What is the primary purpose of CI/CD in MLOps?

The primary purpose of Continuous Integration and Continuous Deployment (CI/CD) in MLOps is to automate the end-to-end machine learning lifecycle. This includes automatically building, testing, and deploying ML models and their associated application components. By automating these processes, MLOps aims to create a more reliable, repeatable, and rapid workflow for delivering machine learning solutions to production, reducing manual errors and accelerating the time to market.

A. CI/CD is the practice of automating workflows to eliminate manual deployment and integration tasks.

C. Data labeling is a data preparation activity that may be part of an MLOps pipeline but is not the purpose of CI/CD.

D. Model visualization is part of the analysis and monitoring phase, not the core function of the CI/CD pipeline.

1. Microsoft. (2023). What is MLOps?. Microsoft Learn. Retrieved from https://docs.microsoft.com/en-us/azure/machine-learning/concept-mlops. (Section: "MLOps and CI/CD")

2. Microsoft. (2023). Set up MLOps with Azure DevOps. Microsoft Learn. Retrieved from https://docs.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-azureml. (Section: "CI/CD architecture")