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Snowflake COF-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Databases, Tables & Views | 18% | - Clustering and micro-partitions
- Table types (permanent, transient, temporary)
- Column types and sequences
- Data manipulation (DML operations)
- Views (standard, materialized, secure)
- Stored procedures and UDFs
|
| Topic 2: Time Travel & Cloning | 10% | - UNDROP and historical data access
- Fail-safe concepts
- Time travel concepts and retention
- Zero-copy cloning
|
| Topic 3: Data Sharing | 12% | - Shares and reader accounts
- Reader account management
- Private sharing vs. Data Exchange
- Data listing marketplace
|
| Topic 4: Data Loading & Unloading | 15% | - Continuous loading with Snowpipe
- Bulk loading with COPY command
- File formats (JSON, CSV, Parquet, AVRO)
- Data ingestion best practices
- Data unloading and staging
|
| Topic 5: Security & Access Control | 10% | - Row-level and column-level security
- Authorization (roles, privileges)
- Governance best practices
- Masking policies
- Authentication (SSO, MFA)
|
| Topic 6: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting
- Cache concepts (warehouse, result, metadata)
- Warehouse creation and configuration
- Multi-cluster warehouses
- Warehouse sizing and scaling
|
| Topic 7: Semi-Structured Data | 10% | - Array and object operations
- Parsing and flattening semi-structured data
- VARIANT data type
|
| Topic 8: Performance Optimization & Monitoring | 4% | - Resource optimization techniques
- Query history and monitoring
- Query profiling and performance tuning
|
| Topic 9: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services)
- Virtual warehouse concepts and credit usage
- Snowflake editions and features
|
| Topic 10: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy
- Resource monitors
- Organizations and accounts structure
|
Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions:
1. Which of the following are handled by the cloud services layer of the Snowflake architecture? (Choose two.)
A) Query execution
B) Authentication and access control
C) Time Travel data
D) Security
E) Data loading
2. A team loads 50 TB of historical transaction data into a large table that continues to grow. A Snowflake practitioner runs a query that filters the table to a narrow date range:
WHERE transaction_date BETWEEN ' 2025-01-01 ' AND ' 2025-01-31 '
How do micro-partitions and their metadata improve this query's performance?
A) Micro-partitions maintain column metadata, including minimum and maximum values for transaction_date, allowing Snowflake to prune micro-partitions that cannot contain matching rows.
B) Micro-partitions are fixed 500 MB storage units that guarantee even data distribution and are processed by dedicated compute clusters.
C) Micro-partitions automatically convert the transaction data into a row-based storage format that is faster for analytical queries.
D) Micro-partitions must be manually defined by applying a PARTITION BY clause to the transaction_date column.
3. Which of the following describes a Snowflake stored procedure?
A) They can only access tables from a single database.
B) They can contain only a single SQL statement.
C) They can be created to run with a caller ' s rights or an owner ' s rights.
D) They can be created as secure and hide the underlying metadata from the user.
4. Which function will convert semi-structured data to a relational data representation?
A) OBJECT_AGG
B) PARSE JSON
C) OBJECT_CONSTRUCT
D) FLATTEN
5. Network policies can be set at which Snowflake levels? (Choose two.)
A) Tables
B) Role
C) Account
D) Database
E) User
F) Schema
Solutions:
Question # 1 Answer: B,D | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C,E |