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Does Snowflake's architecture provide transaction management for consistent operations on the same data?

  1. Yes

  2. No

  3. Only for batch processing

  4. Only for external data

The correct answer is: Yes

Snowflake's architecture indeed provides transaction management, which ensures consistent operations on the same data. This capability is primarily supported through its implementation of ACID (Atomicity, Consistency, Isolation, Durability) properties. These principles help maintain data integrity during concurrent operations, allowing users to perform transactions safely in a multi-user environment. The architecture supports features like multi-version concurrency control, which allows for non-blocking reads and writes. This means that while one transaction is being processed, other queries can still run without waiting for locks, thus enhancing performance and user experience. By utilizing this transaction management framework, Snowflake enables seamless data operations, which is crucial for applications that require reliable data processing and reporting. This ensures that users can depend on the accuracy and consistency of their data even when multiple transactions occur simultaneously. Other options that suggest limitations, such as only supporting batch processing or external data, do not align with Snowflake's capabilities, as its transaction management is robust and applicable across various data types and processing scenarios.