Which of the following data workloads will utilize a Gold table as its source?

A Gold table is a table that contains highly refined and aggregated data that powers analytics,

machine learning, and production applications. It represents data that has been transformed into

knowledge, rather than just information. A Gold table is typically the final output of a medallion

lakehouse architecture, where data flows from Bronze to Silver to Gold tables, with each layer

improving the structure and quality of data. A job that queries aggregated data designed to feed into

a dashboard is an example of a data workload that will utilize a Gold table as its source, as it requires

data that is ready for consumption and analysis. The other options are either data workloads that will

use a Bronze or Silver table as their source, or data workloads that will produce a Gold table as their

output. Reference: Databricks Documentation - What is the medallion lakehouse

architecture?, Databricks Documentation - What is a Medallion Architecture?, K21Academy - Delta

Lake Architecture & Azure Databricks Workspace.