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PMI CPMAI Exam Syllabus Topics:

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

Question 1

In an aerospace manufacturing project, engineers are preparing data to train an AI system for predictive maintenance. They need to transform the data from multiple sensors and ensure it is consistent and accurate before building the model. What should the project manager do to handle the inconsistencies?

A. Identify and reconcile conflicting data points.
B. Implement a validation protocol for sensor data.
C. Enhance the current data with additional sources.
D. Use data augmentation techniques to fill the gaps.

Question 2

Enhancing and cleaning data is an important action during which phase of CPMAI?

A. Phase II
B. Phase I
C. Phase III
D. Phase VI
E. Phase IV
F. Phase V

Question 3

An AI model is frequently retrained with new data to improve performance. However, stakeholders report inconsistent predictions across releases, causing confusion and reduced trust in the system. What risk is most likely occurring in this situation?

A. Underfitting
B. Model instability
C. Bias elimination
D. Data leakage

Question 4

You're running an image recognition project and realize that you do not have enough data of a certain type of vehicle. What is the best course of action to get the additional labeled data you need?

A. Perform Data Transformation & Multiplication
B. Purchase the data from a third party
C. Perform Data anonymization
D. Perform Data Sampling

Question 5

A team preparing data for a churn model transforms raw timestamps into derived attributes such as days since last purchase and purchase frequency over 90 days.
What activity is being performed?

A. Data augmentation
B. Feature engineering
C. Dimensionality reduction
D. Data normalization

Solutions: