Snowflake COF-C03 New Study Plan & Visual COF-C03 Cert Test

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Snowflake COF-C03 Exam Syllabus Topics:

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

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q237-Q242):

NEW QUESTION # 237
Snowflake's access control framework combines which models for securing data? (Select TWO).

Answer: D,E

Explanation:
Snowflake's access control framework utilizes a combination of Discretionary Access Control (DAC) and Role-based Access Control (RBAC). DAC in Snowflake allows the object owner to grant access privileges to other roles. RBAC involves assigning roles to users and then granting privileges to those roles. Through roles, Snowflake manages which users have access to specific objects and what actions they can perform, which is central to security and governance in the Snowflake environment.References: Snowflake Documentation on Access Control,


NEW QUESTION # 238
A Snowflake user creates this stored procedure:
PROCEDURE SALES_REPORT(MONTH INT, YEAR INT);
Which statement will remove the stored procedure?

Answer: B

Explanation:
The correct answer is B. DROP PROCEDURE SALES_REPORT(INT, INT); .
In Snowflake, stored procedures can be overloaded. This means multiple procedures can have the same name but different argument signatures. Because of this, when dropping a stored procedure, the procedure name and argument data types are used to identify the exact procedure to remove.
Why B is correct:
The procedure was created with two arguments:
MONTH INT, YEAR INT
When dropping the procedure, Snowflake uses the argument data types, not the argument names. Therefore, the correct statement is:
DROP PROCEDURE SALES_REPORT(INT, INT);
Why the other options are incorrect:
A). The argument names are not included in the drop signature. Snowflake expects the argument data types.
C). This includes only argument names without data types, which is not the correct procedure signature syntax.
D). This does not identify the procedure signature and is not sufficient when dropping a stored procedure.
Official Snowflake documentation reference:
Snowflake documentation for DROP PROCEDURE explains that the procedure name and argument data types are required to identify the stored procedure to drop.
Reference: Snowflake Documentation - DROP PROCEDURE; Snowflake Documentation - Stored procedures; SnowPro Core Study Guide - SQL and Snowflake Objects.
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NEW QUESTION # 239
The following JSON is stored in a VARIANT column called src of the CAR_SALES table:

A user needs to extract the dealership information from the JSON.
How can this be accomplished?

Answer: B

Explanation:
In Snowflake, to extract a specific element from a JSON stored in a VARIANT column, the correct syntax is to use the dot notation. Therefore, the query select src.dealership from car_sales; will return the dealership information contained within each JSON object in the src column.
References: For a detailed explanation, please refer to the Snowflake documentation on querying semi- structured data.


NEW QUESTION # 240
Which data types can be used in Snowflake to store semi-structured data? (Select TWO)

Answer: A,E

Explanation:
Snowflake supports the storage of semi-structured data using the ARRAY and VARIANT data types.
The ARRAY data type can directly contain VARIANT, and thus indirectly contain any other data type, including itself. The VARIANT data type can store a value of any other type, including OBJECT and ARRAY, andis often used to represent semi-structured data formats like JSON, Avro, ORC, Parquet, or XML34.
References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 241
What happens when a table or schema with a standard retention period is dropped?

Answer: C

Explanation:
In Snowflake, when a table or schema is dropped, it is not immediately deleted but retained for the configured data retention period, also known as "Time Travel." During this period, users can use commands like UNDROP to recover the dropped object if needed. After the retention period expires, the object is then moved to Fail-safe (if applicable) for an additional seven days before being permanently removed. This feature is intended to provide data protection and recovery options in case of accidental deletions.


NEW QUESTION # 242
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