DP-700 Microsoft Fabric Data Engineer Practice Exam

In the Medallion Architecture, the Silver layer is where data is cleaned, standardized, and integrated so it’s ready for analysis. After raw data lands in the Bronze layer, the Silver layer applies data quality checks, resolves inconsistencies, and joins related datasets from multiple Bronze sources to produce consistent, analytics-ready tables or views. This makes it easy for analysts and BI tools to run queries without dealing with raw, unstructured, or disjointed data. This is why the purpose is to store cleaned, integrated data ready for analysis. Raw data belongs in the Bronze layer, curated business-ready aggregates live in the Gold layer, and model training data isn’t the primary function of the Silver layer—even though ML can use curated data, the Silver layer’s primary role is to provide refined, analysis-ready datasets.