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What is the duration, language, and format of SnowPro Core Certification
- Type of Questions: Multiple choice (MCQs), multiple answers
- Passing grade: 70%
- Language of Exam: English, Japanese, Korean
- Duration of Exam: 120 minutes
- Number of questions: 100
- No negative marking for wrong answers
Who should take the SnowPro Core Certification
This exam's objective is to measure an individual's knowledge and ability to use Snowflake based data warehouse solution. To earn this certification, you must pass the SnowPro Core Certification exam. The exam format consists of multiple select, multiple choice, True/False, fill-in the blank and terminology matching questions. The exam has no mandatory prerequisites and is administered by our third-party proctor.
A Snowflake SnowPro Core Certificate individual has a thorough understanding of Snowflake as a cloud data warehouse and has the knowledge necessary to design, develop and manage secure, scalable Snowflake solutions to drive business objectives. For this, you can use our SNOWFLAKE SNOWPRO CORE practice exam and SNOWFLAKE SNOWPRO CORE practice exams to ensure that you are ready for the exam.
Reference: https://learn.snowflake.com/en/certifications/snowpro-core/
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SnowPro Core CertificationPath
This is a fundamental exam and gives credential of SnowPro Core Certified Professional.
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Snowflake SnowPro-Core Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Loading and Unloading | 10% | - Continuous loading (Snowpipe) - File formats and stages - Bulk loading methods - Data unloading and export |
| Topic 2: Data Protection and Sharing | 10% | - Data retention and recovery - Snowflake Marketplace - Reader accounts and data clean rooms - Secure data sharing |
| Topic 3: Performance Concepts | 15% | - Query optimization and profiling - Cost management and monitoring - Search optimization service - Warehouse sizing and concurrency |
| Topic 4: Snowflake AI Data Cloud Architecture & Features | 25% | - Snowflake editions and cloud platform support - Micro-partitions, clustering, and caching - Three-layer architecture (Storage, Compute, Cloud Services) - Virtual warehouses and scaling - Structured, semi-structured, and unstructured data support |
| Topic 5: Data Transformations | 20% | - Working with semi-structured data - Cloning, Time Travel, and Fail-safe - SQL and DDL/DML operations - Dynamic tables and data pipelines |
| Topic 6: Account Access and Security | 20% | - Account management and monitoring - Encryption and data protection - Role-Based Access Control (RBAC) - Authentication and network policies - Privileges, grants, and ownership |




