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PMI CPMAI Exam Syllabus Topics:

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

1. A fraud detection system must minimize false positives to avoid incorrectly flagging legitimate transactions. The team is selecting evaluation metrics to optimize model performance accordingly. Which metric should be prioritized in this scenario?

A) Accuracy
B) Precision
C) F1-score
D) Recall

2. A project manager is tasked with overseeing the implementation of an AI model for financial forecasting. They need to ensure the model's predictions are reliable. If the model's error rate exceeds acceptable boundaries, what will occur next?

A) Reduced need for human oversight since additional AI models will be used
B) Operationalization delays due to model retraining
C) Higher than expected computational costs
D) Increased stakeholder confidence that the project team will correct

3. An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions. What is the best approach for handling this project?

A) Run it as one project, combining teams, data requirements, and project needs
B) Run each pattern in isolation, with separate teams
C) Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
D) Run it as a hybrid approach and some phases are run separately while other phases are combined together

4. A government agency is developing an AI system to predict infrastructure failures. The data team needs to ensure that the dataset includes historical maintenance records, environmental data, and equipment usage logs. However, they are encountering issues with data from multiple sources being in different formats. Which two methods should be applied to meet the data team's objectives? (Choose two.)

A) Adopting a hybrid data preparation pipeline
B) Applying a diversified data ingestion model
C) Utilizing a multiformat data integration tool
D) Depending only on manual entry for format standardization
E) Implementing a data normalization process

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

Solutions: