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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
| Topic 2: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Multi-cluster warehouses - Warehouse sizing and scaling |
| Topic 3: Time Travel & Cloning | 10% | - Zero-copy cloning - UNDROP and historical data access - Time travel concepts and retention - Fail-safe concepts |
| Topic 4: Data Sharing | 12% | - Private sharing vs. Data Exchange - Reader account management - Shares and reader accounts - Data listing marketplace |
| Topic 5: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 6: Security & Access Control | 10% | - Masking policies - Authentication (SSO, MFA) - Row-level and column-level security - Governance best practices - Authorization (roles, privileges) |
| Topic 7: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 8: Data Loading & Unloading | 15% | - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Continuous loading with Snowpipe - Data ingestion best practices |
| Topic 9: Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Stored procedures and UDFs - Column types and sequences - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Views (standard, materialized, secure) |
| Topic 10: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
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NEW QUESTION # 52
Which data types are supported by Snowflake when using semi-structured data? (Choose two.)
Answer: C,D
Explanation:
Snowflake supports the VARIANT and ARRAY data types for semi-structured data. VARIANT can store values of any other type, including OBJECT and ARRAY, making it suitable for semi-structured data formats like JSON.ARRAY is used to store an ordered list of elements
NEW QUESTION # 53
What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?
Answer: D
Explanation:
In Snowflake, the maximum number of clusters that can be provisioned within a multi-cluster virtual warehouse is 10. This allows for significant scalability and performance management by enabling Snowflake to handle varying levels of query load by adjusting the number of active clusters within the warehouse.References: Snowflake documentation on virtual warehouses, particularly the scalability options available in multi-cluster configurations.
NEW QUESTION # 54
Snowflake users can create a resource monitor at which levels? (Select TWO).
Answer: D,E
Explanation:
Resource monitors in Snowflake are tools used to track and control the consumption of compute resources, ensuring that usage stays within defined limits. These monitors can be created at the account level, allowing administrators to set overall resource consumption limits for the entire Snowflake account. Additionally, resource monitors can be set at the virtual warehouse level, enabling more granular control over the resources consumed by individual warehouses. This dual-level capability allows organizations to manage their Snowflake usage efficiently, preventing unexpected costs and optimizing performance.References: Snowflake Documentation on Resource Monitors Top of Form
NEW QUESTION # 55
What is the MINIMUM Snowftake edition that supports database replication?
Answer: A
Explanation:
The minimum Snowflake edition that supports database replication is the Enterprise edition. Database replication allows data to be replicated between different Snowflake accounts or regions, providing high availability and disaster recovery capabilities.
References:
Snowflake Documentation: Database Replication
NEW QUESTION # 56
Which of the following objects can be directly restored using the UNDROP command? (Choose two.)
Answer: A,E
Explanation:
The UNDROP command in Snowflake can be used to directly restore Views and Tables. These objects, when dropped, are moved to a 'Recycle Bin' where they can be restored within a time limit before they are permanently deleted.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 57
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