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Snowflake COF-C03 Exam Syllabus Topics:

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

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q167-Q172):

NEW QUESTION # 167
Which statements reflect key functionalities of a Snowflake Data Exchange? (Choose two.)

A. A Data Exchange allows groups of accounts to share data privately among the accounts.
B. If an account is enrolled with a Data Exchange, it will lose its access to the Snowflake Marketplace.
C. The sharing of data in a Data Exchange is bidirectional. An account can be a provider for some datasets and a consumer for others.
D. A Data Exchange allows accounts to share data with third, non-Snowflake parties.
E. Data Exchange functionality is available by default in accounts using the Enterprise edition or higher.

Answer: A,C

Explanation:
A Snowflake Data Exchange allows groups of accounts to share data privately among the accounts (B), and it supports bidirectional sharing, meaning an account can be both a provider and a consumer of data (E).This facilitates secure and governed data collaboration within a selected group3.

NEW QUESTION # 168
What are the main differences between the account usage views and the information schema views? (Select TWO).

A. Account issue views contain dropped objects but information schema views do not.
B. No active warehouse to needed to query account usage views but one is needed to query information schema views.
C. Account usage views do not contain data about tables but information schema views do.
D. Data retention for account usage views is 1 year but is 7 days to 6 months for information schema views, depending on the view.
E. Information schema views are read-only but account usage views are not.

Answer: A,D

Explanation:
The account usage views in Snowflake provide historical usage data about the Snowflake account, and they retain this data for a period of up to 1 year. These views include information about dropped objects, enabling audit and tracking activities. On the other hand, information schema views provide metadata about database objects currently in use, such as tables and views, but do not include dropped objects. The retention of data in information schema views varies, but it is generally shorter than the retention for account usage views, ranging from 7 days to a maximum of 6 months, depending on the specific view.
References: Snowflake Documentation on Account Usage and Information Schema

NEW QUESTION # 169
What is a characteristic of a tag associated with a masking policy?

A. A tag can be dropped after a masking policy is assigned
B. A tag can have multiple masking policies for each data type.
C. A tag can have multiple masking policies with varying data types
D. A tag can have only one masking policy for each data type.

Answer: D

Explanation:
In Snowflake, a tag can be associated with only one masking policy for each data type. This means that for a given data type, you can define a single masking policy to be applied when a tag is used. Tags and masking policies are part of Snowflake ' s data classification and governance features, allowing for data masking based on the context defined by the tags.
Snowflake Documentation: Tag-Based Masking Policies

NEW QUESTION # 170
Which type of Snowflake virtual warehouse provides 16 times the memory for each node and is recommended for larger workloads like Machine Learning (ML) training?

A. A standard warehouse
B. A size 6XL warehouse
C. A Snowpark-optimized warehouse
D. A multi-cluster warehouse

Answer: C

Explanation:
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.

NEW QUESTION # 171
Which snowflake objects will incur both storage and cloud compute charges? (Select TWO)

A. Sequence
B. Secure view
C. Transient table
D. Clustered table
E. Materialized view

Answer: C,E

Explanation:
In Snowflake, both materialized views and transient tables will incur storage charges because they store data.
They will also incur compute charges when queries are run against them, as compute resources are used to process the queries. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 172
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