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

2. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

A) Have the right culture for AI
B) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non-digital processes
C) Invest in technology solutions to solve the problem
D) Start with basic automation and introduce AI only as needed

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

4. You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

A) Neural Network
B) K-means
C) Hyperpersonalization
D) K Nearest Neighbor

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

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

Solutions: