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Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. You are developing a Snowpark application that needs to connect to Snowflake using account identifiers. Your organization's Snowflake account is configured with federated authentication (Okta). Which of the following methods is the most secure and recommended way to establish a Snowpark session in this scenario, avoiding hardcoding credentials in your application and leveraging existing authentication mechanisms?

A) Create a dedicated Snowflake user with restricted permissions and use its username and password directly in the connection string.
B) Utilize Snowflake's support for OAuth and configure your application to acquire a token from Okta and use it to establish the Snowpark session using the 'authenticator parameter set to 'oauth'.
C) Store the username and password in environment variables and retrieve them in your Snowpark application to establish the session.
D) Pass username and password directly in the connection properties along with the account identifier.
E) Use the connection parameter along with username and password directly in the connection properties.

2. You are developing a Snowpark application that uses a UDTF written in Python to perform complex data transformations. The UDTF takes several input columns and returns multiple output columns. The data volume is very large. You observe performance bottlenecks during the UDTF execution. Which of the following strategies could you employ to optimize the performance of your UDTF? (Select TWO)

A) Reduce the number of input columns passed to the UDTF by performing some pre-processing outside the UDTF.
B) Increase the warehouse size used for the Snowpark session to provide more computational resources.
C) Employ vectorized operations within the UDTF using libraries like NumPy or pandas to process data in batches.
D) Use a scalar UDF instead of a UDTF to simplify the code and reduce overhead.
E) Avoid using UDTFs altogether and rewrite the transformation logic using built-in Snowpark DataFrame transformations, even if it makes the code significantly more complex.

3. You are developing a Snowpark application that utilizes a UDF. You need to ensure that the UDF runs with the privileges of the caller (the user executing the query). Which of the following steps are necessary to accomplish this while creating the Snowpark session?

A) No special steps are required when creating the Snowpark session; the UDF automatically inherits the caller's privileges.
B) When defining the UDF using Snowpark, ensure the argument is passed in the decorator. Create the Snowpark session as usual.
C) After creating the Snowpark session, execute the SQL command 'ALTER SESSION SET
D) The account administrator needs to explicitly grant the 'CREATE FUNCTION' privilege to the user.
E) When creating the Snowpark session, explicitly set the 'privilege' parameter to 'CALLER.

4. You have a Snowflake table containing JSON data with nested arrays and objects representing website user interactions. You want to extract all 'product_id' values from within an array named 'viewed _ products' nested inside a 'session' object for each event, using Snowpark for Python. Assume the 'raw_events' table has a variant column called 'event_data". Which of the following Snowpark code snippets will correctly extract and flatten the 'product_id' values into a DataFrame?

A)

B)

C)

D)

E)

5. You have a Python function that calculates a complex statistical measure on a given row of a DataFrame. You want to apply this function to each row of a Snowpark DataFrame in a distributed manner. Which of the following is the MOST efficient way to achieve this?

A) Use the 'apply' method on the Snowpark DataFrame, passing the Python function as an argument.
B) Iterate through the rows of the Snowpark DataFrame and call the Python function on each row individually.
C) Use Snowpark's 'sprocs feature to create stored procedure and call the Python function.
D) Create a Pandas UDF (User-Defined Function) using decorator and apply it to the Snowpark DataFrame.
E) Use the "map' method on the Snowpark DataFrame's underlying RDD (Resilient Distributed Dataset) and pass the Python function as an argument.

Solutions: