Snowflake NAS-C01 : SnowPro Specialty - Native Apps

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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

Question #1
A provider has released a Snowflake Native Application that calculates risk scores. As a consumer, you've installed the application. However, you are seeing inconsistent results when querying a view provided by the application named 'RISK SCORES'. You suspect the provider has an issue with their data or logic. Which of the following actions are MOST appropriate to troubleshoot this from the consumer side, focusing on querying and without access to the provider's source code?

A. Use on the provider's account to establish a secure connection and directly debug the provider's stored procedures.
B. Utilize the 'DEBUG' procedure exposed by the application (if any) to step through the risk calculation logic with specific input values.
C. Raise a support ticket with the provider through the Snowflake Marketplace. Include example queries, input data, and the expected vs. actual results to facilitate their debugging process. Further, Query data using different warehouse sizes to see if concurrency is a factor.
D. Examine the 'INSTALLATION INFORMATION' view in the application's database to check for provider-published error messages or status updates related to data quality issues. Use queries to identify patterns in the inconsistent results.
E. Contact Snowflake Support and provide them with a detailed description of the issue and relevant query examples. Snowflake Support can access the provider's environment and investigate.

Question #2
You are developing a Snowflake Native Application that uses Streamlit for its user interface. The application needs to access a custom Python module named 'my_module' which resides within your application package. You have correctly packaged the module. However, when running the Streamlit application, you encounter an 'ImportError: No module named What is the most likely reason for this error and how can you resolve it?

A. The Streamlit application is not aware of the application package's Python environment. You need to set the environment variable within the Streamlit application to point to the directory containing 'my_module'.
B. The correct handler is not specified in the 'manifest.ymr file.
C. Streamlit does not support custom Python modules within Snowflake Native Applications. You must use only built-in Python modules or those available through Anaconda.
D. The 'my_module' is not located in the correct directory structure within the application package. Ensure it's placed in the 'src' directory (or the directory specified in 'package-name' in 'setup.py') and the directory structure mirrors the package structure required for import.
E. The 'my_module' is not included in the file for your application package. Add it to the 'packages' list in 'setup.py'.

Question #3
You are creating a Snowflake Native Application that will be distributed to consumer accounts. As part of the installation process, you need to ensure that a specific database role, 'DATA READER, is created in the consumer account and granted 'SELECT' privileges on a specific table in the consumer's shared dat a. Which of the following code snippets, when placed within the application's setup script (install.sql), will correctly achieve this, assuming the application is granted 'CREATE DATABASE ROLE?

A.

B.

C.

D.

E.

Question #4
A Snowflake Native App provider is using a Snowpark Python UDF to process data before writing it to an event table for consumption by consumer applications. The UDF fails intermittently with a 'Java heap space' error. Which of the following strategies are MOST effective in mitigating this error?

A. Configure the event table function to use a larger warehouse size using the EXECUTE AS OWNER clause.
B. Switch to a Java UDF instead of a Python UDF, as Java UDFs inherently have better memory management in Snowflake.
C. Implement batch processing within the UDF to process data in smaller chunks, reducing the memory footprint at any given time.
D. Optimize the Python UDF code to use more memory-efficient data structures and algorithms, reducing overall memory consumption.
E. Increase the warehouse size used by the consumer application instance, as this controls the memory available to the UDF during event processing.

Question #5
You are developing a Snowflake Native Application that provides data transformation services. You want to provide example SQL scripts to consumers within the application package to showcase how to use the application's functions. Where should these example scripts be stored to ensure they are accessible to consumers upon installation?

A. Embed the example SQL scripts directly as string literals within the setup script.
B. Store the example SQL scripts in a separate stage within the provider account and grant USAGE on the stage to the application role.
C. Store the example SQL scripts in an external stage (e.g., AWS S3) and provide instructions to the consumer to load them.
D. Store the example SQL scripts in a table within the application database and provide a view to access them.
E. Store the example SQL scripts as files within the application package itself (e.g., in a 'scripts' directory) and use relative paths to access them from within the application code.

Solutions: