Free Snowflake COF-C02 Exam Questions

Core Snowflake Technologies:

• Snowflake AI Data Cloud - Interoperable storage, elastic compute, Snowflake's layers, editions overview
• Snowflake Tools - Snowsight, SnowSQL, connectors, drivers, Snowpark, SnowCD, Streamlit in Snowflake, Cortex AI/ML services, SQL API
• Catalog & Objects - Databases, stages, schema types, table types, view types, data types, UDFs, UDTFs, stored procedures, Streams, Tasks, Pipes, Shares, Sequences
• Storage Concepts - Micro-partitions, data clustering, data storage monitoring
• Security - Network security policies, MFA enforcement, federated authentication, key pair authentication, SSO, access control frameworks, privileges, data governance
• Performance Optimization - Query Profile, explain plans, data spilling, cache usage, micro-partition pruning, virtual warehouse configurations, multi-clustering warehouses, scaling policies and modes, warehouse sizing, monitoring, query acceleration service, materialized views, clustering, search optimization service, persisted query results, caching (metadata, result, warehouse)
• Cost Optimization - Cost insights, table types and sizes, views, search optimization paths, storage costs, compute costs, cloud services costs, serverless features costs, replication and failover costs, resource monitors, Snowflake Budgets, cost center tagging, ACCOUNT_USAGE schema
• Data Loading - Stages and stage types, file size and formats, folder structures, ad hoc/bulk loading, Snowpipe, COPY INTO, INSERT/INSERT OVERWRITE, PUT, VALIDATE
• Data Unloading - File size and formats, compression methods, empty strings and NULL values, unloading to single file, GET, LIST, COPY INTO, CREATE STAGE, CREATE FILE FORMAT
• Data Transformations - Structured data (estimation functions, sampling, system functions, table functions, external functions, UDFs, stored procedures, Streams, Tasks), semi-structured data (VARIANT column, FLATTEN, LATERAL FLATTEN, ARRAY/OBJECT functions, type predicates), unstructured data (directory tables, SQL file functions, URL types, UDFs for unstructured data)
• Data Protection - Time Travel, Fail-safe, data encryption, Cloning, replication and failover
• Data Sharing - Account types, Snowflake Marketplace, Data Exchange, access control options, secure data sharing (direct shares, data listings)

Exam Sections (6 Main Domains with Weightings):

1. Domain 1.0: Snowflake AI Data Cloud Features and Architecture (24%) - Key features (interoperable storage, elastic compute, Snowflake's layers, editions), tools and user interfaces (Snowsight, SnowSQL, connectors, drivers, Snowpark, SnowCD, Streamlit, Cortex, SQL API), catalog and objects, storage concepts
2. Domain 2.0: Account Access and Security (18%) - Security principles (network policies, MFA, federated authentication, key pair authentication, SSO), entities and roles, access control frameworks and privileges, data governance capabilities (accounts, organizations, secure views/functions, information schemas, access history, row/column-level security, object tags, role hierarchy, privilege inheritance)
3. Domain 3.0: Performance and Cost Optimization Concepts (16%) - Query Profile usage, virtual warehouse configurations and performance tools, query performance optimization (materialized views, SELECT commands, clustering, search optimization service, persisted query results, caching), cost optimization concepts and best practices
4. Domain 4.0: Data Loading and Unloading (12%) - Loading concepts and best practices (stages, file size/formats, folder structures, ad hoc/bulk loading, Snowpipe), loading commands (CREATE STAGE, CREATE FILE FORMAT, CREATE PIPE, CREATE EXTERNAL TABLE, COPY INTO, INSERT, PUT, VALIDATE), unloading concepts and best practices, unloading commands (GET, LIST, COPY INTO, CREATE STAGE, CREATE FILE FORMAT)
5. Domain 5.0: Data Transformations (18%) - Working with structured data (estimation functions, sampling, function types, stored procedures, Streams, Tasks), semi-structured data (formats, VARIANT column, flattening, functions), unstructured data (directory tables, SQL file functions, URL types, processing with UDFs and stored procedures)
6. Domain 6.0: Data Protection and Data Sharing (12%) - Continuous Data Protection (Time Travel, Fail-safe, encryption, Cloning, replication and failover), data sharing capabilities (account types, Marketplace, Data Exchange, access control options, secure data sharing)

Core Skills Tested:

• Understanding Snowflake AI Data Cloud architecture, features, tools, and storage concepts
• Implementing and managing account access, security, and data governance in Snowflake
• Optimizing query performance and managing costs using virtual warehouses, caching, materialized views, and monitoring tools
• Loading and unloading data using stages, file formats, COPY INTO, Snowpipe, and best practices
• Transforming structured, semi-structured, and unstructured data using SQL, functions, stored procedures, Streams, and Tasks
• Protecting data using Time Travel, Fail-safe, encryption, Cloning, and replication
• Sharing data securely through Snowflake Marketplace, Data Exchange, and direct shares