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Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. You have a Pandas DataFrame named containing employee information including 'name' , 'department, and You want to create a Snowpark DataFrame named from this Pandas DataFrame and register it as a temporary view named 'TEMP EMPLOYEES. However, you need to ensure that any NULL values in the Pandas DataFrame are handled correctly when creating the Snowpark DataFrame. Which of the following code snippets achieves this, minimizes data transfer and provides best performance considering dataset size is large?

A)

B)

C)

D)

E)

2. A Snowpark Python application is failing intermittently with a 'net.snowflake.client.jdbc.SnowflakeSQLException: SQL execution error: Remote service internal error [Errorld: ...l' when calling 'df.collect()' on a DataFrame that results from joining multiple tables and applying a complex filter. The data volume is substantial, but within the warehouse's expected capacity. Which of the following actions are MOST likely to resolve this issue? (Select two)

A) Break down the complex query into smaller, intermediate DataFrames and persist them using to avoid memory pressure during a single large query.
B) Replace with 'df.toPandas(Y to improve memory management on the client side.
C) Increase the parameter to a higher value to prevent session timeouts.
D) Implement retry logic around the 'df.collect()' call with exponential backoff, assuming the error is transient due to resource contention.
E) Switch to using the function with a raw SQL query instead of Snowpark DataFrame operations.

3. You have two Snowpark DataFrames, 'dfl' and 'df2', representing customer data'. 'dfl' contains customer IDs and names, while 'df2' contains customer IDs and email addresses. You need to create a new DataFrame that contains all customer IDs, names, and email addresses, including customers present in only one of the DataFrames. Which Snowpark set operation and join type would be most appropriate for achieving this?

A) DISTINCT and CROSS JOIN
B) UNION and FULL OUTER JOIN
C) UNION ALL and INNER JOIN
D) INTERSECT and LEFT JOIN
E) EXCEPT and RIGHT JOIN

4. You are setting up a VS Code development environment for Snowpark with the Snowflake extension. You want to ensure that you can securely authenticate to Snowflake and execute Snowpark code. Which of the following steps are essential to configure secure authentication within VS Code for Snowpark?

A) Install the Snowflake VS Code extension and configure the Snowflake connection settings to use Snowflake Native Authentication. Ensure that the user has the required permissions to authenticate using this method.
B) Install the Snowflake VS Code extension and configure the Snowflake connection settings in the extension's configuration file using username and password.
C) Install the Snowflake VS Code extension and configure the Snowflake connection settings to use MFA. Ensure the username and password is provided with a valid MFA token.
D) Install the Snowflake VS Code extension and configure the Snowflake connection settings to use Key Pair authentication. Ensure the private key is securely stored and referenced in the connection settings.
E) Install the Snowflake VS Code extension and configure the connection settings to use OAuth. Ensure the OAuth client and secret are properly configured in Snowflake and referenced in the connection settings.

5. You are developing a Snowpark application to process large datasets stored in Snowflake. You need to create a session using the 'snowflake.connector.connect' method. Which of the following code snippets correctly establishes a session with Snowflake, leveraging an external browser authentication mechanism, ensuring secure and reliable access to your data while minimizing exposed credentials in the code?

A)

B)

C)

D)

E)

Solutions: