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Snowflake SnowPro-Core (SnowPro Core Certification) Exam is a challenging exam that requires a deep understanding of Snowflake's cloud-based data warehousing platform. Passing the exam demonstrates a high level of expertise and knowledge in Snowflake's platform, which is highly valued by employers and clients alike. SnowPro Core Certification Exam (SnowPro-Core Korean Version) certification also provides a solid foundation for further certifications in Snowflake, such as the SnowPro Advanced or Specialty certifications.
Reference: https://learn.snowflake.com/en/certifications/snowpro-core/
The SnowPro-Core exam tests candidates on a range of topics, including Snowflake architecture, database objects, performance optimization, security, and data loading and unloading. SnowPro-Core-KR exam is conducted online and consists of 80 multiple-choice questions that need to be completed within two hours. Candidates who pass the exam are awarded the SnowPro-Core certification, which is valid for two years and can be renewed by taking a recertification exam.
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Snowflake SnowPro-Core Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Protection and Sharing | 10% | - Secure data sharing - Snowflake Marketplace - Data retention and recovery - Reader accounts and data clean rooms |
| Performance Concepts | 15% | - Cost management and monitoring - Search optimization service - Query optimization and profiling - Warehouse sizing and concurrency |
| Account Access and Security | 20% | - Role-Based Access Control (RBAC) - Privileges, grants, and ownership - Account management and monitoring - Encryption and data protection - Authentication and network policies |
| Data Loading and Unloading | 10% | - Bulk loading methods - Continuous loading (Snowpipe) - Data unloading and export - File formats and stages |
| Snowflake AI Data Cloud Architecture & Features | 25% | - Three-layer architecture (Storage, Compute, Cloud Services) - Structured, semi-structured, and unstructured data support - Virtual warehouses and scaling - Micro-partitions, clustering, and caching - Snowflake editions and cloud platform support |
| Data Transformations | 20% | - Working with semi-structured data - Cloning, Time Travel, and Fail-safe - Dynamic tables and data pipelines - SQL and DDL/DML operations |
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