Free Practice Questions for Snowflake COF-C03 Certification

    🔄 Last checked for updates February 16th, 2026

    Study with 570 exam-style practice questions designed to help you prepare for the Snowflake SnowPro Core Certification (COF-C03). All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.

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    Exam Information

    Exam Details

    Key information about Snowflake SnowPro Core Certification (COF-C03)

    Official study guide:

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    level:

    associate (intermediate)

    renewal:

    Through the Snowflake Continuing Education (CE) program, including eligible Instructor-Led Training Courses or earning an equivalent or higher-level SnowPro Certification.

    prerequisites:

    At least 6 months of experience using the Snowflake platform; familiarity with basic ANSI SQL. Assumes knowledge of cloud fundamentals and basic SQL syntax.

    target audience:

    Professionals with six months of practical, hands-on experience in the Snowflake AI Data Cloud, capable of developing and managing secure, scalable Snowflake solutions.

    certification validity:

    2 years

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Snowflake AI Data Cloud Features and Architecture

    Subdomain 1.1: Describe and use the Snowflake architecture

    - Cloud Services layer - Compute layer - Database Storage layer - Compare and contrast the different Snowflake editions

    Subdomain 1.2: Use Snowflake Interfaces and tools

    - Snowsight - Snowflake CLI - IDE integrations (e.g., Visual Studio Code)

    Subdomain 1.3: Differentiate Snowflake object hierarchy and types

    - Organization and account objects - Database objects - Stages - Schemas - Tables - Views - User-Defined Functions (UDFs) - File formats - Stored procedures - Pipes - Shares - Sequences - ML models - Applications - Session and context variables - Parameter hierarchy - Parameter precedence

    Subdomain 1.4: Configure virtual warehouses

    - Types - Snowpark Optimized - Standard (Gen 1 and Gen 2) - Default warehouse for Notebooks* (Feature will not be tested until it’s globally GA) - Scaling policies - Warehouse type and configurations based on use cases - Ad-hoc queries - Data loading - BI and reporting - Best practices - Sizing (up, down) - Scaling (in, out) - Auto-Suspend - Workloads - Different teams - High concurrency - Complex queries

    Subdomain 1.5: Explain Snowflake storage concepts

    - Micro-partitions - Data clustering - Table types - Permanent - Temporary - Transient - Apache Iceberg TM - External - Dynamic - Views types - Standard - Materialized - Secure

    Subdomain 1.6: Explain AI/ML and application development features

    - Snowflake Notebooks - Streamlit in Snowflake - Snowpark - Snowflake Cortex - AI SQL functions - Cortex Search - Cortex Analyst - Snowflake ML

    Domain 2: Account Management and Data Governance

    Subdomain 2.1: Explain Snowflake security model and principles

    - Role-Based Access Control (RBAC) - Securable object hierarchy - Discretionary access control (DAC) - Network Policies - Authentication - Multi-Factor Authentication (MFA) - Federated Authentication - Single Sign-on (SSO) - OAuth - Key-pair authentication - System-defined roles - Functional roles - Account roles - Database roles - Custom roles - Secondary roles - Account identifiers - Logging and tracing

    Subdomain 2.2: Define data governance features and how they are used

    - Data masking - Row-level security - Column-level security - Object tagging - Privacy policies - Trust Center - Encryption key management - Alerts - Notifications - Data replication and failover - Data lineage

    Subdomain 2.3: Explain monitoring and cost management

    - Resource Monitors - Cost and warehouse monitoring - Calculating virtual warehouse credit usage - ACCOUNT_USAGE schema

    Domain 3: Data Loading, Unloading, and Connectivity

    Subdomain 3.1: Perform data loading and unloading

    - File formats - Create and use stages - Internal stages - External stages - Server-side encryption - Directory tables - COPY INTO command - Error handling options

    Subdomain 3.2: Perform automated data ingestion

    - Snowpipe - Snowpipe streaming - Streams - Tasks - Dynamic tables - Openflow (Feature will not be tested until it’s globally GA)

    Subdomain 3.3: Identify the different Snowflake Connectors and integrations

    - Snowflake drivers - Snowflake connectors - Storage integration - API integration - Git integration

    Domain 4: Performance Optimization, Querying, and Transformation

    Subdomain 4.1: Evaluate query performance

    - Query Performance Tuning - Query Profile/Query insights - Bytes spilled to storage - Inefficient pruning - Exploding joins - Queuing - SNOWFLAKE.ACCOUNT_USAGE views (Snowflake database views) - Query attribution - Query history - Workload management best practices - Grouping similar workloads

    Subdomain 4.2: Optimize query performance

    - Query acceleration service - Search optimization service - Clustering keys - Materialized views

    Subdomain 4.3: Use Snowflake caching

    - Query result cache - Metadata cache - Warehouse cache

    Subdomain 4.4: Perform data transformation techniques

    - Using data - Structured - Semi-structured - Unstructured - Aggregate functions - Applying SQL for query optimization - Window functions

    Domain 5: Data Collaboration

    Subdomain 5.1: Explain data collaboration and protection

    - Data replication and failover - Secure data sharing features - Cloning - Time Travel - Fail-safe

    Subdomain 5.2: Explain Snowflake's data sharing capabilities

    - Accounts - Provider - Consumer - Reader accounts - Secure Data Sharing - Sharing and resharing - Direct shares - Data clean rooms

    Subdomain 5.3: Share data using the Snowflake Marketplace and listings

    - Snowflake Marketplace - Listings - Private - Public - Native Apps

    Techniques & products

    Snowflake AI Data Cloud
    Cloud Services
    Compute Layer
    Database Storage Layer
    Snowflake Editions
    Snowsight
    Snowflake CLI
    IDE Integrations
    Visual Studio Code
    Virtual Warehouses (Snowpark Optimized, Standard)
    Micro-partitions
    Data Clustering
    Table Types (Permanent, Temporary, Transient, Apache Iceberg, External, Dynamic)
    Views (Standard, Materialized, Secure)
    Snowflake Notebooks
    Streamlit in Snowflake
    Snowpark
    Snowflake Cortex (AI SQL functions, Cortex Search, Cortex Analyst)
    Snowflake ML
    Role-Based Access Control (RBAC)
    Discretionary Access Control (DAC)
    Network Policies
    Multi-Factor Authentication (MFA)
    Federated Authentication
    Single Sign-on (SSO)
    OAuth
    Key-pair Authentication
    Data Masking (Row-level, Column-level)
    Object Tagging
    Privacy Policies
    Trust Center
    Encryption Key Management
    Alerts
    Notifications
    Data Replication
    Failover
    Data Lineage
    Resource Monitors
    ACCOUNT_USAGE Schema
    Stages (Internal, External)
    COPY INTO command
    Snowpipe
    Snowpipe Streaming
    Streams
    Tasks
    Dynamic Tables
    Snowflake Drivers
    Snowflake Connectors
    Storage Integration
    API Integration
    Git Integration
    Query Profile
    Query Insights
    Query Acceleration Service
    Search Optimization Service
    Clustering Keys
    Materialized Views
    Query Result Cache
    Metadata Cache
    Warehouse Cache
    Structured Data
    Semi-structured Data
    Unstructured Data
    Aggregate Functions
    Window Functions
    Secure Data Sharing
    Cloning
    Time Travel
    Fail-safe
    Snowflake Marketplace
    Listings (Private, Public)
    Native Apps

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