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PMI CPMAI Exam Syllabus Topics:

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

1. Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be. What should the project manager do?

A) Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
B) Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
C) Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
D) Move forward without determining which patter of AI this falls under.

2. A telecommunications company is preparing data for an AI tool. The project team needs to ensure the data is in the right shape and format for model training. In addition, they are working with a mix of structured and unstructured data. Which method will address the project team's objectives?

A) Separating structured and unstructured data into different databases
B) Employing a data transformation tool to standardize formats
C) Converting unstructured data into structured formats
D) Using a hybrid storage system for both data types

3. A manufacturing firm is planning to implement a network of intelligent machines to increase efficiency on the assembly line. The machines are equipped with advanced AI capabilities including precision assembly, quality control for predictive maintenance, and real-time data analysis. The intelligent machines should enhance operational efficiency, reduce downtime, and improve product quality. There needs to be seamless communication between the machines and existing systems, compliance with industry regulations, and a managed transition for the workforce. What is a beneficial outcome of using intelligent machines in this environment?

A) Over-reliance on technology leading to skill degradation
B) Higher investment costs without immediate returns
C) Scalability and flexibility in production
D) Increased vulnerability to cybersecurity threats

4. An AI project team with a manufacturing company needs to ensure data integrity before moving to model development. They discovered some data inconsistencies due to manual entry errors.
What is an effective method that helps to ensure data integrity?

A) Conducting regular audits of manually entered data
B) Automating data entry processes
C) Implementing real-time data validation rules
D) Using machine learning algorithms to detect and correct errors

5. A logistics company is planning to separate cognitive and noncognitive parts of an AI project.
They need to manage teams working on these parts. What is a necessary initial task?

A) Developing a project charter outlining responsibilities for each team
B) Implementing a customer-driven feedback loop in planning
C) Utilizing a project management software to monitor progress
D) Conducting a skills assessment to assign team members accordingly

Solutions: