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Snowflake SPS-C01 Exam Syllabus Topics:

Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. A Snowpark application needs to dynamically switch between different Snowflake accounts based on the environment (development, staging, production). Which of the following approaches provides the MOST secure and maintainable way to manage account credentials without hardcoding them in the application? Assume that deployment will occur via docker, Kubernetes or other modern deployment practices.

A) Hardcode credentials in the Snowpark application code and rely on network security to prevent unauthorized access.
B) Use the Snowflake CLI configuration file ('-/.snowflake/config') and switch between named profiles based on an environment variable.
C) Store credentials in environment variables managed by the deployment platform (e.g., Kubernetes secrets) and access them using
D) Store credentials in separate .env' files for each environment and load the appropriate file based on an environment variable indicating the current environment.
E) Encrypt the credentials and store them in a configuration file that is decrypted at runtime using a key stored in a secure vault.

2. You've developed a Snowpark Python UDTF that performs complex data transformation. This UDTF needs to be operationalized within a data pipeline. You want to ensure high performance and scalability. Which of the following strategies will be MOST effective in operationalizing this UDTF?

A) Register the UDTF as a temporary function within a single Snowpark session for ad-hoc analysis.
B) Deploy the UDTF as an external function hosted on a cloud provider without any resource constraints.
C) Register the UDTF as a permanent function without any resource allocation and depend on snowflake auto scaling.
D) Register the UDTF as a permanent function with appropriate resource allocation (warehouse size) and utilize vectorization techniques within the UDTF's implementation.
E) Run the UDTF sequentially on a small dataset to minimize resource consumption.

3. You have configured your Snowpark application to use a '.env' file for storing connection parameters. The ' .env' file contains the following:

Which of the following code snippets demonstrates the most secure and recommended method for creating a Snowpark session using these environment variables and also ensuring the file exists?

A)

B)

C)

D)

E)

4. You are using Snowpark in Python within a Jupyter Notebook environment to analyze sales data'. You've established a connection to Snowflake and loaded your data into a Snowpark DataFrame named 'sales ff. You need to calculate the cumulative sales for each product category over time. The 'sales_df' DataFrame has columns 'SALE DATE' (DATE), 'PRODUCT CATEGORY' (VARCHAR), and 'SALE AMOUNT' (NUMBER). Which of the following approaches, or combination of approaches, will correctly calculate the cumulative sales while optimizing for Snowflake's performance and scalability? (Select all that apply)

A) Write a stored procedure in Snowflake that calculates the cumulative sales and call the stored procedure from your Snowpark application.
B) Use a Window function within a Snowpark DataFrame transformation to calculate the cumulative sum for each product category, ordered by 'SALE_DATE.
C) Use the and 'sort()' functions on the Snowpark DataFrame to order data by 'PRODUCT CATEGORY' and 'SALE DATE before calculating the cumulative sum using a UDF.
D) Use session.sql() to execute a SQL query with a window function for cumulative sales and load the data into snowpark DataFrame.
E) Iterate through the rows of the 'sales_df DataFrame in the Jupyter Notebook and manually calculate the cumulative sales using Python code.

5. You are working with a Snowpark DataFrame containing customer data'. One of the columns, 'phone number', contains phone numbers in various formats (e.g., '123-456-7890', '(123) 456-7890', '1234567890'). You need to standardize all phone numbers to the format '+1-123-456-7890' using Snowpark for Python. You also want to handle cases where the phone number is NULL gracefully, replacing them with '+1-000-000-0000'. Which of the following Snowpark code snippets is the most efficient and correct way to achieve this?

A)

B)

C)

D)

E)

Solutions: