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

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

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) Hyperpersonalization
D) Neural Network

3. Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

A) Transparent AI
B) Governed AI
C) Explainable AI
D) Responsible AI

4. Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?

A) Iterative modeling and evaluation
B) Automatic model selection
C) Automatic hyperparameter tuning
D) Automatic model assessment
E) Automatic algorithm selection

5. During CPMAI Phase II, it's important to not only understand the sources of your data but also what data is required for training as well as identifying the features that are required.
When looking to gather data, what approach is best when determining how much data you need?

A) The "Goldilocks" approach
B) The "less is better" approach
C) The "more is better" approach
D) There is no correct approach

Solutions: