Cognitive Project Management in AI (PMI-CPMAI): CPMAI Exam
"Cognitive Project Management in AI (PMI-CPMAI)", also known as CPMAI exam, is a PMI Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 272 Q&As to your CPMAI Exam preparation. In the CPMAI exam resources, you will cover every field and category in CPMAI Certification helping to ready you for your successful PMI Certification.
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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Model Development and Iteration | - Model building and validation
| |
| Data Preparation for AI | - Data cleaning and transformation
| |
| Data for AI | - Data identification and governance
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| AI Operationalization and Governance | - Deployment and lifecycle management
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient. Which action should occur?
A) Proceed with development despite data issues.
B) Focus solely on technology upgrades, not data.
C) Launch the AI project without further assessment.
D) Verify data quality and stakeholder alignment.
2. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error" Which type of machine learning approach is being leveraged for this exercise?
A) Unsupervised Learning
B) Supervised Learning
C) All would work equally well
D) Reinforcement Learning
3. A project manager is leading a complex project for a global financial institution. The project is developing an AI-driven system for real-time fraud detection and risk management. The system needs to adhere to all financial regulations. The project manager has identified skills gaps with the existing available resources. What should the project manager do?
A) Engage consultants to fill the expertise gap.
B) Allocate additional budget for consultant AI training.
C) Proceed with the project until external expertise is needed.
D) Delay the project until internal expertise is developed.
4. Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected. What could have been done better to get the team to feel comfortable with this technology and use it? (Choose all that apply.)
A) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.
B) Have upper management relay to employees this tool is to augment, and not replace their jobs.
C) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
D) Ask end users what information and technology they need to help them do their job better and build the tool to help with these pain points.
5. A financial services firm is assessing the success of a newly operationalized AI system for fraud detection. The project manager needs to evaluate the model against business key performance indicators. (KPIs). What is an effective method to help ensure the accuracy of this evaluation?
A) Reviewing quarterly business financial reports
B) Utilizing a diverse set of validation techniques
C) Consulting with external experts and auditors
D) Implementing a single comprehensive metric
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B,C,D | Question # 5 Answer: B |
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