PMI CPMAI : 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 financial services firm is operationalizing an AI-driven fraud detection system. The project manager needs to ensure the tool complies with relevant data privacy laws while providing secure data access to only authorized personnel. What is an effective technique to address these requirements?

A) Conducting a privacy impact assessment (PIA) to identify risks
B) Implementing real-time data verification (RTDV) processes
C) Utilizing role-based access control (RBAC) to limit data access
D) Developing a comprehensive data classification policy (DCP)

2. A project manager overseeing an AI project is concerned about potential data breaches. They need to establish a robust privacy and security plan. Where should the plan primarily focus to minimize risk?

A) Implementing multifactor authentication for all users
B) Updating security software and protocols regularly
C) Developing stringent access control policies
D) Conducting frequent vulnerability assessments and penetration testing

3. A logistics company is planning to separate cognitive and noncognitive parts of an AI project.
They need to manage teams working on these parts. What is a necessary initial task?

A) Developing a project charter outlining responsibilities for each team
B) Utilizing a project management software to monitor progress
C) Conducting a skills assessment to assign team members accordingly
D) Implementing a customer-driven feedback loop in planning

4. You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy. What is your next best course of action to address this?

A) Share prior experiences with how your last team addressed this problem and how you solved it
B) Help senior management do research on AI vendors
C) Share prior experiences with how your last team addressed this problem and their data quality issues
D) Say nothing and let the team figure it out for themselves

5. A company is developing a chatbot that can address user queries 24/7 without human intervention. Which AI capability should be implemented?

A) Goal-driven systems
B) Recognition
C) Conversational
D) Predictive analytics

Solutions: