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PMI CPMAI Exam Syllabus Topics:

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

1. A financial services firm is implementing AI models to automate fraud detection. The project manager needs to ensure the models comply with regulatory standards and ethical guidelines while maintaining performance and accuracy. Which action should the project manager take?

A) Use any available data without checking for consent.
B) Assume compliance without formal verification.
C) Implement bias detection and mitigation strategies.
D) Focus solely on model accuracy, ignoring compliance.

2. 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) Monitoring
C) Deployment
D) Problem framing

3. Clean, well-labeled, datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A) Split by alphabetical order
B) Use the same data for all sets
C) Split by patterned subsampling
D) Split by random subsampling

4. A healthcare provider is operationalizing an AI tool to assist in diagnostic processes. To ensure robust model governance, they need to address data privacy and ethical considerations. What should the project manager do?

A) Establish a comprehensive DPMS protocol.
B) Implement a multi-tiered DCA framework.
C) Set up a continuous CUE review process.
D) Develop a detailed privacy impact assessment (PIA).

5. A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?

A) Using a fact checklist to systematically verify data sources
B) Applying a visualization generator to create data flow diagrams
C) Implementing alternative approaches to process data differently
D) Utilizing a prompt pattern to guide the AI model's training process

Solutions: