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

1. Senior management has tasked your group to analyze a data set to uncover insights into the dat

A) Data Integration
B) Data preparation
C) Data Mining or Data Analytics
D) Data Governance
E) What is the best approach to use to do this?

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

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

4. Using machine learning and other cognitive approaches to understand how to take past/existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior/interactions/data is a core part to which pattern(s) of AI?

A) Predictive Analytics & Decision Support and Patterns and Anomalies
B) Recognition Pattern
C) Predictive Analytics & Decision Support
D) Goal Driven Systems

5. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?

A) All would work equally well
B) Supervised Learning
C) Reinforcement Learning
D) Unsupervised Learning

Solutions: