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

1. Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked to discover these potential patterns and structures within this data.
Which type of machine learning approach would be most appropriate to pick for this problem?

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

2. Which of the following best describes the technical definition of Machine Learning?

A) The application of pre-defined rules and algorithms to solve complex problems.
B) A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
C) An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.
D) The use of computing technology to enable machines to gain cognitive intelligence.

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

4. During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A) Algorithm Selection
B) Model Selection
C) Model training
D) Model tuning

5. 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) Stream learning
C) Real-time prediction
D) Batch prediction

Solutions: