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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| Topic 2: AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Topic 3: AI Model Development and Iteration | - Model building and validation
| |
| Topic 4: AI Operationalization and Governance | - Deployment and lifecycle management
| |
| Topic 5: Data Preparation for AI | - Data cleaning and transformation
| |
| Topic 6: Data for AI | - Data identification and governance
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your workflow pipeline?
- A. Model Operationalization
- B. Model retraining
- C. Model Drift
- D. Model reevaluation
Correct Answer: B 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?
- A. Retraining Pipelines
- B. ELT pipeline
- C. Feature Engineering
- D. Data Acquisition / Ingest / Capture
Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?
- A. Using a fact checklist to systematically verify data sources
- B. Implementing alternative approaches to process data differently
- C. Applying a visualization generator to create data flow diagrams
- D. Utilizing a prompt pattern to guide the AI model's training process
Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
An organization is considering multiple AI solutions to ensure regulatory compliance. What is an effective technique that helps to ensure the AI solution adheres to compliance requirements?
- A. Conducting quarterly compliance assessments
- B. Implementing continuous compliance monitoring
- C. Incorporating compliance rules directly into the algorithms
- D. Using pretrained models from compliant sources
Correct Answer: B 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
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. Assessing traditional task complexity
- B. Utilizing traditional automation solutions
- C. Applying AI capabilities for noncognitive tasks
- D. Proceeding with intelligent functionalities
Correct Answer: B 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
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