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PMI CPMAI Exam Syllabus Topics:

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

1. An IT services company is integrating an AI solution to automate its customer service functions.
The integration team is facing resistance from the customer's employees. Which action should the project manager perform to manage this risk?

A) Conduct all-hands meetings on the benefits.
B) Implement a gradual phased rollout.
C) Offer the option to join another team.
D) Mandate immediate transition from management.

2. Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?

A) Operationalized a pilot version
B) Developed initial machine learning models
C) Conducted a go/no-go assessment
D) Data collection and aggregation

3. A manufacturing firm is planning to implement a network of intelligent machines to increase efficiency on the assembly line. The machines are equipped with advanced AI capabilities including precision assembly, quality control for predictive maintenance, and real-time data analysis. The intelligent machines should enhance operational efficiency, reduce downtime, and improve product quality. There needs to be seamless communication between the machines and existing systems, compliance with industry regulations, and a managed transition for the workforce. What is a beneficial outcome of using intelligent machines in this environment?

A) Over-reliance on technology leading to skill degradation
B) Increased vulnerability to cybersecurity threats
C) Scalability and flexibility in production
D) Higher investment costs without immediate returns

4. An IT services company is verifying data quality for an AI project aimed at predicting server downtimes. The project manager needs to decide whether to proceed with data preparation.
Which technique should the project manager use?

A) Detailed cost-benefit analysis
B) Advanced data labeling methods
C) Exploratory data analysis (EDA)
D) Data augmentation strategies

5. A project involves integrating AI systems across multiple departments, each with different access levels. This complex Al project has presented the project manager with significant issues related to data misuse. The project team has been focused on their ethics guidelines but continues to experience data misuse. The project involves different regional data protection regulations which further increases the complexity. What issue will cause these challenges to occur?

A) Lack of a detailed plan addressing a governance strategy
B) Overlooking algorithmic bias and fairness concerns
C) Limited awareness of explainability requirements
D) Failure to implement robust encryption for data security

Solutions: