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 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?
Click on the arrows to vote for the correct answer
A. B.B
Instead convert the files to compressed delimited text files.
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-dataThe solution presented to copy the files to a table that has a columnstore index can help to achieve the goal of copying the data quickly to Azure Synapse Analytics.
A columnstore index is a type of index in SQL Server that stores column data vertically, as opposed to the traditional row-based storage used by standard indexes. Columnstore indexes are designed to improve query performance for analytical workloads on large tables by reducing I/O and CPU usage.
In this scenario, the files contain text and numerical values, and 75% of the rows contain description data that has an average length of 1.1 MB. By using a columnstore index on the table, the data can be stored in a compressed format, reducing the amount of data that needs to be read from storage and increasing the efficiency of queries.
Additionally, Azure Synapse Analytics is designed to work with large volumes of data and can take advantage of columnstore indexes to improve query performance. By using a columnstore index on the table, the data can be copied quickly to Azure Synapse Analytics.
Therefore, the presented solution meets the goal of preparing the files to ensure that the data copies quickly. The answer is A. Yes.