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Snowflake SPS-C01 Exam Syllabus Topics:

Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:

1. You are working with a Snowpark DataFrame named containing information about products, including 'CATEGORY , 'SUBCATEGORY , and 'PRICE'. You want to determine the maximum price for each subcategory within each category. Furthermore, you need to filter the results to only include categories that have more than 5 subcategories. Which of the following Snowpark Python code snippets accomplishes this task? (Select all that apply)

A)

B)

C)

D)

E)

2. You are working with a Snowpark DataFrame 'products df' containing product information, including 'product_id', 'price', and 'discount'. You need to update the 'price' column in the 'products' table based on the following logic: If 'discount' is greater than 0.2, reduce the 'price' by 15%. If 'discount' is between 0.1 and 0.2 (inclusive), reduce the 'price' by 5%. Otherwise, keep the 'price' as is. Which of the following Snowpark code snippets efficiently implements this update? Assume 'products' table already exists and is correctly populated.

A) Option D
B) Option A
C) Option E
D) Option C
E) Option B

3. You have a Snowpark DataFrame with columns 'sale_date', 'product_id', and 'revenue'. You need to calculate the cumulative revenue for each product over time. Which of the following approaches will accomplish this in Snowpark using window functions?

A)

B)

C)

D)

E)

4. A data scientist has developed a complex machine learning model in Python that needs to be operationalized within a Snowpark pipeline. This model depends on several custom Python packages not available in Snowflake's default environment. The data scientist wants to define a UDTF to apply this model to incoming data'. Which of the following steps are NECESSARY to successfully deploy and execute this UDTF in Snowflake? (Select three)

A) Include only custom packages into the ZIP file and exclude common python library packages, as snowpark is pre-installed.
B) Package the virtual environment as a ZIP file.
C) Upload the ZIP file to a Snowflake stage.
D) Specify the stage location in the 'imports' clause of the 'CREATE FUNCTION' statement when defining the UDTF.
E) Create a virtual environment and install all the required Python packages.

5. Consider the following Snowpark Python code snippet:

A) The code will execute without error, and Snowflake's query optimizer will likely combine the two 'filter' operations into a single scan of the table.
B) The final 'DataFrame' 'df3' will only contain rows where 'coll' is greater than 10 and 'c012 is not null.
C) Two separate scans of the 'my_table' table will always be performed, one for each 'filter' operation.
D) The code will result in a compilation error because 'df2 is not explicitly materialized before being used.
E) The code will throw a NullPointerException as null values are not allowed in Snowpark DataFrames.

Solutions: