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Snowflake COF-C03 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Loading and Unloading	- Bulk data loading using stages and COPY INTO - External and internal stages
Topic 2: Snowflake Architecture and Platform Concepts	- Snowflake architecture fundamentals - Storage and data organization - Virtual warehouses and compute model
Topic 3: Performance and Optimization	- Warehouse sizing and scaling - Query optimization basics
Topic 4: Data Transformation and Processing	- SQL operations in Snowflake - Streams and tasks for data pipelines
Topic 5: Security and Access Control	- Role-based access control (RBAC) - Authentication and user management
Topic 6: 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 (Q630-Q635):

NEW QUESTION # 630
How would you determine the size of the virtual warehouse used for a task?

A. Root task may be executed concurrently (i.e. multiple instances), it is recommended to leave some margins in the execution window to avoid missing instances of execution
B. If using the stored procedure to execute multiple SQL statements, it ' s best to test run the stored procedure separately to size the compute resource first
C. Querying(select)the size of the stream content would help determine the warehouse size. For example, if querying large stream content, use a larger warehouse size
D. Since task infrastructure is based on running the task body on schedule, it ' s recommended to configure the virtual warehouse for automatic concurrency handling using Multi-cluster warehouse (MCW) to match the task schedule

Answer: D

Explanation:
The size of the virtual warehouse for a task can be configured to handle concurrency automatically using a Multi-cluster warehouse (MCW). This is because tasks are designed to run their body on a schedule, and MCW allows for scaling compute resources to match the task's execution needs without manual intervention. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 631
A Snowflake user accidentally deleted a table. The table no longer exists, but the session is within the data retention period. How can the table be restored using the LEAST amount of operational overhead?

A. Run the UNDROP command against the table.
B. Clone the database as it existed before the table was dropped.
C. Recreate the table and reload the data.
D. Clone the table schema as it existed before the table was dropped.

Answer: A

Explanation:
In Snowflake, if a table is accidentally dropped but still within the data retention period (also known as "Time Travel"), the simplest and most efficient recovery method is the UNDROP command. This command restores the deleted table to its previous state with minimal operational effort. Since Snowflake retains dropped table data for a specific retention period (up to 90 days for the Enterprise edition), UNDROP can quickly recover the table without the need for complex cloning or data reloading processes, making it ideal for accidental deletions.

NEW QUESTION # 632
What privileges are required to allow role RL_CUST_WH to start warehouse CUST_WH?

A. GRANT USAGE ON CUST_WH TO ROLE RL_CUST_WH;
B. GRANT OPERATE ON CUST_WH TO ROLE RL_CUST_WH;
C. GRANT MANAGE WAREHOUSES ON ACCOUNT TO ROLE RL_CUST_WH;
D. GRANT CREATE WAREHOUSES ON ACCOUNT TO ROLE RL_CUST_WH;

Answer: B

Explanation:
To start, resume, or suspend a warehouse, the role needs the OPERATE privilege. USAGE only allows reference to the object but not its activation.
Required Privileges for Starting a Warehouse:
* USAGE (to reference)
* OPERATE (to start/stop)
Reference:
Snowflake Docs: Warehouse Privileges

NEW QUESTION # 633
A Snowflake user creates this stored procedure:
PROCEDURE SALES_REPORT(MONTH INT, YEAR INT);
Which statement will remove the stored procedure?

A. DROP PROCEDURE SALES_REPORT(INT, INT);
B. DROP PROCEDURE SALES_REPORT;
C. DROP PROCEDURE SALES_REPORT(MONTH INT, YEAR INT);
D. DROP PROCEDURE SALES_REPORT(MONTH, YEAR);

Answer: A

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.

NEW QUESTION # 634
Which command should be used to load data incrementally based on column values that are specified in the source table or subquery?

A. MERGE
B. INSERT INTO
C. GET
D. COPY INTO

Answer: A

Explanation:
The MERGE command in Snowflake is used for incremental loading based on column values in a source table or subquery. It enables the insertion, updating, or deletion of records in a target table depending on whether matching rows are found, making it ideal for loading data that changes incrementally, such as daily updates or modifications.

NEW QUESTION # 635
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