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Answer: A job that queries aggregated data that already feeds into a dashboard
The gold layer in the medallion architecture is designed to store aggregated data, which is commonly used for dashboards and reporting. This layer supports ML applications, reporting, dashboards, and ad hoc analytics by providing refined views of data, typically with aggregations. It also helps in reducing strain on production systems and optimizing query performance for business-critical data. Understanding the role of each layer (bronze, silver, gold) in the medallion architecture is crucial for the exam, as questions may target the purpose of each layer.
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Which data workload scenario is most likely to use a gold table as its source?
A
A job that cleans data by removing malformatted records
B
A job that ingests raw data from a streaming source into the Lakehouse
C
A job that queries aggregated data that already feeds into a dashboard
D
A job that enriches data by parsing its timestamps into a human-readable format
E
A job that aggregates cleaned data to create standard summary statistics
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