Exam Name: Snowflake Certified SnowPro Specialty - Snowpark
Certification Provider: Snowflake
Corresponding Certification: Snowflake Certification
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Snowflake SPS-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Snowpark Fundamentals | - Snowpark architecture and concepts
|
| DataFrame Operations and Data Processing | - Data transformation workflows
|
| 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
|
Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:
You have a Snowpark DataFrame named 'employee_df in VS Code. You want to define a user-defined function (UDF) in Python that calculates the bonus for each employee based on their salary and performance rating. The UDF should take the salary (SALARY) and performance rating (PERFORMANCE RATING) as inputs and return the bonus amount. Assume you have already established a Snowpark session. Which code snippet accurately defines and registers a UDF named 'calculate_bonus' that can be applied to the 'employee_df DataFrame?
- A.
- B.
- C.
- D.
- E.
Correct Answer: C,E 🗳️
Explanation: Only visible for ActualTestsIT members. You can sign-up / login (it's free).
Consider a JSON structure representing product information, where prices are stored as strings due to inconsistent data quality. You need to calculate the average price of products. However, some price strings contain non-numeric characters (e.g., '$', commas). Which of the following approaches, using Snowpark DataFrame operations, is the MOST robust and efficient way to clean and cast the price data to a numeric type for accurate average calculation?
- A.
- B.
- C.
- D.
- E.
Correct Answer: C 🗳️
Explanation: Only visible for ActualTestsIT members. You can sign-up / login (it's free).
You have created a Snowpark UDF that uses a custom Python module 'my_module.py', containing a function 'process data'. This module is not available through Anaconda'. You've packaged the module into a zip file named 'my module.zip'. What steps are necessary to deploy this UDF in Snowflake so that it can correctly use the 'my_module'?
- A. Upload 'my_module.zip' to an external stage (e.g., AWS S3 or Azure Blob Storage). Configure Snowflake to access the external stage. Create the UDF, specifying the external stage path in the 'imports' argument.
- B. Upload 'my_module.zip' to an internal stage. When creating the UDF, specify the stage path in the 'imports' argument. Within the UDF, modify 'sys.path' to include the path where Snowflake unpacks the zip file.
- C. Upload 'my_module.zip' to an internal stage, then create the UDF using 'session.add_import' within the UDF definition, specifying the stage path. No additional configuration is needed.
- D. Upload 'my_module.zip' to an internal stage. When creating the UDF, specify the stage path in the 'packages' argument. Within the UDF, modify 'sys.path' to include the path where Snowflake unpacks the zip file.
- E. Upload 'my_module.zip' to an internal stage. When creating the UDF, specify the stage path in the 'imports' argument. No changes to sys.path are required within the UDF.
Correct Answer: E 🗳️
Explanation: Only visible for ActualTestsIT members. You can sign-up / login (it's free).
You're working with Snowpark and have a DataFrame 'df containing a column 'json_data' with JSON strings. Some of these JSON strings are invalid. You need to parse the valid JSON strings and extract a field named 'product_id' from them. Invalid JSON strings should result in a 'NULL' value for the extracted 'product_id'. Which of the following approaches is the MOST robust and efficient way to achieve this?
- A.
- B.
- C.
- D.
- E.
Correct Answer: C 🗳️
Explanation: Only visible for ActualTestsIT members. You can sign-up / login (it's free).
You have a Snowpark DataFrame 'df representing sales data with columns 'product_id', 'region', and 'sales_amount'. You want to calculate the total sales amount for each region. Which of the following Snowpark code snippets is the MOST efficient and correct way to achieve this?
- A.
- B.
- C.
- D.
- E.
Correct Answer: B 🗳️
Explanation: Only visible for ActualTestsIT members. You can sign-up / login (it's free).
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