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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching |
| Topic 2: Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL |
| Topic 3: Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance |
| Topic 4: Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace |
| Topic 5: Performance Optimization, Querying & Transformation | 21% | - Materialized Views, Streams, Tasks, Pipelines - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables |
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NEW QUESTION # 389
What actions will prevent leveraging of the ResultSet cache? (Choose two.)
Answer: A,E
Explanation:
The ResultSet cache is leveraged to quickly return results for repeated queries. Actions that prevent leveraging this cache include stopping the virtual warehouse that the query is running against (B) and executing the RESULTS_SCAN() table function (D).Stopping the warehouse clears the local disk cache, including the ResultSet cache1. The RESULTS_SCAN() function is used to retrieve the result of a previously executed query, which bypasses the need for the ResultSet cache.
NEW QUESTION # 390
If a virtual warehouse is suspended, what happens to the warehouse cache?
Answer: A
Explanation:
When a virtual warehouse in Snowflake is suspended, the cache is dropped and is no longer available upon restart. This means that all cached data, including results and temporary data, are cleared from memory. The purpose of this behavior is to conserve resources while the warehouse is not active. Upon restarting the warehouse, it will need to reload any data required for queries from storage, which may result in a slower initial performance until the cache is repopulated. This is a critical consideration for managing performance and cost in Snowflake.
NEW QUESTION # 391
Which strategy is recommended to improve the performance of a large, complex query?
Answer: C
Explanation:
To improve the performance of compute-intensive queries, increasing the warehouse size (e.g., from Medium to Large or X-Large) provides more compute resources (CPU/memory) , allowing Snowflake to process queries faster. This is the most direct and effective method for performance optimization.
Reference:
Snowflake Docs: Warehouse Sizing
"Larger warehouses provide more compute resources for faster performance."
NEW QUESTION # 392
Which of the following are handled by the cloud services layer of the Snowflake architecture? (Choose two.)
Answer: C,D
Explanation:
The cloud services layer of Snowflake architecture handles various aspects including security functions, authentication of user sessions, and access control, ensuring that only authorized users can access the data and services23.
NEW QUESTION # 393
When used with a SELECT statement in the COPY INTO < location > command, what statement will unload data from a table as JSON?
Answer: D
NEW QUESTION # 394
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