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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance Optimization and Best Practices | 20% | - Caching strategies - Debugging and explain plans - Vectorized UDFs - Warehouse sizing for Snowpark - Query pushdown and optimization - Minimizing data transfer |
| Topic 2: Data Transformations and DataFrame Operations | 35% | - Window functions - Filtering, Aggregating, and Joining DataFrames - Complex data pipelines - Persisting transformed data - Using built-in functions |
| Topic 3: Snowpark API for Python | 30% | - Working with Semi-structured data - DataFrame creation and manipulation - Reading and writing data - User-Defined Functions (UDFs) and Stored Procedures - Establishing connections and session management |
| Topic 4: Snowpark Concepts | 15% | - Snowpark Sessions and connection management - Stored procedures and conditional logic - Transformations vs. Actions - Snowpark DataFrames and query plans - Client-side vs. Server-side execution - Snowpark architecture and core concepts |
1. You have two Snowpark DataFrames, 'dfl' and 'df2 , both containing customer data, but with slightly different schemas. 'dfl' has columns 'customer_id', 'name', and 'email'. 'df2' has columns 'id', 'customer name', and 'email_address'. You want to perform a set- based operation to find all unique customer IDs present in 'dfl but NOT in 'df2' , considering that 'customer_id' in 'dfl corresponds to 'id' in 'df2. Which of the following code snippets will achieve this, ensuring that column names are correctly aligned before the operation?
A)
B)
C)
D)
E) 
2. 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) After creating the Snowpark session, execute the SQL command 'ALTER SESSION SET
B) The account administrator needs to explicitly grant the 'CREATE FUNCTION' privilege to the user.
C) No special steps are required when creating the Snowpark session; the UDF automatically inherits the caller's privileges.
D) When creating the Snowpark session, explicitly set the 'privilege' parameter to 'CALLER.
E) When defining the UDF using Snowpark, ensure the argument is passed in the decorator. Create the Snowpark session as usual.
3. You are troubleshooting a Snowpark application that fails to connect to Snowflake intermittently. The error message indicates an issue with the specified account identifier Which of the following actions could help resolve this issue? Select all that apply.
A) Verify that the account identifier is correctly specified in the connection parameters, including the region if applicable.
B) Restart the Snowpark application server to clear any cached connection information.
C) Check the Snowflake network policy to ensure that the IP address from which the Snowpark application is connecting is allowed.
D) Confirm that the Snowflake service is not experiencing any outages in the specified region.
E) Ensure that the user specified in the connection parameters has the necessary privileges to access the database and schema.
4. You have written a Snowpark Python function that performs a complex calculation involving user-defined functions (UDFs). When running this function on a large dataset, you encounter a 'PicklingError: Can't pickle ': it's not the same object as main.my function'. What is the MOST likely cause of this error, and how can you resolve it?
A) The dataset is too large to be processed in memory. Use 'df.cache()' to persist the intermediate results to disk.
B) The UDF is defined within a local scope or closure, and Snowpark cannot serialize it. Move the UDF definition to the global scope or use 'cloudpickle' explicitly.
C) The Snowpark session is not properly initialized. Ensure that the connection parameters are correct.
D) The UDF contains unsupported Python libraries. Ensure that all dependencies are available on the Snowflake worker nodes.
E) The UDF's return type is not correctly specified. Use 'udf(func, to explicitly define the return type.
5. You are tasked with automating the creation of Snowpark sessions using key pair authentication for multiple users. You have a function that retrieves connection parameters (account, user, private key, etc.) for each user from a secure configuration file. The private keys are stored in PEM format. However, some users' private keys are password-protected. Which of the following approaches ensures the secure and correct establishment of Snowpark sessions for all users, including those with password-protected private keys? Assume get_user config(username)' retrieves the user's configuration, including the private key and password (if any).
A) Require all users to remove the password protection from their private keys to simplify the session creation process.
B) Store the password for each user's private key in a separate, encrypted file and retrieve it during session creation.
C) Attempt to establish a session without a password. If it fails, prompt the user for the password and retry the session creation using the provided password. Store the password temporarily in memory.
D)
E) 
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: E | Question # 3 Answer: A,C,D | Question # 4 Answer: B | Question # 5 Answer: D |
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