You are working on a project that requires running machine learning experiments with different configurations. Explain how you would use MLflow Sweeps to run and manage the experiments, and discuss the advantages of using MLflow Sweeps for experiment management.

Simulated

Use MLflow Sweeps to define a search space for the hyperparameters, create a sweep, and run the experiments using the specified configurations.

84.2%

Manually run the experiments with different configurations and record the results in a spreadsheet.

0.0%

Use the MLflow UI to create a custom dashboard to visualize the results of the experiments with different configurations.

0.0%

Use the MLflow Client API to programmatically run the experiments with different configurations and compare the results.

15.8%

Databricks Certified Machine Learning - Associate