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

1. Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

A) Binary (or Binomial) Classification
B) Clustering
C) Regression
D) Multiclass Classification

2. Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment is key to AI Project Success. As the manager of this project, you need to make sure you have correct staffing needs.
What's the most critical role to staff for in the Big Data / Data Engineering Environment?

A) Data Scientists
B) All roles are critical to staff in the Four different AI Tech environments
C) Data Engineering
D) Senior management
E) Data Engineering and Data Scientists

3. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The quality of the data you collect
B) The makeup of your data team
C) The location/source of your data collection
D) The volume of the data you collect

4. 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) Diagnostic Analytics
C) Projective Analytics
D) Predictive Analytics

5. You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs.
Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

A) Make use of this data by having employees pose in the positions required
B) Make use of data from different departments
C) Make use of this data from surveillance footage
D) Make use of Synthetic Training Data

Solutions: