Snowflake Updated COF-C02 Exam Questions and Answers by santiago

https://docs.snowflake.com/en/sql-reference/data-sharing-usage

OPERATE. In Snowflake, to pause or resume a pipe, the OPERATE privilege is required on the pipe object. The OPERATE privilege allows users to perform operational tasks on specific objects such as pipes, tasks, and streams. Specifically, for a pipe, the OPERATE privilege enables the user to execute the ALTER PIPE ... SET PIPE_EXECUTION_PAUSED=TRUE or ALTER PIPE ... SET PIPE_EXECUTION_PAUSED=FALSE commands, which are used to pause or resume the pipe, respectively.

Here's a step-by-step explanation and reference:

• Understanding Pipe Operations: Pipes in Snowflake are used for continuous data loading from staging areas into Snowflake tables. Managing pipes involves operations such as creating, monitoring, pausing, and resuming.
• Privileges for Pipe Operations: The OPERATE privilege is essential for pausing and resuming pipes. This privilege is more specific than general object access privileges like SELECT or USAGE and is tailored for operational control.
• Granting the OPERATE Privilege: To grant the OPERATE privilege on a pipe, an administrator or a user with the necessary grants can execute the SQL command:

GRANT OPERATE ON PIPE TO ROLE ;

• Pausing and Resuming Pipes: Once the OPERATE privilege is granted, the user or role can pause the pipe using:

ALTER PIPE SET PIPE_EXECUTION_PAUSED=TRUE;

To resume the pipe, they use:

ALTER PIPE SET PIPE_EXECUTION_PAUSED=FALSE;

Snowflake's governance features vary across different editions, but the OBJECT_DEPENDENCIES view is supported by all Snowflake editions. This feature is part of Snowflake's Information Schema and is designed to help users understand the dependencies between various objects in their Snowflake environment.

The OBJECT_DEPENDENCIES view provides a way to query and analyze the relationships and dependencies among different database objects, such as tables, views, and stored procedures. This is crucial for governance, as it allows administrators and data engineers to assess the impact of changes, understand object relationships, and ensure proper management of data assets.

Object tags, masking policies, and row access policies are more advanced features that offer fine-grained data governance capabilities such as tagging objects for classification, dynamically masking sensitive data based on user roles, and controlling row-level access to data. These features may have varying levels of support across different Snowflake editions, with some features being exclusive to higher-tier editions.

Snowflake implements Discretionary Access Control (DAC) by using a role-based access control model. In this model, access privileges are not directly assigned to individual objects or users but are encapsulated within roles. These roles are then assigned to users, effectively granting them the access privileges contained within the role. This approach allows for granular control over database access, making it easier to manage permissions in a scalable and flexible manner.References: Snowflake Documentation on Access Control