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

1. Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Select all that apply.)

A) Key Performance Indicators (KPIs)
B) Data source identification
C) Continuous System monitoring
D) Vendor procurement methods
E) ROI determination
F) Human chain of accountability
G) Algorithm selection
H) AI System testing requirements

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

3. Your team is using a neural network algorithm to generate a Machine Learning Model. What specific artifacts need to be included? (Select all that apply.)

A) The algorithm code
B) Bias-variance tradeoff
C) Supporting training data
D) Hyperparameter settings

4. An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient.
Which action should occur?

A) Proceed with development despite data issues
B) Verify data quality and stakeholder alignment
C) Focus solely on technology upgrades, not data
D) Launch the AI project without further assessment

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

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

Solutions: