You have an Azure SQL database. The database contains a table that uses a columnstore index and is accessed infrequently.
You enable columnstore archival compression.
What are two possible results of the configuration? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . Queries that use the index will consume more disk I/O.
B . Queries that use the index will retrieve fewer data pages.
C . The index will consume more disk space.
D . The index will consume more memory.
E . Queries that use the index will consume more CPU resources.
Answer: BE
Explanation:
For rowstore tables and indexes, use the data compression feature to help reduce the size of the database. In addition to saving space, data compression can help improve performance of I/O intensive workloads because the data is stored in fewer pages and queries need to read fewer pages from disk.
Use columnstore archival compression to further reduce the data size for situations when you can afford extra time and CPU resources to store and retrieve the data.
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