A Data Analyst demands to get rid of data data files in Delta table ny_store_sales with a substantial transaction log as a way to liberate Area and save on storage costs. The Data Analyst recognizes that ny_store_sales is remaining streamed to the Gold layer of the Lakehouse for reporting workloads.
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This layer combines data from various resources, carries out advanced analytics, and offers users a unified watch of the data. Creating a data warehouse, dashboards, and reviews for business people are all aspect of this layer.
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Question two. A manufacturing firm would like to use data from sensors installed within the equipment to repeatedly check the performance of its output line. Which of the subsequent Databricks SQL features might be most effective in this example?
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Choice D is incorrect. Of the three layers, the silver layer just isn't the biggest. As Databricks Certified Data Analyst Associate a result of its part in storing Uncooked data, the bronze layer is often the most important while in the medallion architecture.
Solution C is incorrect. Despite the fact that adding a lot more parallelism can strengthen question efficiency, It is far from usually the best choice and can lead to increased expenditures.
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Question 13. A data analyst demands to determine the top five buyers determined by the entire quantity they spent on purchases in the final thirty days from your sales table. Which of the next Databricks SQL statements will generate the correct end result?
To ensure that accurately 10% of shoppers are returned within the look at, the query in alternative C takes advantage of the subquery to locate the 90th percentile of total_spend and selects all buyers whose total_spend is greater than this worth. Getting the very best 10% of clients based on total_spend is impossible utilizing selections A, B, or D.
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