I think that the right answer si C,D.
Because the number of bytes scanned has no values if don't know if your query has or not make a prune, reducing the number of partition tha has scanned.
I have a good query if my filters reduce the number of (micro) partiotion that the query must access to get the data.
A. Bytes scanned represents the amount of data scanned by the query. By minimizing the number of bytes scanned, query performance can be improved.
C. Number of partitions scanned represents the number of partitions read during query execution. By minimizing the number of partitions scanned, query performance can be improved.
B, D, and E are incorrect statements. Bytes sent over the network, percentage scanned from cache, and external bytes scanned may provide useful information for monitoring or troubleshooting, but they are not directly related to optimizing query performance.
D & E
D: Inefficient Pruning
https://docs.snowflake.com/en/user-guide/ui-query-profile.html#inefficient-pruning
E: Queries Too Large to Fit in Memory:
https://docs.snowflake.com/en/user-guide/ui-query-profile.html#queries-too-large-to-fit-in-memory
A. Bytes scanned: This indicates the amount of data scanned from the tables or files involved in the query. By minimizing the number of bytes scanned, you can optimize query performance by reducing the amount of data processed.
C. Number of partitions scanned: This represents the number of partitions accessed during the query execution. Optimizing the number of partitions scanned can improve query performance, as accessing fewer partitions typically requires less processing time.
So, the correct options are A. Bytes scanned and C. Number of partitions scanned
AC for me, because bytes scanned and number of partitions scanned referenced in the doc:
https://docs.snowflake.com/en/user-guide/ui-query-profile.html#queries-too-large-to-fit-in-memory
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