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PMI CPMAI Exam Syllabus Topics:

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

1. During the transition to an AI solution, the project manager discovers that certain tasks may not require cognitive Al capabilities and can be handled through traditional automation methods. As a result, the project team starts segregating tasks based on their cognitive requirements. What should the team consider?

A) Utilizing traditional automation solutions
B) Applying AI capabilities for noncognitive tasks
C) Assessing traditional task complexity
D) Proceeding with intelligent functionalities

2. Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

A) Support Vector Machines (SVM)
B) Naive Bayes
C) Neural Networks
D) Gaussian Mixture

3. You are working for a large multinational organization and have been assigned to a new project.
For your new ML project, you need to make sure you're managing data privacy and security as you're working with sensitive customer data. What critical security issues do you need to make sure you address? (Choose all that apply.)

A) Securing data at rest
B) Securely storing all data collected for training purposes
C) Securing model data and metadata
D) Compliance with Data Privacy Laws even if they are out of your physical jurisdiction

4. A project team at an IT services company is developing an AI solution to enhance network security. They need to define the success criteria to help ensure the project achieves its desired outcomes. What should the project manager do to define the relevant success criteria?

A) Implement machine learning (ML) algorithms for threat prediction.
B) Use key performance indicators (KPIs) for incident response times and threat detection rates.
C) Conduct a SWOT (strengths, weaknesses, opportunities, threats) analysis of the network infrastructure.
D) Perform a detailed cost-benefit analysis of security investments.

5. A project team is trying to determine the most suitable environment to operationalize their AI/machine learning (ML) solution. They need to consider various factors to help ensure a successful implementation. What should the project manager do?

A) Analyze the solution's compliance requirements.
B) Identify the end users and their interactions.
C) Evaluate the system's scalability options.
D) Consider the cost of implementation.

Solutions: