Answer: Identifying inefficient micro-partition pruning, Data spilling to a local or remote disk

The Query Profile in Snowflake is a diagnostic tool that helps identify performance bottlenecks in query execution. Based on the community discussion and Snowflake documentation references, options D and E are the correct answers. Option D (Inefficient micro-partition pruning) is a common issue where queries scan more data than necessary due to poor pruning, leading to performance degradation. Option E (Data spilling to a local or remote disk) occurs when intermediate results exceed available memory, forcing data to spill to disk, which significantly slows down query execution. The community consensus strongly supports DE, with multiple comments citing Snowflake's official documentation that lists these as common query problems identified by the Query Profile. Options A, B, and C are less suitable: A (identifying slow queries before execution) is not a function of the Query Profile, which analyzes queries after execution; B (locating credit-intensive queries) is better identified through billing or usage views; and C (identifying logical issues) is typically handled during query development or through error messages, not the Query Profile.

Author: LeetQuiz Editorial Team