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Compression is implemented in SQL Server at the object level. Each index or table can be compressed individually, and you have the option of compressing partitions within a partitioned table or index. You can evaluate how much space you will save by using the sp_estimate_data_compression_savings system stored procedure. Prior to SQL Server 2019, this procedure did not support columnstore indexes, or columnstore archival compression. Which of the following is best described by " All pages will initially be compressed on a lower level prior to applying the type of compression. Then a combination of techniques called prefix and dictionary compression are applied to the data. Prefix compression eliminates redundant data in a single column, storing pointers back to the page header. After that step, dictionary compression searches for repeated values on a page and replaces them with pointers, further reducing storage. The more redundancy in your data, the greater the space savings when you compress your data "?