You are working on a project that requires tracking the code used to execute an MLflow Run. Explain how you would locate the code associated with a run in the MLflow UI, and discuss the importance of tracking code for reproducibility and collaboration.

Simulated

Go to the run's page in the MLflow UI, click on the 'Code' tab, and view the source files and line numbers associated with the run.

81.8%

Use the MLflow Client API to query the run and retrieve the code information programmatically.

4.5%

Manually inspect the run's logs and search for the code snippets executed during the run.

0.0%

Use the MLflow UI to download the artifacts from the run, which may include the code files used for execution.

13.6%

Databricks Certified Machine Learning - Associate