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Last Updated: Jun 29, 2026

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Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. A Snowpark application connects to Snowflake using key pair authentication. After several successful executions, the application starts failing with authentication errors. You suspect an issue with the private key. Considering best practices for security and troubleshooting, which of the following actions should you take FIRST to diagnose and resolve the problem?

A) Verify that the private key file exists at the specified path in the Snowpark application configuration and that the user running the application has read permissions on the file.
B) Rotate the public/private key pair immediately and update the Snowpark application with the new private key. Generate new username and password.
C) Immediately revoke the user's access to Snowflake and create a new user with a different private key.
D) Check the Snowflake login history in ACCOUNT _ USAGE view to identify the specific error message and the IP address from which the failed login attempts originated. Use new authtype and password.
E) Restart the Snowpark application server to refresh the session and clear any cached credentials.


2. You are developing a Snowpark stored procedure to perform data transformation. The procedure needs to handle both integers and strings as input parameters and return a DataFrame. Which of the following is the MOST efficient and recommended way to define the data types for the input parameters and the return value, ensuring proper data handling and type safety during deployment and execution?

A) Using Python type hints for input parameters and explicitly registering the stored procedure using 'sproc.register' and specifying the return type using with schema definition.
B) Defining input parameter types using Python type hints (e.g., 'x: int, y: str') and the return type as 'List[Row]' without explicit registration. Snowpark automatically handles conversion.
C) Explicitly registering the stored procedure with 'sproc.registeff and specifying the input types using 'Argument objects and the return type using with schema definition.
D) Relying solely on Snowpark's implicit type inference for both input parameters and the DataFrame return value, avoiding explicit type hints or registration.
E) Using Python type hints for input parameters and relying on Snowpark's implicit type inference for the DataFrame return value.


3. You have a Snowpark Python UDF that performs sentiment analysis on customer reviews. The UDF relies on a pre-trained machine learning model stored as a file in a Snowflake stage. To enhance security, you want to create a secure UDF. Which of the following steps are necessary to achieve this?

A) Ensure the function definition specifies a 'context' parameter to pass security context.
B) Wrap the UDF creation in a stored procedure with 'EXECUTE AS CALLER to elevate privileges and ensure model access.
C) Grant USAGE privilege on the stage containing the model file to the SNOWFLAKE.DATA_GOVERNANCE role.
D) Grant READ privilege on the stage containing the model file to the role that owns the secure UDF.
E) When creating the UDF, specify 'secure=True' in the 'CREATE FUNCTION' statement, and explicitly grant USAGE privilege on the stage containing the model file to the role that executes the UDF using 'GRANT USAGE ON STAGE TO ROLE


4. You have two Snowflake tables, 'customers' and 'orders'. The 'customers' table contains customer information, including a 'customer id' and 'region'. The 'orders' table contains order information, including 'order id', 'customer id', and 'order amount'. You need to create a Snowpark DataFrame that joins these two tables on 'customer id' and calculates the total order amount per region. However, some customers may not have any orders, and you want to include all customers in the result, with a total order amount of 0 for those without orders. Which of the following Snowpark code snippets will achieve this goal MOST efficiently, assuming 'customers_df and 'orders_ff are pre-existing Snowpark DataFrames representing the respective tables?

A)

B)

C)

D)

E)


5. A data scientist is developing a Snowpark application that needs to authenticate to Snowflake using Key Pair Authentication. Which of the following steps are essential for configuring the Snowflake CLI to enable Key Pair Authentication and then correctly create a Snowpark session? (Select TWO)

A) Set the 'PRIVATE KEY parameter in the Snowflake CLI configuration to the path of the private key file.
B) Generate an RSA key pair using 'ssh-keygen' and store the private key securely.
C) Configure the user in Snowflake to use the public key by executing 'ALTER USER SET RSA_PUBLIC_KEY="'.
D) Set the 'AUTHENTICATOR parameter in the Snowflake CLI configuration to 'EXTERNALBROWSER.
E) Set the 'AUTHENTICATOR parameter in the Snowflake CLI configuration to 'snowflake'.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: D,E
Question # 4
Answer: C
Question # 5
Answer: B,C

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