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PMI CPMAI Exam Syllabus Topics:

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

1. The team is working to build a data preparation pipeline for the conversational chatbot project.
Which phase of CPMAI is this done?

A) Phase I
B) Phase IV
C) Phase V
D) Phase VI
E) Phase III
F) Phase II

2. An AI project team is in the process of designing a security plan. The team needs to consider various aspects such as transparency, explainability, and compliance with data regulations.
Which action should the project manager take?

A) Focus only on technical security measures, ignoring transparency.
B) Assume compliance without reviewing current regulations.
C) Ensure the AI system's decisions are transparent and explainable.
D) Rely solely on encryption without considering other security aspects.

3. 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

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

5. A consulting firm is preparing data for an AI-driven customer segmentation model. They need to verify data quality before data preparation. What should the project manager do first?

A) Conduct data cleaning.
B) Assess data completeness.
C) Implement data enhancement.
D) Apply data labeling techniques.

Solutions: