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  1. Home
  2. Snowflake Certification
  3. COF-C03 Exam
  4. Snowflake.COF-C03.v2026-06-01.q489 Dumps
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Question 386

What will happen to partitions if a table is cloned and the original table type is then changed from permanent to transient?

Correct Answer: C
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Question 387

What is the relationship between a Query Profile and a virtual warehouse?

Correct Answer: A
A Query Profile provides detailed execution information for a query, which can be used to analyze the performance and behavior of queries. This information can help users optimize and right-size their virtual warehouses for better efficiency. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
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Question 388

Which SQL statement will require a virtual warehouse to run?

Correct Answer: C
A virtual warehouse in Snowflake is used to perform data processing tasks that require computational resources, such as queries that modify data or perform significant computation. Of the options provided:
C . INSERT INTO TBL_EMPLOYEE(EMP_ID, EMP_NAME, EMP_SALARY, DEPT) VALUES(1,'Adam',20000,'Finance'); This SQL statement performs a data modification operation (DML) by inserting a new record into the TBL_EMPLOYEE table, which requires computational resources provided by a virtual warehouse to execute.
References:
Snowflake Documentation: Understanding Virtual Warehouses
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Question 389

While running a query on a virtual warehouse in auto-scale mode, additional clusters are stated immediately if which setting is configured?

Correct Answer: D
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Question 390

A user frequently runs a reporting query that returns the total record count and the minimum and maximum timestamp from a 100 TB fact table.
The table is loaded once per week and remains static between loads. The reporting query runs hundreds of times per day and causes significant warehouse-credit consumption because it repeatedly scans the fact table.
Which object will improve performance, minimize repeated query-compute costs, and provide the fastest response time?

Correct Answer: D
A materialized view stores precomputed query results. Snowflake maintains the materialized view when its underlying base-table data changes. Because the source table changes only once per week, maintenance occurs much less frequently than the reporting query is executed.
Repeated queries can read the much smaller precomputed result instead of scanning the 100 TB base table hundreds of times per day. Snowflake's optimizer can also automatically rewrite an eligible query to use a materialized view even when the query references the base table.
A standard view stores only its SQL definition and normally executes the underlying query whenever it is referenced. A temporary table would require manual creation, refresh, and lifecycle management. A dynamic table could materialize transformed results, but it requires refresh scheduling and refresh compute. For this repeated, stable aggregation pattern, the intended optimization object is a materialized view.
Materialized-view maintenance itself can consume credits, so it is most beneficial when query savings outweigh maintenance costs. The table's infrequent load schedule makes that condition more likely.
References:
Snowflake Documentation - Working with materialized views: https://docs.snowflake.com/en/user-guide
/views-materialized
Snowflake Documentation - Deciding when to create a materialized view: https://docs.snowflake.com/en
/user-guide/views-materialized#deciding-when-to-create-a-materialized-view
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