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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Operationalization and Governance | - Deployment and lifecycle management
| |
| AI Model Development and Iteration | - Model building and validation
| |
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| Data for AI | - Data identification and governance
| |
| Data Preparation for AI | - Data cleaning and transformation
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
A model achieves 97 percent accuracy during validation but performs poorly in production.
Investigation reveals that a feature in the training set was derived from information that becomes available only after the outcome occurs.
What issue does this describe?
- A. Concept drift
- B. Data leakage
- C. Overfitting
- D. Sampling bias
Correct Answer: B 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
A company is operationalizing an AI system for automated customer service. The system appears to favor queries in one language over others, despite having been trained on a multilingual dataset. Which two issues should the project lead investigate? (Choose two.)
- A. Check the distribution of training samples per language.
- B. Evaluate the system's response times for different languages.
- C. Determine whether the neural network architecture supports multilingual processing.
- D. Presume the dataset is at fault, without conducting a detailed analysis.
- E. Examine whether the preprocessing techniques varied across languages.
Correct Answer: A,E 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
You're working with an inexperienced team and this is all their first AI project. You're trying to work on a supervised learning binary classification problem to determine if emails are spam or not. What is the best approach for this project?
- A. Pick a simple algorithm such a naive bayes
- B. Pick a neural network algorithm since you know this works well for supervised learning approaches
- C. Pick an ensemble method since you're not sure which algorithm will perform best
- D. Pick a simple algorithm such as Gaussian mixture
Correct Answer: A 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
An IT services company is operationalizing an AI-based customer service chatbot. The project manager needs to track the workflow of key resources such as natural language processing experts, cloud computing resources, and integration specialists. What will enable the project manager to visualize and manage the cadence of resource activities?
- A. Implementing a balanced scorecard
- B. Using a kanban board
- C. Applying a critical path method
- D. Conducting a root cause analysis
Correct Answer: B 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same. What is most likely happening here?
- A. Data privacy issues leading to data sharing concerns
- B. Biased data sets leading to algorithmic discrimination
- C. Generative AI models hallucinating data results
- D. Nothing is wrong, algorithmic decisions will never be 100%
Correct Answer: B 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
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