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Snowflake SPS-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Performance Optimization and Best Practices | - Efficient Snowpark execution
|
| Data Engineering with Snowpark | - Pipeline development
|
| Testing, Debugging, and Deployment | - Production readiness
|
| User Defined Functions and Stored Procedures | - Extending Snowpark with custom logic
|
| Snowpark Fundamentals | - Snowpark architecture and concepts
|
| DataFrame Operations and Data Processing | - Data transformation workflows
|
Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:
1. You are working with semi-structured data in Snowflake stored in a VARIANT column named 'payload'. You want to extract specific fields from this VARIANT column within a SQL query used to create a Snowpark DataFrame. Which of the following approaches allows you to access nested fields within the 'payload' column directly in the SQL query and create a corresponding column in your Snowpark DataFrame? Select all that apply.
A) Use the 'payload:fieldl :field2 syntax directly within the SELECT statement in the SQL query.
B) Use the "LATERAL FLATTEN(input payload)' function within the SQL query to unnest the VARIANT and then access the fields.
C) Extract the VARIANT data into a Pandas DataFrame and then use Pandas to access the nested fields before creating the Snowpark DataFrame.
D) First create a temporary table containing only the extracted fields using a separate SQL query, then create a Snowpark DataFrame from that table.
E) Use the 'fieldl .field2')' function within the SELECT statement in the SQL query.
2. You have a Snowpark DataFrame 'sales df with columns 'product_id' (INTEGER), 'sale date' (DATE), and 'sale_amount' (DOUBLE). You need to filter the DataFrame to include only sales that occurred in the year 2023 and where the 'sale_amount' is greater than the average 'sale_amount' for that specific 'product id'. Which of the following Snowpark Python code snippets will correctly achieve this?
A)
B)
C)
D)
E) 
3. You have a Snowpark Python application that interacts with Snowflake using a service account. You are rotating the private key associated with the service account. After updating the private key in your application's configuration, you encounter an error during the connection attempt: 'SnowflakeSQLException: 390103 (OSAOO): Failed to connect to DB. Encountered exception while creating connection: Authentication token has expired.' What is the MOST likely cause of this error, and what steps should you take to resolve it?
A) The connection string contains invalid characters. Ensure the account identifier and other parameters are correctly specified.
B) The Snowflake cache still holds the old private key. Clear the Snowflake connection cache in the application by calling and restarting the application.
C) The Snowflake service account hasn't been granted sufficient permissions to access the required resources. Re-grant the necessary roles and privileges to the service account.
D) The private key is in an incorrect format. Ensure that the private key is in PKCS#8 format and is properly encoded.
E) The public key associated with the new private key has not been authorized in Snowflake for the service account. Ensure that the public key is associated with the service account using ALTER SERVICE ACCOUNT SET RSA PUBLIC KEY =";'
4. You have a Snowpark DataFrame containing sales data with columns 'sale_date', and 'sale_amount'. You need to calculate the cumulative sales amount for each product over time, ordered by 'sale_date'. Which of the following Snowpark code snippets correctly implements this using window functions?
A)
B)
C)
D)
E) 
5. You are developing a Snowpark Python stored procedure that utilizes external Python libraries (e.g., 'requests', 'numpy'). What are the recommended steps for deploying this stored procedure to Snowflake, ensuring that all necessary dependencies are available during execution?
A) Package all required dependencies into a ZIP file and upload it to a Snowflake stage. Specify the stage path in the 'imports' parameter when creating the stored procedure.
B) List all required dependencies in the 'packages' parameter when creating the stored procedure. Snowflake automatically resolves and installs these dependencies from its managed Anaconda channel.
C) Both A and B are correct methods to deploy the stored procedure.
D) Include the installation commands (e.g., 'pip install requestS , 'pip install numpy') directly within the stored procedure's Python code. Snowflake will execute these commands during each invocation of the stored procedure.
E) None of the above, Snowflake does not support external python libraries in stored procedures.
Solutions:
| Question # 1 Answer: A,B,E | Question # 2 Answer: D | Question # 3 Answer: E | Question # 4 Answer: E | Question # 5 Answer: C |
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