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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Model Development and Iteration- Model building and validation
  • 1. Iterative delivery approach
    • 2. Machine learning / generative AI model development
      Topic 2: Data for AI- Data identification and governance
      • 1. Data sourcing and selection
        • 2. Data compliance and ethics
          Topic 3: AI System Testing and Evaluation- Model evaluation and monitoring
          • 1. Explainability and reliability assessment
            • 2. Performance evaluation and drift detection
              Topic 4: Data Preparation for AI- Data cleaning and transformation
              • 1. Feature engineering and preparation
                • 2. Data quality assurance
                  Topic 5: AI Operationalization and Governance- Deployment and lifecycle management
                  • 1. Continuous improvement and monitoring
                    • 2. AI governance and responsible AI
                      Topic 6: Identify Business Needs and Solutions26%- Problem framing and business alignment
                      • 1. Feasibility and ROI analysis
                        • 2. Define AI business objectives

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

                          1. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

                          A) The location/source of your data collection
                          B) The volume of the data you collect
                          C) The makeup of your data team
                          D) The quality of the data you collect


                          2. As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project. What's a key feature for this project that should happen to ensure success?

                          A) Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes
                          B) Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user
                          C) Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes
                          D) Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes


                          3. Using machine learning and other cognitive approaches to understand how to take past / existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior / interactions / data is a core part to which pattern(s) of AI?

                          A) Predictive Analytics & Decision Support and Patterns and Anomalies
                          B) Recognition Pattern
                          C) Predictive Analytics & Decision Support
                          D) Goal Driven Systems


                          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 tool requires more compute
                          D) The model is too efficient


                          5. A project team is working on an AI initiative that requires ensuring the explainability and transparency of their selected algorithms. They have identified the business requirements and stakeholders. What is an effective way to address the project objectives?

                          A) Adopting a principle of least privilege for data access
                          B) Implementing a chain-of-thought prompting technique
                          C) Leveraging generative AI for advanced data analysis
                          D) Using a rule-based approach to maintain simplicity


                          Solutions:

                          Question # 1
                          Answer: C
                          Question # 2
                          Answer: C
                          Question # 3
                          Answer: C
                          Question # 4
                          Answer: A
                          Question # 5
                          Answer: D

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