PMI CPMAI

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

1. Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
What is the best course of action to take with this data?

A) Data selection and attribute pruning to reduce overall size and data complexity.
B) Data integration focused on reducing the number of data sources.
C) Careful algorithm selection that reduces the need for data.
D) Data Deduping to reduce overall size and data complexity.

2. As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

A) Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
B) Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
C) Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States
D) You're too small of an organization to be worried about laws at the moment

3. Your organization wants to use Generative AI. What are examples of when Generative AI can and should be used? (Select all that apply.)

A) Programmatic automated content generation
B) Human Augmentation
C) Explainable Decision-support systems
D) Virtual Avatars and Characters
E) Data Augmentation for Training
F) Content Generation

4. During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A) Algorithm Selection
B) Model tuning
C) Model Selection
D) Model training

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

Solutions: