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PMI CPMAI Exam Syllabus Topics:

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

1. Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned. What would likely have helped avoid this conflict?

A) Applying a hybrid approach of automation and AI best practices would have achieved better results.
B) Everyone on the team should understand the differences between automation and autonomous systems.
C) Senior management should become involved in the project.
D) Nothing - running automation projects like autonomous projects is the correct thing to do.

2. A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects. What's the next best course of action?

A) Hire an entirely new team making sure there is at least one data scientist on this centrteam
B) Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
C) Bring in data centric methodology best practices to get this project back on track
D) Hire an outside consulting firm to handle the technical aspects while you train the team yourselfon data centric best practices

3. An AI project for a financial technology client is at risk due to potential inaccuracies in data aggregation. What is the first step the project manager should take to mitigate the risk?

A) Create a data visualization.
B) Evaluate the data freshness and relevance.
C) Understand the data characteristics.
D) Delete the suspicious data manually.

4. 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? (Choose all that apply.)

A) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.
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) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.

5. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Web service / Microservice
B) Real-time prediction
C) Stream learning
D) Batch prediction

Solutions: