COF-C02 SnowPro Core Certification Exam Knowledge Points Directory

This page serves as a structured knowledge point directory organized according to the official exam objectives.

Each topic below links to a dedicated learning page designed to support topic-based study, technical understanding, and certification exam preparation.

Snowflake AI Data Cloud Features & Architecture

1. What “AI Data Cloud” Means

2. Multi-Cluster, Shared Data Architecture

3. Key Platform Features (You Should Know by Name)

Account Access and Security

1. Identity & Authentication

2. Authorization – RBAC Model

3. Network Security

4. Encryption & Key Management

5. Data Governance & Fine-Grained Controls

Performance and Cost Optimization Concepts

1. Warehouse Sizing & Configuration

2. Concurrency and Multi-Cluster Warehouses

3. Micro-Partitions & Clustering

4. Query Optimization Practices

5. Cost Optimization Levers

Data Loading and Unloading

1. Stages

2. File Formats

3. Bulk Loading with COPY INTO <table>

4. Continuous Loading – Snowpipe / Snowpipe Streaming

5. Data Unloading (Export)

Data Transformations

1. Classic ELT with SQL

2. Streams & Tasks (CDC and Scheduling)

3. Dynamic Tables

4. Snowpark & Procedural Logic

Summary of Concepts to Know for the Exam

Data Protection and Data Sharing

1. Continuous Data Protection: Time Travel & Fail-safe

2. Data Durability & Availability

3. Data Encryption

4. Data Governance & Privacy Protection

5. Secure Data Sharing

Snowflake AI Data Cloud Features & Architecture (Additional Content)

1. Snowgrid (Cross-Cloud and Cross-Region Control Layer)

2. Transaction Model (ACID and MVCC)

3. External Tables

4. Iceberg Table Support

5. Materialized Views (Advanced Details)

6. Search Optimization Service

Account Access and Security (Additional Content)

1. Session Policies

2. Access History (Object-Level and Column-Level Audit Logging)

3. Object Ownership Model

4. Future Grants

5. Database- and Schema-Level Privileges

6. Security Integrations

Performance and Cost Optimization Concepts (Additional Content)

1. Three Types of Caching (Result Cache, Metadata Cache, Data Cache)

2. Query Profile Pruning Metrics

3. Scale-Up vs Scale-Out (Warehouse Tuning)

4. Materialized Views — Performance and Cost Behavior

5. Dynamic Tables (Performance–Cost Model)

6. Query Acceleration Service (QAS)

7. Automatic Clustering — Cost Considerations

8. COPY INTO File Size Best Practices

Data Loading and Unloading (Additional Content)

1. Key COPY INTO Options (Advanced)

2. Load Monitoring and History

3. Storage Integrations for External Stages

4. Transformations During LOAD

5. MERGE for Upsert Pipelines

6. Snowpipe Cost and Behavior Details

7. Snowpipe Streaming Cost Model

8. Unloading Advanced Options

Data Transformations (Additional Content)

1. Stream Limitations and Behavior

2. Task Limitations and Scheduling Rules

3. Dynamic Table Constraints and Behavior

4. Materialized View Restrictions

5. Search Optimization and Transformation Performance

6. Stored Procedure Execution Behavior and Limits

7. UDF and UDTF Execution Rules

8. Governance and Policy Interaction with Transformations

Data Protection and Data Sharing (Additional Content)

1. Snowgrid (Global Cross-Cloud Governance Layer)

2. Replication Types and Characteristics

3. Failover Groups

4. Reader Accounts (Critical Sharing Feature)

5. Secure Data Sharing Limitations

6. Data Retention, Cloning, and Historical Data Behavior

7. Customer-Managed Key Behavior in Encryption