You are designing a fact table named FactPurchase in an Azure Synapse Analytics dedicated SQL pool. The table contains purchases from suppliers for a retail store. FactPurchase will contain the following columns.FactPurchase will have 1 million rows of data added daily and will contain three years of data.Transact-SQL queries similar to the following query will be executed daily.SELECT -SupplierKey, StockItemKey, IsOrderFinalized, COUNT(*)FROM FactPurchase -WHERE DateKey >= 20210101 -AND DateKey <= 20210131 -GROUP By SupplierKey, StockItemKey, IsOrderFinalizedWhich table distribution will minimize query times?
HOTSPOT -From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays.The data contains the following columns.You need to design a star schema to support analytical queries of the data. The star schema will contain four tables including a date dimension.To which table should you add each column? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.You need to prepare the files to ensure that the data copies quickly.Solution: You convert the files to compressed delimited text files.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.You need to prepare the files to ensure that the data copies quickly.Solution: You copy the files to a table that has a columnstore index.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.You need to prepare the files to ensure that the data copies quickly.Solution: You modify the files to ensure that each row is more than 1 MB.Does this meet the goal?
You have a table in an Azure Synapse Analytics dedicated SQL pool. The table was created by using the following Transact-SQL statement.You need to alter the table to meet the following requirements:✑ Ensure that users can identify the current manager of employees.✑ Support creating an employee reporting hierarchy for your entire company.✑ Provide fast lookup of the managers' attributes such as name and job title.Which column should you add to the table?
