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PMI CPMAI Exam Syllabus Topics:

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

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

2. Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?

A) Automatic hyperparameter tuning
B) Automatic algorithm selection
C) Automatic model assessment
D) Automatic model selection
E) Iterative modeling and evaluation

3. A project manager is evaluating whether an AI model is ready for operationalization. The project team has ensured the model meets accuracy and performance requirements and has conducted extensive testing. However, uncertainty about the model's operationalization in different environments and its compliance with regulatory standards still exists. What should the team do next?

A) Reassess the project's data preparation phase.
B) Evaluate the model's adaptability to diverse conditions.
C) Consider retraining the model for better performance.
D) Implement additional noncognitive solutions.

4. Before fully deploying a new recommendation algorithm, the team wants to evaluate its performance against the existing system using real users. The goal is to measure impact on engagement and business metrics. What technique should be used?

A) Feature engineering
B) Data cleaning
C) Cross-validation
D) A/B testing

5. Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization approach?

A) Batch prediction
B) Real-time prediction
C) Stream learning
D) Web service / Microservice

Solutions: