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

1. Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected.
What could have been done better to get the team to feel comfortable with this technology and use it? (Select all that apply.)

A) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
B) Have upper management relay to employees this tool is to augment, and not replace their jobs.
C) Ask end users what information and technology they need to help them do their job better and build the tool to help with these pain points.
D) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.

2. A healthcare project manager is evaluating whether to implement an AI-powered diagnostic tool.
The initial cost is US$500,000 with an expected return on investment (ROI) of 15% within the first year. The project needs to satisfy multiple stakeholders including hospital administrators and medical staff.
Which method will maximize a positive ROI for the AI implementation?

A) Ensuring all AI and non-AI components are integrated seamlessly
B) Monitoring AI model performance against key performance indicators
C) Seeking verbal commitments from interested parties at each project phase
D) Acquiring alternatives to the AI solution as a contingency plan

3. Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
What is the best course of action to take with this data?

A) Data selection and attribute pruning to reduce overall size and data complexity.
B) Data integration focused on reducing the number of data sources.
C) Careful algorithm selection that reduces the need for data.
D) Data Deduping to reduce overall size and data complexity.

4. You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

A) K-means
B) Neural Network
C) Hyperpersonalization
D) K Nearest Neighbor

5. Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
What role would be most suited for this?

A) Citizen Data Scientist
B) Data Engineer
C) Project Manager
D) Data Scientist

Solutions: