Databricks Certified Data Analyst Associate · Free Practice Question Medium
Question 6
Which of the following best describes the purpose of the gold layer in the Databricks Lakehouse architecture?
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A
It is the layer where data is prepared and transformed, typically used for staging before further processing.
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B
It is used for storing raw, unprocessed data as it is ingested from various sources.
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C
It serves as a backup storage layer for historical data, ensuring data integrity and availability.
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D
It is optimized for quick, scalable querying and analytics, where data is cleaned, aggregated, and ready for reporting.
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E
It is used exclusively for storing metadata related to datasets and table structures.
Reveal correct answer
Correct answer: D
Explanation
It is optimized for quick, scalable querying and analytics, where data is cleaned, aggregated, and ready for reporting.
In the Databricks Lakehouse architecture, the gold layer represents the final, refined data layer that is most commonly used by data analysts for querying and generating insights. This layer contains data that has been cleaned, enriched, and aggregated, making it ideal for reporting, dashboards, and advanced analytics. The gold layer is optimized for performance, ensuring that queries can be run quickly and efficiently. Unlike the bronze layer, which stores raw data, or the silver layer, which is used for data preparation and transformation, the gold layer provides analysts with ready-to-use data for their analysis tasks.
References:
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