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

2. Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

A) Descriptive Analytics
B) Projective Analytics
C) Diagnostic Analytics
D) Predictive Analytics

3. You have an Anomaly Detection project you're working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?

A) K-Means Clustering
B) Hidden Markov Model
C) Decision Tree
D) Neural Network

4. 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 discovery
C) Model operations
D) Model Governance

5. You have been tasked at your organization to manage a large language model (LLM) project.
Identify what LLMs are useful for. (Select all that apply.)

A) Improve search quality
B) Text summarization
C) Machine Translation
D) Classify and categorize content
E) Process automation
F) Code generation

Solutions: