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PMI CPMAI Exam Syllabus Topics:

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

1. During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates. Which action will identify the cause of the performance decline?

A) Checking for issues in the data preprocessing pipeline that may have introduced noise
B) Analyzing the distribution of real world data for potential shifts
C) Reviewing recent changes made to the model's architecture and parameters
D) Increasing the amount of regularization to prevent overfitting

2. When building your model, you need to make sure you're not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective. At what phase of CPMAI is this most appropriate to do this?

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

3. An AI project team is in the process of designing a security plan. The team needs to consider various aspects such as transparency, explainability, and compliance with data regulations.
Which action should the project manager take?

A) Rely solely on encryption without considering other security aspects.
B) Ensure the AI system's decisions are transparent and explainable.
C) Focus only on technical security measures, ignoring transparency.
D) Assume compliance without reviewing current regulations.

4. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

A) Start with basic automation and introduce AI only as needed
B) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non digital processes
C) Have the right culture for AI
D) Invest in technology solutions to solve the problem

5. A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project. What's wrong with this suggestion?

A) Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
B) Pipelines are model operationalization need specific.
C) Pipelines are pattern and model need specific.
D) There is no issue. Pipelines can be reused as needed between projects

Solutions: