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Snowflake COF-C03 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Sharing and Protection- Data replication and failover concepts
- Secure data sharing
Topic 2: Snowflake Architecture and Platform Concepts- Virtual warehouses and compute model
- Storage and data organization
- Snowflake architecture fundamentals
Topic 3: Data Loading and Unloading- Bulk data loading using stages and COPY INTO
- External and internal stages
Topic 4: Data Transformation and Processing- Streams and tasks for data pipelines
- SQL operations in Snowflake
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 (Q90-Q95):

NEW QUESTION # 90
What is the outcome of querying a VARIANT column using an invalid path?

Answer: D


NEW QUESTION # 91
When an object is created in Snowflake. who owns the object?

Answer: D

Explanation:
In Snowflake, when an object is created, it is owned by the role that is currently active. This active role is the one that is being used to execute the creation command. Ownership implies full control over the object, including the ability to grant and revoke access privileges. This is specified in Snowflake's documentation under the topic of Access Control, which states that "the role in use at the time of object creation becomes the owner of the object." References:
Snowflake Documentation: Object Ownership


NEW QUESTION # 92
A JSON document is stored in the source_colum of type VARIANT. The document has an array called elements. The array contains the name key that has a string value How can a Snowflake user extract the name from the first element?

Answer: D

Explanation:
In Snowflake, when dealing with semi-structured data such as a JSON document stored in aVARIANTcolumn, the proper syntax to extract a value is to use the column name followed by the path to the specific element. Since arrays in JSON are zero-indexed, the first element is referenced with[0]. Therefore, to extract thenamefrom the first element of theelementsarray, the correct syntax isSource_column:elements[0] .
name.
References: Snowflake Documentation on Semi-Structured Data


NEW QUESTION # 93
What is a key difference between JSON and CSV file formats when loading data? Select TWO.

Answer: C,D

Explanation:
The correct answers are A. CSV stores flat, tabular data and E. JSON can be loaded into a VARIANT column without predefined schema .
Important correction:
The provided answer A, B is not correct. CSV does not natively support complex semi-structured data types such as arrays and objects. JSON does.
Why A is correct:
CSV is a delimited, flat file format commonly used for structured, tabular data. Each row usually represents a record, and each field is separated by a delimiter such as a comma.
Why E is correct:
JSON is semi-structured data and can be loaded into a Snowflake VARIANT column. This allows Snowflake to store JSON objects and arrays without requiring every nested field to be predefined as a relational column.
Example:
CREATE TABLE json_data (
src VARIANT
);
COPY INTO json_data
FROM @my_stage
FILE_FORMAT = (TYPE = JSON);
Why the other options are incorrect:
B). CSV does not natively support arrays and objects. JSON supports nested structures such as arrays and objects.
C). JSON does not need to be converted to CSV before it can be queried in Snowflake. Snowflake can query JSON data stored in VARIANT, OBJECT, or ARRAY columns.
D). CSV files do not automatically detect and apply Snowflake table data types during loading. The target table schema and file format options control how data is interpreted.
Official Snowflake documentation reference:
Snowflake documentation explains that CSV is used for structured data, while semi-structured formats such as JSON can be loaded into VARIANT columns and queried using semi-structured data syntax.
Reference: Snowflake Documentation - Semi-structured data; Snowflake Documentation - Loading JSON data; Snowflake Documentation - CSV file format options; SnowPro Core Study Guide - Data Loading and Unloading.
==


NEW QUESTION # 94
How can unstructured data be processed in a Snowflake stage? (Select TWO).

Answer: D


NEW QUESTION # 95
......

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