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PMI CPMAI Exam Syllabus Topics:

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

1. An AI project team needs to consider compliance with data regulations and explainability standards as requirements for a new AI solution. At what point in the project should the requirements be approached?

A) As part of the business understanding phase
B) As optional guidelines based on project scope
C) As part of the final testing phase
D) As part of the data preparation phase

2. An energy technology company is in the data preparation phase of developing an AI model to predict equipment maintenance needs. The project manager is deciding how to handle data from multiple formats. What is an effective technique the project manager should use?

A) Data warehousing
B) Schema mapping
C) Data consolidation
D) Cross-validation

3. An organization is planning their digital transformation initiatives by building an AI solution to focus on data-collection needs. The goal is to reduce the manual handling of data. Which approach should be prioritized to achieve the objective?

A) Upgrading cloud storage solutions for better data management
B) Enhancing the current database infrastructure to handle larger volumes of data
C) Outsourcing data-processing tasks to third-party vendors
D) Implementing intelligent systems that can autonomously process and analyze data

4. You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

A) If this data is not needed, use Data anonymization techniques to remove it before feeding to models
B) Store the data in a data warehouse
C) Implement a new data privacy policy
D) Use noise reduction techniques to reduce all forms of data noise

5. During the transition to an AI solution, the project manager discovers that certain tasks may not require cognitive Al 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) Assessing traditional task complexity
C) Proceeding with intelligent functionalities
D) Utilizing traditional automation solutions

Solutions: