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PMI CPMAI Exam Syllabus Topics:

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

1. During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates. Which action will identify the cause of the performance decline?

A) Reviewing recent changes made to the model's architecture and parameters
B) Increasing the amount of regularization to prevent overfitting
C) Analyzing the distribution of real world data for potential shifts
D) Checking for issues in the data preprocessing pipeline that may have introduced noise

2. A data science team has produced working models through a series of ad hoc notebooks with hard-coded file paths and manually executed preprocessing steps.
What risk does this create for operationalization?

A) The data will not comply with retention policies
B) Accumulated technical debt prevents reliable, reproducible deployment
C) The team will be unable to explain model predictions
D) The models will not achieve sufficient accuracy

3. During CPMAI Phase II of your project, your team is going through their data collection needs.
One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

A) Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.
B) Evaluate your data and use only what you have and build all models in house.
C) Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.
D) Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those

4. A telecommunications company is adopting an AI-based customer service chatbot. They are concerned about potential quality issues affecting customer satisfaction. What should the project manager do?

A) Initiate a beta testing phase with a small group of customers
B) Set up a dedicated team to monitor and address quality issues
C) Conduct regular performance reviews and updates based on customer feedback
D) Develop a comprehensive quality assurance plan for the chatbot

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) You need to make sure the AI Go/No Go questions have been addressed
C) Model Evaluation requires continuous model evaluation, retraining, and operationalization
D) Team members should not be able to move to new projects until senior management signs off

Solutions: