Instant Download PMI : CPMAI
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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 Model Development and Iteration | - Model building and validation
| |
| Topic 3: AI Operationalization and Governance | - Deployment and lifecycle management
| |
| Topic 4: Data for AI | - Data identification and governance
| |
| Topic 5: Data Preparation for AI | - Data cleaning and transformation
| |
| Topic 6: AI System Testing and Evaluation | - Model evaluation and monitoring
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
During the configuration management of an AI/machine learning (ML) model, the team has observed inconsistent performance metrics across different test datasets. What will cause the inconsistency issue?
- A. Overfitting the training data
- B. Insufficient model complexity
- C. Incorrect data preprocessing steps
- D. Low variance in the test results
Correct Answer: A 🗳️
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Using machine learning and other cognitive approaches to understand how to take past / existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior / interactions / data is a core part to which pattern(s) of AI?
- A. Predictive Analytics & Decision Support
- B. Recognition Pattern
- C. Predictive Analytics & Decision Support and Patterns and Anomalies
- D. Goal Driven Systems
Correct Answer: A 🗳️
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A government agency plans to implement a new AI-driven solution for automating risk analysis.
The project team needs to ensure that all stakeholders accept the solution and the project scope is well-defined. They must identify whether the AI approach is the best solution compared to traditional methods. Which method meets this objective?
- A. Developing a prototype using generative adversarial networks (GANs)
- B. Performing a comprehensive AI go/no-go assessment focusing on technology and data factors
- C. Conducting a detailed analysis to evaluate other potential AI solutions
- D. Utilizing a hybrid approach combining cognitive and noncognitive parts to satisfy all parties
Correct Answer: B 🗳️
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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. Applying a critical path method
- C. Using a kanban board
- D. Conducting a root cause analysis
Correct Answer: C 🗳️
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A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects. What's the next best course of action?
- A. Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
- B. Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices
- C. Hire an entirely new team making sure there is at least one data scientist on this centrteam
- D. Bring in data centric methodology best practices to get this project back on track
Correct Answer: D 🗳️
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