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You are designing the folder structure for an Azure Data Lake Storage Gen2 account. You identify the following usage patterns: * Users will query data by using Azure Synapse Analytics serverless SQL pools and Azure Synapse Analytics serverless Apache Spark pods. * Most queries will include a filter on the current year or week. * Data will be secured by data source. You need to recommend a folder structure that meets the following requirements: * Supports the usage patterns * Simplifies folder security * Minimizes query times Which folder structure should you recommend?
Correct Answer: C
Data will be secured by data source. -> Use DataSource as top folder. Most queries will include a filter on the current year or week -> Use \YYYY\WW\ as subfolders. Common Use Cases A common use case is to filter data stored in a date (and possibly time) folder structure such as /YYYY/MM/DD/ or /YYYY/MM/YYYY-MM-DD/. As new data is generated/sent/copied/moved to the storage account, a new folder is created for each specific time period. This strategy organises data into a maintainable folder structure.