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Question 10/63
A financial services company is migrating its transaction data from various sources, including mainframe systems, REST APIs, and flat files, into Snowflake. They want to leverage Snowflake's features for continuous data ingestion and transformation. Which combination of Snowflake features and external tools would provide the MOST scalable and efficient solution for this scenario?
Correct Answer: A,E
Options A and E provide scalable and efficient solutions. Snowpipe with auto-ingest handles flat files efficiently. Kafka Connector allows real-time ingestion of REST API data. AWS Lambda and Snowflake external functions offer serverless computing for transforming mainframe data dumps into Snowflake. Option B relies on scheduled tasks and materialized views, which are not ideal for high-volume, near real- time ingestion. Option C using external tables for direct access to the source system might have performance challenges for real-time analysis. Option D relies on third-party ETL tools, adding to cost and complexity, and doesn't leverage Snowflake's native capabilities effectively.
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