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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 21

What type of query will benefit from the query acceleration service?

Correct Answer: B
The query acceleration service in Snowflake is designed to benefit queries that involve large scans and selective filters. This service can offload portions of the query processing work to shared compute resources, which can handlethese types of workloads more efficiently by performing morework in parallel and reducing the wall-clock time spent in scanning and filtering2. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
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Question 22

Which privilege is required for a role to be able to resume a suspended warehouse if auto-resume is not enabled?

Correct Answer: B
The OPERATE privilege is required for a role to resume a suspended warehouse if auto-resume is not enabled. This privilege allows the role to start, stop, suspend, or resume a virtual warehouse3.
References: [ COF-C03 ] SnowPro Core Certification E xam Study Guide
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Question 23

When is a DataFrame processed in Snowpark?

Correct Answer: B
The correct answer is B. When a collect() action is triggered .
Snowpark DataFrames are evaluated lazily. Creating a DataFrame or applying transformations does not immediately execute the query in Snowflake. Execution happens only when an action is called.
Why B is correct:
collect() is an action. When it is called, Snowpark sends the accumulated DataFrame logic to Snowflake for execution and returns the results to the client.
Example:
df = session.table( " CUSTOMERS " )
filtered_df = df.filter(df[ " REGION " ] == " WEST " )
# Query is processed when this action runs:
rows = filtered_df.collect()
Why the other options are incorrect:
A). Creating a DataFrame builds a logical plan but does not process the data.
C). Warehouse memory availability is not what triggers DataFrame execution.
D). Applying a transformation adds to the logical plan, but it does not execute the plan.
Official Snowflake documentation reference:
Snowflake documentation describes Snowpark DataFrames as lazily evaluated. Transformations are not executed until an action, such as collect(), is called.
Reference: Snowflake Documentation - Snowpark DataFrames; Snowflake Documentation - Snowpark actions and transformations; SnowPro Core Study Guide - SQL and Snowflake Objects.
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Question 24

A user manages a 2 TB sales table clustered by order_date. Multiple teams query this data, but one specific team repeatedly filters on the region column, retrieving only a few thousand rows per query across hundreds of daily requests. The table is refreshed weekly, and no other teams report performance problems. Which action should be taken to optimize query performance for this specific team?

Correct Answer: B
The Search Optimization Service is useful for selective point lookup or highly selective filter queries. Since one team frequently filters on region and retrieves a small number of rows from a very large table, search optimization is the best targeted solution.
Reference: Snowflake Documentation - Search Optimization Service; Search access path; Selective query optimization.
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Question 25

Which statements are correct concerning the leveraging of third-party data from the Snowflake Data Marketplace? (Choose two.)

Correct Answer: A,D
When leveraging third-party data from the Snowflake Data Marketplace, the data is live, ready-to-query, and can be personalized. Additionally, the data is available without the need for copying or movingit to an individual Snowflake account, allowing for seamless integration with existing data
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