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PMI CPMAI Exam Syllabus Topics:

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?

A) Conducted a go/no-go assessment
B) Data collection and aggregation
C) Developed initial machine learning models
D) Operationalized a pilot version

2. A logistics company is operationalizing an AI solution to optimize delivery routes. The project manager needs to gather up-to-date information on traffic patterns, delivery schedules, and vehicle performance. Which method will integrate these diverse data types?

A) Using an extraction, transformation, and loading (ETL) pipeline
B) Building a unified data warehouse
C) Implementing a real-time data processing framework
D) Adopting a federated data model

3. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?

A) Enhancing with data augmentation techniques
B) Applying predictive data algorithms
C) Performing systematic data validation
D) Implementing an AI data needs assessment

4. A project manager at a consulting firm is tasked with facilitating the creation of an AI-driven predictive maintenance system for a manufacturing client. Identifying data sources and locations is crucial for the project's success. Which method will help to ensure the project manager meets the objectives?

A) Operationalizing a data lake for centralized storage
B) Establishing a comprehensive data governance framework
C) Creating a detailed data flow diagram
D) Using Internet of Things (IoT) sensors for real-time data collection

5. 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) Goal Driven Systems
D) Predictive Analytics & Decision Support and Patterns and Anomalies

Solutions: