Describe AI MLOps/LLMOps Ecosystems and General Use CERTIFIED-AI-EXPERT Practice Questions (Page 5)

Questions 21–24

1. 21foundation · easy

   Which component is typically found in an MLOps ecosystem to manage and version machine learning models?

   • AContainer registry
   • BData lake
   • CCI/CD pipeline
   • DModel registry
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A startup is building a recommendation engine and wants to adopt MLOps practices. They have a small team and limited infrastructure. Which toolset would be most appropriate for their initial MLOps setup?

   • AA custom-built pipeline using scripts and a shared database for tracking experiments.
   • BA set of open-source tools that they must install and configure on their own servers.
   • CA cloud-based ML platform that provides managed pipelines, experiment tracking, and model deployment.
   • DA spreadsheet to track experiments and a manual deployment process.
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A retail company wants to use MLOps to improve its demand forecasting. The team needs to update the model weekly with new sales data and automatically deploy it to a production API. Which practice is most directly aligned with this goal?

   • AImplementing a continuous training pipeline that triggers on new data, validates the model, and deploys it via a CI/CD process.
   • BUsing a static model that was trained on historical data and never updating it.
   • CHaving data scientists manually run the training script and then email the model file to the operations team.
   • DTraining the model once a year and manually updating the API endpoint with the new model file.
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A healthcare startup is building an LLM-based chatbot to answer patient questions. They need to track prompt versions, fine-tuning datasets, and model responses for compliance audits. Which set of tools would best support their LLMOps needs?

   • AA single notebook that contains all prompts, datasets, and model code, with no external tracking.
   • BA version control system for prompts and datasets, a model registry, and an inference logging service that records prompts and responses.
   • CAn email distribution list to share prompt updates and a manual log for recording model responses.
   • DA spreadsheet to log all prompts and a shared folder for storing model files.
   Reveal Solution Discussion Select an answer first