Answer: It prunes unnecessary micro-partitions based on clustering metadata., It organizes clustering information to speed-up data retrieval from storage.

The correct answer is A because Snowflake's clustering metadata is specifically used to prune unnecessary micro-partitions during query execution, which reduces the amount of data scanned and improves performance. Option D is also correct as it describes how clustering information organizes data for faster retrieval from storage. Option B is incorrect because clustering doesn't directly compress data - compression happens at the micro-partition level regardless of clustering. Option C is incorrect because clustering doesn't automatically allocate additional resources; it's a metadata optimization technique.

Author: LeetQuiz Editorial Team