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A sales table FCT_SALES has 100 million records. The following Query was executed SELECT COUNT (1) FROM FCT__SALES; How did Snowflake fulfill this query?
Correct Answer: D
Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries. When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan. References: * Snowflake Documentation on Metadata Management * SnowPro Core Certification Study Guide