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Snowflake COF-C03 Exam Syllabus Topics:

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

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q99-Q104):

NEW QUESTION # 99
When is the VARIANT data type suitable when using semi-structured data? (Select TWO).

A. When there is a need for a predefined schema which cannot be changed after it is created.
B. When there is a need to add or modify elements within the data structure without interrupting the session.
C. When the data contains nested data structures like JSON or XML.
D. When the data consists of images and videos.
E. When the data set is huge and the order of the data elements in the data set does not change.

Answer: B,C

NEW QUESTION # 100
How can a Snowflake user traverse semi-structured data?

A. Insert a colon (:) between the VARIANT column name and any first-level element.
B. Insert a colon (:) between the VARIANT column name and any second-level element. C. Insert a double colon (: :) between the VARIANT column name and any first-level element.
C. Insert a double colon (: :) between the VARIANT column name and any second-level element.

Answer: A

Explanation:
To traverse semi-structured data in Snowflake, a user can insert a colon (:) between the VARIANT column name and any first-level element. This path syntax is used to retrieve elements in a VARIANT column4.

NEW QUESTION # 101
A user wants to access stored in a stage without authenticating into Snowflake.
Which type of URL should be used?

A. File URL
B. Staged URL
C. Pre-signed URL
D. Scoped URL

Answer: C

Explanation:
A pre-signed URL provides a way to access objects stored in a stage without requiring authentication to Snowflake. This URL contains all the necessary information for access control, including an expiration time, and it's signed by the service ' s credentials. This mechanism allows users or applications to access specific files stored in a cloud storage location (stage) directly, bypassing the need to authenticate into Snowflake, ensuring secure and temporary access to the data.
References: Snowflake Documentation on Stages and Data Loading

NEW QUESTION # 102
Which feature allows a user to review the monthly projected costs of a Snowflake resource against the monthly actual costs?

A. Auto-suspend
B. Scaling policy
C. Resource monitor
D. Budgets

Answer: D

Explanation:
Snowflake Budgets is the cost-management feature designed around a monthly spending limit. It tracks credit consumption for an account or a defined group of supported objects, presents spending against the configured monthly budget, and forecasts whether current usage is likely to exceed that limit.
Notifications and custom actions can be based on projected or actual spending. Auto-suspend controls warehouse idle time, a scaling policy governs multi-cluster behavior, and a resource monitor tracks warehouse credit usage and can notify or suspend warehouses at thresholds. Those features do not provide the same monthly actual-versus-projected budget view. Therefore, Budgets is the appropriate feature for reviewing current spending and projected monthly cost for a Snowflake resource or resource group.

NEW QUESTION # 103
What is the EXPLAIN function used for in Snowflake?

A. To execute a SQL statement and provide a history of the query execution, including the number of cloud services credits consumed
B. To compile a SQL statement and provide an execution plan using a virtual warehouse
C. To compile a SQL statement and provide an execution plan while consuming cloud service credits
D. To execute a SQL statement and provide a history of the query execution and the number of compute credits consumed

Answer: C

Explanation:
The correct answer is B. To compile a SQL statement and provide an execution plan while consuming cloud service credits .
The EXPLAIN command returns the logical execution plan for a SQL statement. It compiles the SQL statement but does not execute it. Because the statement is compiled and optimized by Snowflake's cloud services layer, it does not require a running virtual warehouse.
Why B is correct:
EXPLAIN generates an execution plan without running the query. The compile and optimization work happens in the cloud services layer. Cloud services usage may apply according to Snowflake's normal cloud services credit rules.
Why the other options are incorrect:
A). EXPLAIN does not require a virtual warehouse to execute the query because the query is not actually run.
C). EXPLAIN does not execute the SQL statement and does not provide actual query history or compute credit consumption.
D). EXPLAIN does not execute the statement or return execution history.
Official Snowflake documentation reference:
Snowflake documentation describes EXPLAIN as a command that returns the logical execution plan for a SQL statement without executing the statement. Snowflake's cloud services layer handles query parsing and optimization.
Reference: Snowflake Documentation - EXPLAIN; Snowflake Documentation - Snowflake architecture cloud services layer; SnowPro Core Study Guide - Performance Optimization.
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NEW QUESTION # 104
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