The Snowflake COF-C03 exam preparation guide is designed to provide candidates with necessary information about the SnowPro Core Certification exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the Snowflake Certified SnowPro Core Certification exam.
It is recommended for all the candidates to refer the COF-C03 objectives and sample questions provided in this preparation guide. The Snowflake SnowPro Core Certification is mainly targeted to the candidates who want to build their career in Associate and Core domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual Snowflake SnowPro Core Certification exam.
Snowflake COF-C03 Exam Summary:
|
Exam Name
|
Snowflake SnowPro Core Certification |
| Exam Code | COF-C03 |
| Exam Price | $175 USD |
| Duration | 115 minutes |
| Number of Questions | 100 |
| Passing Score | 750 + Scaled Scoring from 0 - 1000 |
| Recommended Training / Books |
Snowflake Fundamentals SnowPro Core Certification On-Demand Preparation Course SnowPro Core Study Guide |
| Schedule Exam | PEARSON VUE |
| Sample Questions | Snowflake COF-C03 Sample Questions |
| Recommended Practice | Snowflake Certified SnowPro Core Certification Practice Test |
Snowflake SnowPro Core Certification Syllabus:
| Section | Objectives |
|---|---|
Snowflake AI Data Cloud Features and Architecture - 31% |
|
| Describe and use the Snowflake architecture |
- Cloud Services layer - Compute layer - Database Storage layer - Compare and contrast the different Snowflake editions |
| Use Snowflake Interfaces and tools |
- Snowsight - Snowflake CLI - IDE integrations (e.g., Visual Studio Code) |
| Differentiate Snowflake object hierarchy and types |
- Organization and account objects - Database objects
- Session and context variables
|
| Configure virtual warehouses |
- Types
- Scaling policies
- Best practices
|
| Explain Snowflake storage concepts |
- Micro-partitions - Data clustering - Table types
- Views types
|
| Explain AI/ML and application development features |
- Snowflake Notebooks - Streamlit in Snowflake - Snowpark - Snowflake Cortex
- Snowflake ML |
Account Management and Data Governance - 20% |
|
| Explain Snowflake security model and principles |
- Role-Based Access Control (RBAC) - Securable object hierarchy - Discretionary access control (DAC) - Network Policies - Authentication
- System-defined roles
- Secondary roles |
| Define data governance features and how they are used |
- Data masking
- Object tagging |
| Explain monitoring and cost management |
- Resource Monitors
- Calculating virtual warehouse credit usage |
Data Loading, Unloading, and Connectivity - 18% |
|
| Perform data loading and unloading |
- File formats - Create and use stages
- COPY INTO command |
| Perform automated data ingestion |
- Snowpipe - Snowpipe streaming - Streams - Tasks - Dynamic tables - Openflow (Feature will not be tested until it’s globally GA) |
| Identify the different Snowflake Connectors and integrations |
- Snowflake drivers - Snowflake connectors - Storage integration - API integration - Git integration |
Performance Optimization, Querying, and Transformation - 21% |
|
| Evaluate query performance |
- Query Performance Tuning
- SNOWFLAKE.ACCOUNT_USAGE views (Snowflake database views)
- Workload management best practices
|
| Optimize query performance |
- Query acceleration service - Search optimization service - Clustering keys - Materialized views |
| Use Snowflake caching |
- Query result cache - Metadata cache - Warehouse cache |
| Perform data transformation techniques |
- Using data
- Aggregate functions |
Data Collaboration - 10% |
|
| Explain data collaboration and protection |
- Data replication and failover - Secure data sharing features - Cloning - Time Travel - Fail-safe |
| Explain Snowflake's data sharing capabilities |
- Accounts
- Secure Data Sharing |
| Share data using the Snowflake Marketplace and listings |
- Snowflake Marketplace - Listings
- Native Apps |
