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PMI CPMAI Exam Syllabus Topics:

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

1. A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?

A) Examining their expertise in neural network calibration and hyperparameter tuning
B) Conducting interviews to assess their knowledge in anomaly detection
C) Assessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
D) Evaluating expertise with existing data architectures and their ability to optimize databases

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

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) Team members should not be able to move to new projects until senior management signs off
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) Nothing is wrong with this workflow. You can move to the next iteration

4. A project manager is tasked with ensuring the transparency of an AI project's data selection process. The project involves integrating multiple data sources from various departments. What should the project manager do?

A) Implement advanced data encryption techniques.
B) Establish a cross-departmental data sharing agreement.
C) Create a comprehensive data catalog.
D) Develop a data visualization dashboard.

5. A company needs to launch an AI application quickly to be the first to the market. The project team has decided to use pretrained models for their current AI project iteration. What is a key result of leveraging pretrained models?

A) The project can face unexpected scalability challenges.
B) The team can encounter compatibility issues with existing systems.
C) The custom project development time can increase due to adjustments.
D) The team can see a reduction in the overall project timeline.

Solutions: