You have a FAS8200 serving a dataset with a high volume of random reads. The dataset is highly optimized by deduplication and compression.
In this scenario, which compression setting provides both high performance and storage efficiency? (Choose the best answer.)
Adaptive compression is the best choice in this scenario as it provides a balance between performance and storage efficiency. This type of compression divides the data into smaller blocks, which are then compressed individually. When there is a read request, the system only needs to decompress the specific blocks that contain the requested data. This approach minimizes the time spent on decompression, thereby enhancing performance while still leveraging the benefits of compression for storage efficiency.
I agree with "adaptive compression" NetApp: Adaptive compression divides the file to be compressed into compression groups of 8k blocks. This compression group is then compressed and stored as a single block. When a user requests data from this compression group, it takes much less time to decompress and provide that data to the user, thereby improving the read performance.
D is correct https://library.netapp.com/ecmdocs/ECMLP2348026/html/GUID-37C6892A-AA01-4735-9CAF-AEB0DDFB7308.html