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PMI CPMAI Exam Syllabus Topics:

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

1. A government agency is developing an AI system to predict infrastructure failures. The data team needs to ensure that the dataset includes historical maintenance records, environmental data, and equipment usage logs. However, they are encountering issues with data from multiple sources being in different formats. Which two methods should be applied to meet the data team's objectives? (Choose two.)

A) Applying a diversified data ingestion model
B) Utilizing a multiformat data integration tool
C) Adopting a hybrid data preparation pipeline
D) Implementing a data normalization process
E) Depending only on manual entry for format standardization

2. Before fully deploying a new recommendation algorithm, the team wants to evaluate its performance against the existing system using real users. The goal is to measure impact on engagement and business metrics. What technique should be used?

A) Feature engineering
B) A/B testing
C) Cross-validation
D) Data cleaning

3. A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
What is a necessary initial task?

A) Determining the scalability of AI solutions for transaction monitoring
B) Evaluating the accuracy of current fraud detection methods
C) Assessing the ethical implications of using AI for fraud detection
D) Identifying the primary stakeholders and their needs

4. A city transportation department is deploying an AI model that adjusts traffic signal timing. The department is concerned that traffic patterns will shift seasonally and during major events. What is the best method to manage this risk after deployment?

A) Rely on vendor guarantees instead of internal controls
B) Increase the training dataset size once before launch
C) Disable model updates to maintain consistent behavior
D) Perform continuous monitoring and auditing for drift and performance degradation

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

Solutions: