SPS-C01 Exam Dumps | You are using Snowpark Python to build a data pipeline. You need to version control your Snowpark application

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Question 53/151

You are using Snowpark Python to build a data pipeline. You need to version control your Snowpark application and ensure that it is compatible with different Snowflake environments (development, staging, production). Which strategies and tools would be most effective for managing the Snowpark application's code, dependencies, and deployment process?

A. Store the Python code directly in Snowflake stages and use Snowflake's versioning capabilities to manage different versions.

B. Use a Git repository to manage the Snowpark Python code, a dependency management tool like Poetry or pip to handle dependencies, and a CI/CD pipeline (e.g., using Jenkins or GitLab CI) to automate deployment to different Snowflake environments.

C. Copy and paste the Python code between different Snowflake environments as needed, manually installing any required dependencies.

D. Rely solely on Snowflake's built-in Python interpreter and avoid using any external libraries or dependencies to simplify versioning and deployment.

E. Package all Snowpark code into a single ZIP file and manually upload it to each environment.

Correct Answer: B

Using a Git repository for version control, a dependency management tool like Poetry or pip, and a CI/CD pipeline is the recommended approach for managing Snowpark applications. This allows for proper version control, dependency management, and automated deployment across different environments. The other options represent less robust and error-prone approaches.

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