Snowflake SPS-C01 : Snowflake Certified SnowPro Specialty - Snowpark

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Snowflake SPS-C01 Exam Syllabus Topics:

Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. Consider the following Snowpark Python code snippet:

A) The function will retrieve all rows from the 'customers' table and store them in a local Pandas DataFrame before applying the function.
B) The 'upper()' function will be executed on the client-side (where the Python code is running) for each row in the 'customers' table.
C) The code demonstrates the Snowpark architecture, where transformations are translated into SQL and executed in Snowflake's engine. Only the final 'collect()' brings the results back to the client.
D)

E) This code requires a configured Anaconda environment to run successfully.

2. You have a Snowpark DataFrame containing customer order data with columns , and 'order_amount' . You need to identify customers who placed orders exceeding $1000 on more than 3 separate days. Which Snowpark code snippet correctly achieves this? Assume SparkSession 'spark' and DataFrame are already defined.

A)

B)

C)

D)

E)

3. When using key pair authentication with Snowpark, what security best practices should you implement to protect your private key?
(Select all that apply)

A) Store the private key directly in the Snowpark code repository.
B) Regularly rotate the key pair.
C) Store the private key in an environment variable or a secure secret management system (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault).
D) Encrypt the private key at rest.
E) Grant broad access to the environment variable containing the private key to all developers.

4. 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) Copy and paste the Python code between different Snowflake environments as needed, manually installing any required dependencies.
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) Store the Python code directly in Snowflake stages and use Snowflake's versioning capabilities to manage different versions.
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.

5. You are developing a Snowpark application that requires calling a stored procedure. Which of the following approaches is the MOST secure and efficient way to call a stored procedure from your Snowpark Python code, assuming the stored procedure returns a single value?

A)

B)

C)

D)

E)

Solutions: