevaluation
C) Model retraining
D) Model Operationalization

Solutions: