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

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PMI CPMAI Exam Syllabus Topics:

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

1. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

A) Binary (or Binomial) Classification
B) Clustering
C) Regression
D) Multiclass Classification

2. An AI project team has prepared the data and is ready to proceed with model development.
Which action should the project manager perform next?

A) Prepare a report on the model's scalability.
B) Document the performance metrics for the model.
C) Ensure go/no-go questions have well-defined answers.
D) Conduct a final assessment of the data quality.

3. A healthcare organization is evaluating the operationalization of an AI-powered diagnostic tool.
The tool is expected to enhance diagnostic accuracy and speed, thereby reducing patient wait times. The project manager needs to prepare a business case to present to the board of directors. Which method will help to ensure a robust business case?

A) Developing a predictive analytics model
B) Performing a cost-effectiveness study
C) Conducting a stakeholder impact analysis
D) Drafting a detailed implementation roadmap

4. An inexperienced team is training a neural network model on a desktop computer which is taking a significant amount of time. Which recommended approach will increase the speed of the model training time?

A) Divide the dataset into multiple smaller datasets and train the model on each dataset over a desktop computer.
B) Train the model on graphics processing units (GPUs).
C) Train the model over multiple desktop computers.
D) Utilize a contractor to provide the model training portion.

5. An aerospace company is evaluating whether their sensor data meets the requirements for an AI- based predictive maintenance system. The project team needs to ensure that the data's accuracy, resolution, and timeliness are adequate to predict equipment failures. Which method addresses the requirements?

A) Implementing a data governance framework to ensure compliance
B) Performing a data quality assessment focusing on precision and latency
C) Evaluating the data schema and integrating additional data sources
D) Analyzing data completeness and conducting feature engineering

Solutions: