Question 31

Explanation

✅ Define TRANSACTION_DATE as a clustering key and enable AUTO_CLUSTERING if not already done, then monitor its effectiveness.

Explanation:

A high CLUSTERING_DEPTH value indicates that the table's natural clustering has deteriorated, leading to inefficient query performance. By defining TRANSACTION_DATE as a clustering key and enabling AUTO_CLUSTERING, Snowflake will automatically reorganize the data to optimize partition elimination, improving query efficiency.

❌ Why the other options are incorrect?

• Immediately increase the size of the virtual warehouse executing the report. → Incorrect, because increasing warehouse size only improves compute power but does not resolve poor clustering, meaning queries will still be inefficient.

• Create a Materialized View on the reporting table. → Incorrect, as materialized views optimize specific aggregations but do not address clustering inefficiencies in the base table.

• Disable the Query Acceleration Service for the warehouse. → Incorrect, because this service enhances query speed in certain conditions; disabling it does not resolve clustering depth issues.

• Recommend using the APPROX_COUNT_DISTINCT function to reduce processing time. → Incorrect, as this function only helps with specific aggregation queries and does not improve overall query efficiency related to clustering.

For more details on clustering keys and AUTO_CLUSTERING, you can check this resource.