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Snowflake COF-C03 Exam Syllabus Topics:

SectionObjectives
Security and Access Control- Authentication and user management
- Role-based access control (RBAC)
Data Loading and Unloading- External and internal stages
- Bulk data loading using stages and COPY INTO
Data Sharing and Protection- Secure data sharing
- Data replication and failover concepts
Data Transformation and Processing- SQL operations in Snowflake
- Streams and tasks for data pipelines
Performance and Optimization- Warehouse sizing and scaling
- Query optimization basics
Snowflake Architecture and Platform Concepts- Storage and data organization
- Virtual warehouses and compute model
- Snowflake architecture fundamentals

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q581-Q586):

NEW QUESTION # 581
Which statement will execute a stored procedure?

Answer: A

Explanation:
You execute a stored procedure using the CALL command. Nested procedure calls are allowed where the result of one procedure is passed as an argument to another.
Correct syntax:
CALL proc1(proc2(1));
Reference:
Snowflake Docs: CALL Statement


NEW QUESTION # 582
Which of the following are characteristics of security in Snowflake?

Answer: D

Explanation:
One of the security features of Snowflake includes the periodic rekeying of encrypted data, which is available with the Snowflake Enterprise edition and higher2. This ensures that the encryption keys are rotated regularly to maintain a high level of security. References: [COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 583
What is the purpose of the Snowflake SPLIT TO_TABLE function?

Answer: C

Explanation:
The purpose of the Snowflake SPLIT_TO_TABLE function is to split a string based on a specified delimiter and flatten the results into rows.This table function is useful for transforming a delimited string into a set of rows that can be further processed or queried5.


NEW QUESTION # 584
What is a benefit of using Snowflake directory tables?

Answer: B

Explanation:
The correct answer is D. Directory tables can be joined with other tables in Snowflake .
A directory table stores file-level metadata for files in a stage. This metadata can be queried using SQL, which means it can also be filtered, selected from, and joined with other Snowflake tables.
Why D is correct:
Because directory table metadata can be queried like table data, users can join that metadata with other Snowflake tables. This is useful for workflows where file metadata needs to be compared with control tables, audit tables, or processing logs.
Example concept:
SELECT d.relative_path, l.load_status
FROM DIRECTORY(@my_stage) d
LEFT JOIN load_log l
ON d.relative_path = l.file_name;
Why the other options are incorrect:
A). Directory tables store file-level metadata, but not in a temporary table. They are associated with stages.
B). Directory tables do not have their own independent privilege model. Access is controlled through privileges on the associated stage.
C). Any user cannot configure directory table privileges independently.
Official Snowflake documentation reference:
Snowflake documentation explains that directory tables store file-level metadata about staged files and that users can query this metadata with SQL, enabling joins with other tables.
Reference: Snowflake Documentation - Directory tables; Snowflake Documentation - Stages; SnowPro Core Study Guide - Data Loading and Unloading.


NEW QUESTION # 585
Which command sets the Virtual Warehouse for a session?

Answer: A

Explanation:
The command USE WAREHOUSE <<warehouse name>>;is used to set the virtual warehouse for the current session in Snowflake.This command specifies which virtual warehouse to use for executing queries in that session1.


NEW QUESTION # 586
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