COF-R02 Exam Format | Course Contents | Outline | Syllabus | Objectives

COF-R02 Exam Syllabus & Study Guide

Before you start practicing with our exam simulator, it is essential to understand the official COF-R02 exam objectives. This course outline serves as your roadmap.

The information below reflects the 2026 syllabus defined by SnowFlake.

Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.

SnowFlake COF-R02 Snowflake SnowPro Core Recertification - Domain 1: Snowflake AI Data Cloud Features and Architecture (25%) - key features of the Snowflake AI Data Cloud. - Elastic storage - Elastic compute - Snowflake's three distinct layers - Cloud partner categories - Overview of Snowflake editions - tools and user interfaces. - Snowsight - SnowSQL - Snowflake connectors - Snowflake drivers - Snowpark - SnowCD - catalog and objects. - Databases - Stages - Schema types - Table types - View types - Data types - User Defined Functions (UDFs) - User Defined Table Functions (UDTFs) - Stored procedures - Streams - Tasks - Pipes - Shares - Sequences - storage concepts. - Micro-partitions - Data clustering - Data storage monitoring - Domain 2: Account Access and Security (20%) - security principles. - Network security and policies - Multi-Factor Authentication (MFA) - Federated authentication - Key pair authentication - Single Sign-On (SSO) - Define the entities and roles that are used in Snowflake. - Overview of access control - Access control frameworks - Access control privileges - how privileges can be granted and revoked - Explain role hierarchy and privilege inheritance - data governance capabilities in Snowflake. - Accounts - Organizations - Secure views - Secure functions - Information schemas - Access history - Tracking read/write operations - Overview of row/column-level security - Object tags - Domain 3: Performance Concepts (15%) - Explain the use of the Query Profile. - Explain plans - Data spilling - Use of the data cache - Micro-partition pruning - Query history - Explain virtual warehouse configurations. - Types of warehouses - Multi-clustering warehouses - Scaling policies - Scaling modes - Warehouse sizing - Warehouse settings and access - virtual warehouse performance tools. - Monitoring warehouse loads - Scaling up compared to scaling out - Resource monitors - Query acceleration service - Optimize query performance. - Describe the use of materialized views - Use of specific SELECT commands - Clustering - Search optimization service - Persisted query results - Understanding the impact of different types of caching - Metadata cache - Result cache - Warehouse cache - Domain 4: Data Loading and Unloading (10%) - Define concepts and best practices that should be considered when loading data. - Stages and stage types - File size and formats - Folder structures - Ad hoc/bulk loading - Snowpipe - different commands used to load data and when they should be used. - CREATE STAGE - CREATE FILE FORMAT - CREATE PIPE - CREATE EXTERNAL TABLE - COPY INTO - INSERT/INSERT OVERWRITE - PUT - VALIDATE - Define concepts and best practices that should be considered when unloading data. - File size and formats - Overview of compression methods - Empty strings and NULL values - Unloading to a single file - Unloading relational tables - different commands used to unload data and when they should be used. - GET - LIST - COPY INTO - CREATE STAGE - CREATE FILE FORMAT - Domain 5: Data Transformations (20%) - Explain how to work with standard data. - Estimation functions - Sampling - SAMPLE command - /TABLESAMPLE command - Sampling methods - Fraction-based - Fixed-size - Supported function types - System functions - Table functions - External functions - User-Defined Functions (UDFs) - Stored procedures - Streams - Tasks - Explain how to work with semi-structured data. - Supported data formats, data types, and sizes - VARIANT column - Flattening the nested structure - FLATTEN command - LATERAL FLATTEN command - Semi-structured data functions - ARRAY/OBJECT creation and manipulation - Extracting values - Type predicates - Explain how to work with unstructured data. - Define and use directory tables - SQL file functions - Types of URLs available to access files - the purpose of User-Defined Functions (UDFs) for data analysis - Domain 6: Data Protection and Data Sharing (10%) - Continuous Data Protection with Snowflake. - Time Travel - Fail-safe - Data encryption - Cloning - Replication - data sharing capabilities. - Account types - Snowflake Marketplace - Data Exchange - Access control options - DDL commands to create and manage shares - Privileges required for working with shares - Secure Data Sharing (for example, Direct Share, Listing)