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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Data Preparation for AI | - Data cleaning and transformation
| |
| Data for AI | - Data identification and governance
| |
| AI Model Development and Iteration | - Model building and validation
| |
| AI Operationalization and Governance | - Deployment and lifecycle management
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
An AI governance review requires ensuring that all model decisions can be traced and justified during audits. The organization must demonstrate accountability to regulators and stakeholders.
Which mechanism should the project manager implement to meet this requirement effectively?
- A. Automate deployment pipelines
- B. Reduce dataset size
- C. Increase model complexity
- D. Maintain model documentation and audit trails
Correct Answer: D 🗳️
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During Model Evaluation, a project team observes that a model performs substantially better on training data than on the holdout test set.
What does this indicate, and what is the appropriate response?
- A. Data leakage; rebuild the feature set
- B. Underfitting; increase model complexity
- C. Overfitting; apply regularization or simplify the model
- D. Class imbalance; apply resampling
Correct Answer: C 🗳️
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Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?
- A. Data Deduping to reduce overall size and data complexity.
- B. Data selection and attribute pruning to reduce overall size and data complexity.
- C. Data integration focused on reducing the number of data sources.
- D. Careful algorithm selection that reduces the need for data.
Correct Answer: B 🗳️
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A healthcare organization is evaluating a diagnostic screening model. Clinical stakeholders state that missing a positive case has far more serious consequences than a false alarm.
Which evaluation metric should be prioritized?
- A. Recall
- B. Overall accuracy
- C. Specificity
- D. Precision
Correct Answer: A 🗳️
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An IT services company is developing an AI system to automate network security monitoring. The project manager needs to consider various factors to mitigate risks associated with false positives and false negatives. Which action should the project manager implement?
- A. Establishing a continuous feedback loop with security
- B. Operationalizing the nearest neighbor detection algorithms
- C. Implementing a robust data security validation process
- D. Conducting model combinations and trade offs
Correct Answer: A 🗳️
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