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

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PMI CPMAI Exam Syllabus Topics:

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

Question #1
An aerospace company is in the data preparation phase of an AI project. The project team must verify data quality to make a go/no-go decision for model development. They need to integrate data from several sensors with different sampling rates. What is an effective method that helps to ensure data consistency?

A. Applying a real-time data synchronization protocol
B. Aggregating sensor data
C. Developing a custom data integration framework
D. Utilizing data interpolation methods

Question #2
Your team is planning an AI enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions. What stage of CPMAI is the team currently working on?

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

Question #3
A project team has a modest dataset and is concerned that a single train-test split may produce an unreliable performance estimate.
What approach should the project manager recommend?

A. Use the full dataset for both training and evaluation
B. Apply k-fold cross-validation
C. Repeat training with different random seeds
D. Increase the proportion of data allocated to testing

Question #4
A manufacturing company is operationalizing an AI-driven quality control system. The project manager needs to ensure data privacy and regulatory compliance due to the critical nature in protecting sensitive operational data. What is an effective technique that addresses these requirements?

A. Utilizing a secure multiparty computation framework
B. Using a hybrid encryption scheme for storage
C. Implementing a zero-trust architecture for network security
D. Applying data anonymization to the dataset

Question #5
An aerospace company is developing an AI tool for anomaly detection in aircraft engines.
Identifying data sources and their locations is critical. Which method will help to ensure the project meets these objectives?

A. Adopting a data life cycle management tool
B. Establishing a metadata management system
C. Implementing a continuous data integration process
D. Using AI to automate data tagging

Solutions: