PMI CPMAI Exam : Cognitive Project Management in AI (PMI-CPMAI)

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PMI CPMAI Exam Syllabus Topics:

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

1. A project manager is preparing a contingency plan for an AI-enabled underwriting platform.
During outages, the business must still make time-sensitive decisions. What strategy best supports business continuity?

A) Keep the AI system running without monitoring to avoid interruptions
B) Only increase marketing to offset the outage
C) Implement a manual override process with defined escalation and decision rules
D) Stop all underwriting until the AI system returns

2. A project manager is preparing a contingency plan for an AI-driven customer service platform.
They need to determine an effective strategy to handle potential system downtimes. Which strategy addresses the project manager's objective?

A) Implementing a manual override system for critical customer queries
B) Developing an automated fallback chatbot with limited capabilities
C) Providing extensive training to customer service representatives on handling AI failures
D) Creating a robust customer service logging system to quickly identify and resolve issues

3. A project team is preparing to move to the next phase of implementation with an AI system.
However, they are unsure about the system's transparency requirements. Which next step should the project manager prioritize?

A) Reviewing existing transparency standards and guidelines
B) Developing a detailed transparency documentation protocol
C) Creating a user-friendly interface for transparency reporting
D) Holding a stakeholder meeting to discuss transparency needs

4. A retail bank wants to reduce fraudulent transactions by detecting unusual card activity in near real time. Which AI capability should be used?

A) Conversational
B) Predictive analytics
C) Autonomous systems
D) Hyperpersonalization

5. A project manager is preparing to present data insights from a new AI-driven market analysis tool to the leadership team. The leadership team is particularly concerned about the tool's predictive accuracy and the interpretability of its results.
Which action should the project manager take?

A) Focus on the tool's MSE (mean squared error) and how it compares to baseline models.
B) Highlight the tool's ROC-AUC (receiver operating characteristic area under the curve) and discuss its F1-score performance.
C) Discuss the impact of hyperparameter tuning on the model's precision and recall metrics.
D) Explain the tool's SHAP (Shapley additive explanations) values and their role in feature importance analysis.

Solutions: