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Snowflake COF-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Topic 2: Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe |
| Topic 3: Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables |
| Topic 4: Account Management & Data Governance | 20% | - Trust Center, Data Lineage, Compliance - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption - Governance: Resource Monitors, Data Masking, Row/Column Security |
| Topic 5: Snowflake Architecture & Core Concepts | 31% | - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer |
Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions:
1. Based on a review of a Query Profile, which scenarios will benefit the MOST from the use of a data clustering key? (Select TWO.)
A) A column that appears most frequently in join operations
B) A column that appears most frequently in order by operations
C) A column that appears most frequently in aggregate operations
D) A column that appears most frequently in where operations
E) A column that appears most frequently in group by operations
2. What is the default size for a newly-provisioned Snowpark-optimized virtual warehouse ?
A) Large
B) X-Large
C) Small
D) Medium
3. 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 Snowpark-optimized warehouse
B) A multi-cluster warehouse
C) A standard warehouse
D) A size 6XL warehouse
4. Which copy option is used to include column headers when unloading data to Parquet files?
A) PARSE_HEADER = TRUE
B) SKIP_HEADER = < integer >
C) HEADER = ( ' < header_1 > ' = ' < value_1 > ' )
D) HEADER = TRUE
5. A query containing a WHERE clause is running longer than expected. The Query Profile shows that all micro- partitions being scanned How should this query be optimized?
A) Add a clustering key to the table
B) Add a Dynamic Data Masking policy to the table.
C) Create a view on the table.
D) Add a limit clause to the query.
Solutions:
| Question # 1 Answer: B,E | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A |




