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PMI CPMAI Exam Syllabus Topics:

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

1. The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive. To keep your organization competitive, you need to:

A) Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
B) Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
C) Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.
D) Make sure all senior leadership is data literate, understands the Vs of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.

2. You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI / ML Project?

A) Determine whether the project has a cognitive technology component and meets a short-term need.
B) Evaluate whether the solution can be done with automation.
C) Determine the long-term need for the organization and build the project to that long-term goal.
D) Determine if the project fits within the scope, budget, and timeline set out.

3. 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) Increasing the amount of regularization to prevent overfitting
D) Reviewing recent changes made to the model's architecture and parameters

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

5. A manufacturing company is considering implementing an AI solution to optimize its supply chain.
The project manager needs to determine if AI is necessary for this task. Which action will address the requirements?

A) Assessing the cost-benefit ratio of an AI implementation for the supply chain
B) Identifying noncognitive versus AI methods used in supply chain management
C) Determining the specific cognitive tasks that Al can perform within the supply chain
D) Evaluating the scalability of AI solutions for supply chain optimization

Solutions: