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Snowflake Certification
COF-C02 Exam
Snowflake.COF-C02.v2026-01-13.q618 Dumps

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Question 511

What is the minimum Snowflake edition that provides data sharing?

A.Premier
B.Business Critical Edition
C.Standard
D.Enterprise

Correct Answer: C

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Question 512

Which COPY INTO <table> options can be used to load data from a staged file when the metadata in the file has expired? (Select TWO)

A.ENFORCE_LENGTH
B.PURGE
C.LOAD_UNCERTAIN_FILES
D.FORCE
E.LOAD_EXPIRED_FILES

Correct Answer: B,C

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Question 513

Which command can be performed on a Snowflake secure view?

A.DELETE
B.UPDATE
C.SELECT
D.INSERT

Correct Answer: D

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Question 514

Which copy INTO command outputs the data into one file?

A.SINGLE=TRUE
B.MAX_FILE_NUMBER=1
C.FILE_NUMBER=1
D.MULTIPLE=FAISE

Correct Answer: B

The COPY INTO command in Snowflake can be configured to output data into a single file by setting the MAX_FILE_NUMBER option to 1. This option limits the number of files generated by the command, ensuring that only one file is created regardless of the amount of data being exported.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Unloading

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Question 515

What Snowflake features allow virtual warehouses to handle high concurrency workloads? (Select TWO)

A.The ability to scale up warehouses
B.The use of warehouse auto scaling
C.The ability to resize warehouses
D.Use of multi-clustered warehouses
E.The use of warehouse indexing

Correct Answer: B,D

Snowflake's architecture is designed to handle high concurrency workloads through several features, two of which are particularly effective:
* B. The use of warehouse auto scaling: This feature allows Snowflake to automatically adjust the compute resources allocated to a virtual warehouse in response to the workload. If there is an increase in concurrent queries, Snowflake can scale up the resources to maintain performance.
* D. Use of multi-clustered warehouses: Multi-clustered warehouses enable Snowflake to run multiple clusters of compute resources simultaneously. This allows for the distribution of queries across clusters, thereby reducing the load on any single cluster and improving the system's ability to handle a high number of concurrent queries.
These features ensure that Snowflake can manage varying levels of demand without manual intervention, providing a seamless experience even during peak usage.
References:
Snowflake Documentation on Virtual Warehouses
SnowPro® Core Certification Study Guide

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