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

1. Clean, well-labeled datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A) Split by patterned subsampling
B) Split by alphabetical order
C) Use the same data for all sets
D) Split by random subsampling

2. You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?

A) Autonomous patterns and process automation
B) Generative AI solutions for content generation
C) Image and object detection and recognition systems
D) Decision tree and Random Forest approaches

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

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

4. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Batch prediction
B) Web service / Microservice
C) Real-time prediction
D) Stream learning

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

Solutions: