Online Access Free PMI-CPMAI Practice Test

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

During the transition to an AI solution, the project manager discovers that certain tasks may not require cognitive AI capabilities and can be handled through traditional automation methods. As a result, the project team starts segregating tasks based on their cognitive requirements.
What should the team consider?

• A.Applying AI capabilities for noncognitive tasks
• B.Proceeding with intelligent functionalities
• C.Assessing traditional task complexity
• D.Utilizing traditional automation solutions

A company ' s leadership team has requested insights into the AI model ' s ability to support decision-making processes without requiring them to understand complex technical details.
Which step should the project manager take?

• A.Explain the role of neural network architectures in prediction accuracy
• B.Describe the model ' s backpropagation and gradient descent optimization
• C.Discuss how ensemble methods improve the model ' s robustness
• D.Demonstrate how the model ' s output can be integrated and used in end-user systems

A project manager is preparing a final report on an AI project. The report must highlight lessons learned, focusing on ethical concerns and compliance with data regulations. In addition, the team has identified multiple ethical issues related to data privacy during the project.
What is an effective approach to address the situation for future AI projects?

• A.Provide additional training on ethical AI practices.
• B.Implement a robust ethical data governance framework.
• C.Develop a transparent data compliance usage policy.
• D.Increase the frequency of compliance audits.

A company needs to launch an AI application quickly to be the first to the market. The project team has decided to use pretrained models for their current AI project iteration.
What is a key result of leveraging pretrained models?

• A.The project can face unexpected scalability challenges.
• B.The custom project development time can increase due to adjustments.
• C.The team can see a reduction in the overall project timeline.
• D.The team can encounter compatibility issues with existing systems.