PMI CPMAI

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PMI CPMAI Exam Syllabus Topics:

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

Question #1
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model. What critical error did your team make?

A. They did not have data governance in place
B. They did not practice model iteration and properly iterate on the model
C. They did not have a model retraining pipeline that took into account models
D. They did not practice model versioning and keep all versions of the model

Question #2
Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A. Stream learning
B. Batch prediction
C. Web service / Microservice
D. Real-time prediction

Question #3
During CPMAI Phase II it's important to not only understand the sources of your data, but also what data is required for training as well as identifying the features that are required. When looking to gather data, what approach is best when determining how much data you need?

A. There is no correct approach
B. The "more is better" approach
C. The "less is better" approach
D. The "goldilocks" approach

Question #4
A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?

A. Implementing data augmentation techniques to fill missing values
B. Using data profiling tools to assess data completeness
C. Setting up a continuous integration pipeline for real-time data validation
D. Operationalizing a data catalog to maintain metadata standards

Question #5
You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project. What's the best way to approach this?

A. Take inventory of all data your team has and use the relevant data
B. Take all the data your company has as well as purchase additional external data
C. Take all the existing data you have and apply it to this project
D. Take inventory of all data your company has and use the relevant data

Solutions: