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Snowflake COF-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Time Travel & Cloning | 10% | - Fail-safe concepts - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access |
| Topic 2: Data Sharing | 12% | - Shares and reader accounts - Reader account management - Data listing marketplace - Private sharing vs. Data Exchange |
| Topic 3: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse sizing and scaling - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Warehouse creation and configuration |
| Topic 4: Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Column types and sequences - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Views (standard, materialized, secure) - Clustering and micro-partitions |
| Topic 5: Data Loading & Unloading | 15% | - Data ingestion best practices - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging - Continuous loading with Snowpipe |
| Topic 6: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Topic 7: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Resource optimization techniques - Query history and monitoring |
| Topic 8: Security & Access Control | 10% | - Row-level and column-level security - Authentication (SSO, MFA) - Masking policies - Governance best practices - Authorization (roles, privileges) |
| Topic 9: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 10: Semi-Structured Data | 10% | - Array and object operations - VARIANT data type - Parsing and flattening semi-structured data |
Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions:
1. Which function can be used to convert semi-structured data into a relational representation?
A) OBJECT_KEYS
B) ARRAYS_TO_OBJECT
C) FLATTEN
D) PARSE_JSON
2. How are micro-partitions enabled on Snowflake tables?
A) Micro-partitioning is automatically performed on a table.
B) Micro-partitioning is defined by the user when a table is created.
C) Micro-partitioning requires the use of the search optimization service.
D) Micro-partitioning requires a cluster key on a table.
3. Which statements reflect valid commands when using secondary roles? (Select TWO).
A) USE SECONDARY ROLES SUSPEND
B) USE SECONDARY ROLES ADD < Role Name >
C) Use SECONDARY ROLES NONE
D) USE SECONDARY RLES ALL
E) Use SECONDARY ROLES RESUME
4. A user created a transient table and made several changes to it over the course of several days. Three days after the table was created, the user would like to go back to the first version of the table.
How can this be accomplished?
A) Use Time Travel, as long as DATA_RETENTION_TIME_IN_DAYS was set to at least 3 days.
B) Use the FAIL_SAFE parameter for Time Travel to retrieve the data from Fail-safe storage.
C) Contact Snowflake Support to have the data retrieved from Fail-safe storage.
D) The transient table version cannot be retrieved after 24 hours.
5. Which data sharing mechanism can be used to share data privately or publicly within the Snowflake Marketplace?
A) Direct share
B) Listing
C) Reader account
D) Data Exchange
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C,D | Question # 4 Answer: A | Question # 5 Answer: D |







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