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PMI CPMAI Exam Syllabus Topics:

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

1. An AI project team with a manufacturing company needs to ensure data integrity before moving to model development. They discovered some data inconsistencies due to manual entry errors.
What is an effective method that helps to ensure data integrity?

A) Using machine learning algorithms to detect and correct errors
B) Conducting regular audits of manually entered data
C) Automating data entry processes
D) Implementing real-time data validation rules

2. A project manager is evaluating an AI model's performance to determine its business impact. The model has shown high accuracy during testing but has not been implemented yet in a live environment. The project manager needs to decide what to assess to ensure the model's effectiveness. What should the project manager do?

A) Determine the scalability for future expansions.
B) Check if the training data represents real-world scenarios.
C) Conduct a cost-benefit analysis of the model's implementation.
D) Evaluate the ethical implications of operationalizing the model.

3. Senior management has tasked your group to analyze a data set to uncover insights into the data. What is the best approach to use to do this?

A) Data Mining or Data Analytics
B) Data Governance
C) Data Integration
D) Data preparation

4. An energy technology company needs to convey data understanding to the leadership team for an AI project aimed at predicting equipment failures. The project involves analyzing sensor data from various equipment. Which necessary initial task should the project manager take?

A) Develop a preprocessing pipeline to clean and normalize sensor data.
B) Use a generative adversarial network (GAN) to simulate equipment behavior.
C) Employ a support vector machine to classify sensor data.
D) Construct a graphical model using DALL-E to depict failure predictions.

5. Doctors have been utilizing a sophisticated AI-driven cognitive solution to help with diagnosing illnesses. The AI system is integrated with several medical databases. This allowed the AI system to learn from new patient data and adapt to the latest medical knowledge and practices. The final project report indicated that the AI model had degraded over time which impacted reliability and effectiveness. The AI system must comply with healthcare regulations from various countries.
What is the likely cause for the degradation issue?

A) Inadequate initial model validation
B) Impact of data drift on model accuracy
C) Changes in business model requirements
D) Data drift affecting model precision

Solutions: