Snowpro Advanced Architect · Free Practice Question Medium

Question 4

A data engineering team is building a new pipeline to periodically extract data from various on-premise sources, transform it, and load it into Snowflake. They are considering deploying their custom Python ETL scripts within Docker containers. What are two (2) key benefits of using Docker containers for deploying custom ETL scripts that interact with Snowflake? (Select TWO)
  • A Containers reduce Snowflake's compute warehouse costs by offloading processing.
  • B Containers offer isolation from the host system and portability across different environments.
  • C Containers ensure consistent execution environments and simplify dependency management for ETL processes.
  • D Containers provide native access to Snowflake's internal file system for faster loading.
Reveal correct answers

Correct answers: B, C

Explanation

✅ Containers ensure consistent execution environments and simplify dependency management for ETL processes.
✅ Containers offer isolation from the host system and portability across different environments.

Explanation:

  • Consistent execution environments → Docker containers encapsulate dependencies, ensuring that ETL scripts run consistently across different machines without conflicts.

  • Isolation and portability → Containers provide sandboxed execution, preventing interference with the host system and enabling easy deployment across cloud, on-premise, and hybrid environments.

❌ Why the other options are incorrect?

Containers provide native access to Snowflake's internal file system for faster loading → Incorrect, because Snowflake does not expose an internal file system for direct container access.

Containers reduce Snowflake's compute warehouse costs by offloading processing → Incorrect, as ETL processing within containers does not directly reduce Snowflake warehouse costs; Snowflake compute is still required for data ingestion and transformation.

For more details on Docker containers for Snowflake ETL, you can check the official Docker documentation and Snowflake container setup guide.

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