DEA-C02 Exam Dumps | You have a table named 'TRANSACTIONS with the following definition: CREATE TABLE TRANSACTIONS ( TRANSACTION

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Question 17/149

You have a table named 'TRANSACTIONS with the following definition: CREATE TABLE TRANSACTIONS ( TRANSACTION ID NUMBER, TRANSACTION DATE DATE, CUSTOMER_ID NUMBER, AMOUNT PRODUCT_CATEGORY VARCHAR(50) Users frequently query this table using filters on both 'TRANSACTION_DATE and 'PRODUCT CATEGORY. You want to optimize query performance. What is the MOST effective approach?

A. Create separate indexes on 'TRANSACTION DATE' and 'PRODUCT CATEGORY.

B. Cluster the table on ' TRANSACTION_DATE and then create a materialized view filtered by PRODUCT_CATEGORY&.

C. Cluster the table using a composite key of '(TRANSACTION_DATE, PRODUCT CATEGORY)'.

D. Create a materialized view joining 'TRANSACTIONS' with a dimension table containing product category information.

E. Partition the table by 'TRANSACTION DATE

Correct Answer: C

Clustering the table using a composite key of '(TRANSACTION_DATE, PRODUCT_CATEGORY)' is the most effective approach. This will physically organize the data so that micro-partitions contain data with similar values for both columns, significantly improving performance for queries filtering on both columns. Snowflake does not support indexes (A). Materialized views (B, D) can be helpful, but clustering the base table provides a more fundamental optimization. Partitioning (E) isn't possible in Snowflake. Clustering directly on composite columns addresses the physical data layout best for common query patterns.

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