Oversee AI/ML Model QA/QC (e.g., Configuration Management, Model Performance) PMI-CPMAI Practice Questions (Page 7)

Questions 31–33

1. 31foundation · easy

   Which practice is an example of configuration management for an AI/ML project?

   • ARunning a load test on the model's serving infrastructure
   • BSetting up a dashboard to visualize model accuracy over time
   • CStoring the model code in a version control system and tagging releases
   • DDocumenting the model's intended use cases in a requirements document
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2. 32foundation · easy

   Which approach is used for technical validation of a model design?

   • ACollecting additional training data
   • BDeploying the model to a staging environment
   • CConducting a structured technical review with subject matter experts
   • DRunning a load test on the model's serving infrastructure
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3. 33application · medium

   A team is managing multiple versions of a model. They need to be able to trace which hyperparameters were used for a specific model version that was deployed to production. What should they implement?

   • AA naming convention for model files that includes the date
   • BA model registry that stores metadata, including hyperparameters, code version, and data version
   • CA shared spreadsheet listing model names and their creators
   • DA folder structure where each model version is stored in a separate subfolder
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