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Snowflake COF-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Architecture & Core Concepts	31%	- Databases, Schemas, Objects, Data Types - Snowsight Interface, Core Platform Features - Virtual Warehouses, Clustering, Caching - Cloud Services Layer, Compute Layer, Storage Layer
Topic 2: Data Loading, Unloading & Connectivity	18%	- External Integrations, Connectors, SnowSQL - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe
Topic 3: Performance Optimization, Querying & Transformation	21%	- Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data
Topic 4: Data Collaboration & Protection	10%	- Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features
Topic 5: Account Management & Data Governance	20%	- Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q153-Q158):

NEW QUESTION # 153
What are benefits of using reader accounts when sharing data in Snowflake? (Select TWO)

A. Consumers can use resource monitors to track and limit costs.
B. Consumers can create and apply masking policies to unloaded data.
C. Providers can share data with consumers who do not have Snowflake accounts.
D. Consumers can use a single reader account to access data from multiple data providers.
E. Consumers can unload data using the COPY INTO < location > command.

Answer: C,D

Explanation:
Reader accounts are created by data providers for consumers who do not have their own Snowflake accounts. This allows providers to share data without requiring the consumer to create or pay for their own Snowflake account.
While a consumer can access multiple shares via a single reader account , administrative functions (like resource monitors) are managed by the provider.
Reference:
Snowflake Docs: Data Sharing: Reader Accounts

NEW QUESTION # 154
Which privilege is required on a virtual warehouse to abort any existing executing queries?

A. MODIFY
B. MONITOR
C. USAGE
D. OPERATE

Answer: D

Explanation:
The privilege required on a virtual warehouse to abort any existing executing queries isOPERATE.
TheOPERATEprivilege on a virtual warehouse allows a user to perform operational tasks on the warehouse, including starting, stopping, and restarting the warehouse, as well as aborting running queries. This level of control is essential for managing resource utilization and ensuring that the virtual warehouse operates efficiently.
References:
Snowflake Documentation on Access Control: Access Control Privileges

NEW QUESTION # 155
Which data formats are supported by Snowflake when unloading semi-structured data? (Select TWO).

A. Binary file in Avro
B. Comma-separated JSON
C. Plain text file containing XML elements
D. Binary file in Parquet
E. Newline Delimited JSON

Answer: D,E

Explanation:
Snowflake supports a variety of file formats for unloading semi-structured data, among which Parquet and Newline Delimited JSON (NDJSON) are two widely used formats.
B . Binary file in Parquet: Parquet is a columnar storage file format optimized for large-scale data processing and analysis. It is especially suited for complex nested data structures.
D . Newline Delimited JSON (NDJSON): This format represents JSON records separated by newline characters, facilitating the storage and processing of multiple, separate JSON objects in a single file.
These formats are chosen for their efficiency and compatibility with data analytics tools and ecosystems, enabling seamless integration and processing of exported data.
References:
Snowflake Documentation: Data Unloading

NEW QUESTION # 156
Which methods can be used to delete staged files from a Snowflake stage? (Choose two.)

A. Specify the TEMPORARY option when creating the file format.
B. Use the DELETE LOAD HISTORY command after the load completes.
C. Use the REMOVE command after the load completes.
D. Use the DROP < file > command after the load completes.
E. Specify the PURGE copy option in the COPY INTO < table > command.

Answer: C,E

Explanation:
To delete staged files from a Snowflake stage, you can specify the PURGE option in the COPY INTO < table
> command, which will automatically delete the files after they have been successfully loaded. Additionally, you can use the REMOVE command after the load completes to manually delete the files from the stage12.
References = DROP STAGE, REMOVE

NEW QUESTION # 157
Which function can be used to convert semi-structured data into rows and columns?

A. JSON EXTRACT PATH TEXT
B. PARSE_JSON
C. FLATTEN
D. TABLE

Answer: C

Explanation:
To convert semi-structured data into rows and columns in Snowflake, theFLATTENfunction is utilized.
FLATTEN Function: This function takes semi-structured data (e.g., JSON) and transforms it into a relational table format by breaking down nested structures into individual rows. This process is essential for querying and analyzing semi-structured data using standard SQL operations.
Example Usage:
SELECT
f.value:attribute1 AS attribute1,
f.value:attribute2 AS attribute2
FROM
my_table,
LATERAL FLATTEN(input = > my_table.semi_structured_column) f;
Snowflake Documentation on FLATTEN

NEW QUESTION # 158
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