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Snowflake COF-C03 Exam Syllabus Topics:

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

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q1092-Q1097):

NEW QUESTION # 1092
In Snowflake ' s data security framework, how does column-level security contribute to the protection of sensitive information? (Select TWO).

A. Column-level security allows the application of a masking policy to a column within a table or view.
B. Column-level security supports encryption of the entire database.
C. Column-level security ensures that only the table owner can access the data.
D. Implementation of column-level security will optimize query performance.
E. Column-level security limits access to specific columns within a table based on user privileges

Answer: A,E

Explanation:
Column-level security in Snowflake enhances data protection by restricting access and applying masking policies to sensitive data at the column level.
Limiting Access Based on User Privileges:
Column-level security allows administrators to define which users or roles have access to specific columns within a table.
This ensures that sensitive data is only accessible to authorized personnel, thereby reducing the risk of data breaches.
Application of Masking Policies:
Masking policies can be applied to columns to obfuscate sensitive data.
For example, credit card numbers can be masked to show only the last four digits, protecting the full number from being exposed.
Snowflake Documentation: Column-Level Security
Snowflake Documentation: Dynamic Data Masking

NEW QUESTION # 1093
Which object can be used to query the data loading history for the last 365 days for a Snowflake account?

A. The database INFORMATION_SCHEMA.DATA_TRANSFER_HISTORY table function
B. The database INFORMATION_SCHEMA.COPY_HISTORY table function
C. The SNOWFLAKE.ACCOUNT_USAGE.DATA_TRANSFER_HISTORY view
D. The SNOWFLAKE.ACCOUNT_USAGE.COPY_HISTORY view

Answer: D

NEW QUESTION # 1094
What is a responsibility of Snowflake's virtual warehouses?

A. Management of the storage layer
B. Metadata management
C. Query execution
D. Infrastructure management
E. Query parsing and optimization

Answer: C

Explanation:
The primary responsibility of Snowflake's virtual warehouses is to execute queries. Virtual warehouses are one of the key components of Snowflake's architecture, providing the compute power required to perform data processing tasks such as running SQL queries, performing joins, aggregations, and other data manipulations.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Virtual Warehouses1

NEW QUESTION # 1095
Which database object can be created as temporary for a given session?

A. Stored procedure
B. User-Defined Function (UDF)
C. Stage
D. View

Answer: C

NEW QUESTION # 1096
Which DDL/DML operation is allowed on an inbound data share?

A. ALTER TA3LE
B. SELECT
C. MERGE
D. INSERT INTO

Answer: B

Explanation:
In Snowflake, an inbound data share refers to the data shared with an account by another account. The only DDL/DML operation allowed on an inbound data share is SELECT. This restriction ensures that the shared data remains read-only for the consuming account, maintaining the integrity and ownership of the data by the sharing account.
References:
Snowflake Documentation: Using Data Shares

NEW QUESTION # 1097
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