Free Practice Questions for Snowflake SOL-C01 Certification
Study with 420 exam-style practice questions designed to help you prepare for the Snowflake SnowPro Associate: Platform (SOL-C01). 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 Associate: Platform (SOL-C01)
associate (intermediate)
Through Snowflake Continuing Education (CE) program (ILT courses or higher-level certification)
English
750 (scaled 0-1000)
Multiple Select, Multiple Choice, Interactive
An individual with 3+ months of knowledge using Snowflake
85
65
2 years
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Domain 1: Interacting with Snowflake and the Architecture
Subdomain 1.1: Outline key features and benefits of the Snowflake AI Data Cloud.
- Elastic storage - Elastic compute - Snowflake layers
Subdomain 1.2: Outline the key Snowflake user interfaces.
- Snowsight - Snowflake Notebooks - Worksheets - Python - SQL
Subdomain 1.3: Describe how to use the Snowsight user interface.
Subdomain 1.4: Work with Snowflake Notebooks.
- Notebook sessions - Run code - SQL - Python - Cell execution status - Visualize data using Streamlit - Python variable substitution
Subdomain 1.5: Describe Snowflake objects and how they fit into the Snowflake hierarchy.
- Databases - Schemas - Tables - Views - Data types - Data loading - Query history - Object browsers - Create objects (for example: databases, schemas, stages)
Domain 2: Identity and Data Access Management
Subdomain 2.1: Define the roles that are used in Snowflake.
- Role-Based Access Control (RBAC) - Explain role hierarchy - Role types - Privileges - Object access by role
Subdomain 2.2: Create a database, explore data, configure parameters, and transfer ownership.
- Use database objects - Use the INFORMATION_SCHEMA - Use the PUBLIC SCHEMA - Understand context - Transfer ownership - Create and drop schemas - Run basic SQL commands - EXCLUDE - SELECT * - LIMIT
Domain 3: Data Loading and Virtual Warehouses
Subdomain 3.1: Describe considerations when working with structured and semi-structured data.
- Stages - Loading data - Structured data - Semi-structured data - Querying data - Structured data - Semi-structured data - Commands - COPY INTO - INSERT - LIST
Subdomain 3.2: Explain virtual warehouses.
- Standard warehouses compared to multi-clustered warehouses - Warehouse sizing - Warehouse scaling - Scaling in or out - Scaling up or down
Subdomain 3.3: Create tables in Snowflake and load data into the tables.
- Use Snowsight to identify particular tables - View the table definition - Preview the table data - Use INSERT statements to load data - Use Snowsight to load data - Use COPY INTO <table> statements - File format options
Subdomain 3.4: Explain how to work with unstructured data.
- Directory tables - Enable - Use of SELECT statements - Use of Pre-signed URLs - Function argument
Subdomain 3.5: Explain how to use Snowflake Cortex LLM functions.
- PARSE_DOCUMENT function - TRANSLATE function - CLASSIFY_TEXT function - COMPLETE function
Domain 4: Data Protection and Data Sharing
Subdomain 4.1: Outline continuous data protection with Snowflake.
- Time Travel - Cloning
Subdomain 4.2: Define Snowflake data sharing capabilities.
- Snowflake Marketplace - Search listings - Data Exchange - Use a private data share
Techniques & products