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PMI CPMAI Exam Syllabus Topics:

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

1. Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?

A) Unsupervised Learning
B) Reinforcement Learning
C) All would work equally well
D) Supervised Learning

2. A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project. What's wrong with this suggestion?

A) Pipelines are model operationalization need specific.
B) Pipelines are pattern and model need specific.
C) Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
D) There is no issue. Pipelines can be reused as needed between projects

3. At the start of an AI initiative, stakeholders are unclear about desired outcomes and success criteria. The team risks building a technically sound model that fails to deliver business value.
Which lifecycle phase should address this issue?

A) Model optimization
B) Problem framing
C) Deployment
D) Monitoring

4. A project team is using a generative AI assistant to draft stakeholder communications. The drafts are often generic and miss project constraints. What is the most likely cause?

A) The prompts provide insufficient context and constraints
B) The team is over-monitoring outputs
C) The model is too efficient
D) The tool requires more compute

5. A logistics company wants to optimize its delivery routes while adapting to real-time traffic conditions. Which AI pattern or patterns meets these goals?

A) Predictive analytics
B) Conversational
C) Automation and rule-based systems
D) Recognition and content summarization

Solutions: