In a continuous integration, continuous deployment (CI/CD) process for machine learning pipelines, which of the following events commonly triggers the execution of automated testing?
In a continuous integration, continuous deployment (CI/CD) process for machine learning pipelines, which of the following events commonly triggers the execution of automated testing?
In a CI/CD process for machine learning pipelines, the arrival of a new model version in the MLflow Model Registry is a common event that triggers the execution of automated testing. Automated testing is necessary to ensure that the new model version performs as expected and meets the required quality standards before it is deployed.
The correct answer is E. The arrival of a new model version in the MLflow Model Registry. In a CI/CD process for machine learning pipelines, the arrival of a new model version in the MLflow Model Registry is a common event that triggers the execution of automated testing. This is because each new model version could potentially introduce changes that might affect the performance or functionality of the machine learning pipeline. Automated testing helps ensure that the new model version meets the necessary quality standards before it is deployed.
When a new model version is registered in the MLflow Model Registry, it often triggers automated testing to ensure that the new model version performs as expected and meets the defined criteria before deployment.