Snowflake Updated COF-C02 Exam Questions and Answers by aylin

The Snowpark-optimized warehouse is designed with significantly higher memory per node, making it ideal for machine learning (ML) training and other memory-intensive workloads. Snowpark-optimized warehouses provide the necessary computational power and memory for complex, large-scale data processing tasks.

Standard and multi-cluster warehouses do not offer the same memory advantage, while the 6XL warehouse is large but not specifically optimized for memory-intensive operations.

Tasks in Snowflake are used to create workflows or schedules for executing SQL statements, including transformations, in a specific order.

By defining dependencies between tasks, users can ensure they execute in a defined sequence.

Example:

sql

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CREATE TASK task_1

SCHEDULE = '5 MINUTE'

AS

INSERT INTO transformed_table SELECT * FROM raw_table;

CREATE TASK task_2

AFTER task_1

AS

DELETE FROM raw_table WHERE processed = TRUE;

Tasks can also run on a fixed schedule or be triggered by preceding tasks in a chain.

Why Other Options Are Incorrect:

A. Pipes: Automates data loading but does not handle transformation workflows.

C. Streams: Tracks table changes but does not schedule or sequence transformations.

D. Sequences: Generate unique numbers, unrelated to task scheduling or transformations.

References:

Snowflake Tasks Documentation

Consumers of a shared database in Snowflake can:

Execute SELECT statements (D): Consumers can query the shared tables directly.

Join the data (E): Consumers can join shared tables with other tables in their account.

Limitations for Consumers:

Cannot modify shared data: Data sharing is read-only for consumers.

No cloning or Time Travel: Consumers cannot clone shared tables or use Time Travel.

References:

Snowflake Documentation: Secure Data Sharing

Data Sharing Features

Snowflake's Secure Data Sharing enables sharing of data objects (e.g., tables and secure views) with other Snowflake accounts without copying or transferring the data.

Secure views are sharable because they enforce access control and prevent unauthorized access to underlying data.

Why Other Options Are Incorrect:

B. Materialized view: Materialized views cannot be shared via Secure Data Sharing.

C. External function: External functions are not supported for Secure Data Sharing.

D. User-Defined Function (UDF): UDFs cannot be shared.

References:

Secure Data Sharing