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

1. One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the data collection efforts.
What course of action might make the issue worse?

A) See if you can purchase the data needed to continue with the project
B) See if you can adjust the scope of this interaction to continue with the project
C) See if you already have access to enough data to continue with the project
D) See if you can expand the scope to continue with the project

2. Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:

A) Decide if it's probabilistic or deterministic patterns. If it's deterministic then go with the AI project.
B) Decide if it's a statistics pattern. If it's statistical then go with the AI project.
C) See if simple rules work. If yes, then pick the right AI solution to solve the problem.
D) Decide if it's probabilistic or deterministic patterns. If it's probabilistic then go with the AI project.

3. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

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

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

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

5. Your team is testing the NLP model they just created to make sure it's performing as expected.
Some of your team members want to move this model to production and move to the next iteration.
What's wrong with this workflow?

A) Nothing is wrong with this workflow. You can move to the next iteration
B) Team members should not be able to move to new projects until senior management signs off
C) Model Evaluation requires continuous model evaluation, retraining, and operationalization
D) You need to make sure the AI Go/No Go questions have been addressed

Solutions: