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PMI CPMAI Exam Syllabus Topics:

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

1. A government health agency is considering the implementation of AI to predict disease outbreaks. The project manager needs to determine whether AI is the right solution to address their needs. The solution must analyze large datasets from various regions and provide accurate predictions without overwhelming the system. In addition, the agency has non-Al alternatives such as traditional statistical models. What is a necessary initial task the project manager should perform?

A) Determining the data sources and their reliability
B) Assessing the agency's current technological infrastructure
C) Evaluating whether the AI system can scale effectively
D) Identifying which parts of the problem require cognitive solutions

2. A development team is tasked with creating an AI system to assist physicians with diagnosing medical conditions. They encountered cases where symptoms do not always lead to well-defined diagnoses. Which approach should the project manager integrate to handle the inherent uncertainty?

A) Increase the number of input variables.
B) Enhance the knowledge base with more detailed rules.
C) Implement a more complex retrained model.
D) Keep a human in the loop with all decision-making.

3. You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?

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

4. An IT services company is developing an AI-driven customer support chatbot. The project manager assembling the team needs to identify the data subject matter experts (SMEs) who can contribute effectively to the chatbot training and optimization. What expertise should the project manager look for to meet this objective?

A) Knowledge of long-short-term memory (LSTM) neural networks and success in handling long- term dependencies
B) Proficiency in convolution neural networks (CNNs) and their use in image recognition
C) Experience with generative adversarial networks (GANs) and generating realistic synthetic data
D) Background in recurrent neural networks (RNNs) and effectiveness in sequential data processing

5. An organization is establishing oversight for multiple AI initiatives and wants consistent review of fairness, transparency, and acceptable use across projects.
What governance mechanism best addresses this need?

A) A project management office with AI project templates
B) A data quality council reporting to the CIO
C) An AI ethics or responsible AI review board with defined authority
D) A model risk management policy issued by internal audit

Solutions: