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

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Question 171

What feature of Snowflake Continuous Data Protection can be used for maintenance of historical data?

A.Time Travel
B.Fail-safe
C.Network policies
D.Access control

Correct Answer: A

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Question 172

What is a feature of column-level security in Snowflake?

A.Role access policies
B.Network policies
C.Internal tokenization
D.External tokenization

Correct Answer: A

Column-level security in Snowflake is implemented through Role Access Policies. These policies allow administrators to control access to specific columns of a table or view based on the role of the user accessing the data. By applying a role access policy to a column, administrators can ensure that sensitive information remains secure, and only users with the appropriate roles can view or query the data in that column. This feature enhances the security model by providing fine-grained access control at the column level.
References:
* Snowflake Documentation: Implementing Column-level Security

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Question 173

Which type of role can be granted to a share?

A.Account role
B.Custom role
C.Database role
D.Secondary role

Correct Answer: B

In Snowflake, shares are used to share data between Snowflake accounts. When creating a share, it is possible to grant access to the share to roles within the Snowflake account that is creating the share. The type of role that can be granted to a share is a Custom role. Custom roles are user-defined roles that account administrators can create to manage access control in a more granular way. Unlike predefined roles such as ACCOUNTADMIN or SYSADMIN, custom roles can be tailored with specific privileges to meet the security and access requirements of different groups within an organization.
Granting a custom role access to a share enables users associated with that role to access the shared data if the share is received by another Snowflake account. It is important to carefully manage the privileges granted to custom roles to ensure that data sharing aligns with organizational policies and data governance standards.
Reference:
Snowflake Documentation on Shares: Shares
Snowflake Documentation on Roles: Access Control

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Question 174

Which data type can be used for floating-point numbers without losing precision?

A.BINARY
B.VARIANT
C.INTEGER
D.DOUBLE

Correct Answer: D

In Snowflake, the DOUBLE data type is used for floating-point numbers and can represent a wide range of values without losing precision. This data type is ideal for storing numerical values that require decimal precision.
Define the Column: When creating a table, specify the column with the DOUBLE data type to store floating-point numbers.
CREATE TABLE example_table (
id INTEGER,
value DOUBLE
);
Insert Data: Insert floating-point numbers into the DOUBLE column.
INSERT INTO example_table (id, value) VALUES (1, 123.456);
Reference:
Snowflake Documentation: Data Types
Snowflake Documentation: Numeric Data Types

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Question 175

Which of the following statements apply to Snowflake in terms of security? (Choose two.)

A.Snowflake leverages a Role-Based Access Control (RBAC) model.
B.Snowflake requires a user to configure an IAM user to connect to the database.
C.All data in Snowflake is encrypted.
D.Snowflake can run within a user's own Virtual Private Cloud (VPC).
E.All data in Snowflake is compressed.

Correct Answer: A,C

Snowflake uses a Role-Based Access Control (RBAC) model to manage access to data and resources. Additionally, Snowflake ensures that all data is encrypted, both at rest and in transit, to provide a high level of security for data stored within the platform. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide

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