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  • Exam Code: NAS-C01
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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. 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) Streamlit does not support custom Python modules within Snowflake Native Applications. You must use only built-in Python modules or those available through Anaconda.
B) 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'.
C) 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.
D) The 'my_module' is not included in the file for your application package. Add it to the 'packages' list in 'setup.py'.
E) The correct handler is not specified in the 'manifest.ymr file.


2. A Snowflake Native App developer wants to externalize certain configuration values so that a consumer can adjust the app's behavior without modifying the app's code directly. Which of the following methods is the MOST appropriate for achieving this using the Snowflake Native App Framework?

A) Using Snowflake variables and setting them at the session level.
B) Hardcoding the configuration values directly into the SQL code.
C) Defining parameters in the manifest file and using them within the application code.
D) Using dynamic SQL to modify the application code at runtime based on environment variables.
E) Storing the configuration values in a separate Snowflake table within the consumer account.


3. You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS) for its backend processing. The application requires secure access to a specific endpoint hosted within the SPCS environment. You've defined a service in your SPCS compute pool. Which of the following SQL commands is the MOST secure and appropriate way to expose an endpoint for access from within the application's consumer environment, assuming the endpoint requires OAuth authentication?

A) ALTER SERVICE my_service ADD ENDPOINT my_endpoint WITH AUTHENTICATION TYPE = OAUTH;
B) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH;
C) BIND SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH TO APPLICATION PACKAGE;
D) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = SNOWFLAKE_JWT;
E) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = NONE;


4. You are building a Snowflake Native Application that needs to store configuration data within the application package. This configuration data needs to be accessible by all components of the application, but should not be directly exposed to the consumer. What is the RECOMMENDED approach to securely store and access this configuration data?

A) Store the configuration data in a JSON file within a stage in the provider account and grant the application role USAGE privilege to the stage.
B) Store the configuration in a file within the application package and load it into a temporary table during application initialization. Only grant access to the application role.
C) Store the configuration data in a dedicated table within the application database and grant SELECT privilege only to the application role.
D) Encrypt the configuration data and store it in a named internal stage within the application package. Create a UDF within the application to decrypt and retrieve the data when needed.
E) Store the configuration data as environment variables within the application's setup script.


5. You are developing a Snowflake Native Application that relies on external functions (UDFs or external functions using API integration) to enrich dat a. After installing the application in a customer's account, you observe that the external functions are failing intermittently. The error messages indicate network connectivity issues. Which of the following troubleshooting steps would be MOST effective in diagnosing and resolving this problem from the provider's perspective, assuming you cannot directly access the customer's network configuration?

A) Instruct the customer to check their network firewall rules to ensure that outbound traffic to your API endpoint is allowed. Provide them with a list of IP addresses for your service.
B) Migrate the external functions to use Snowflake's Snowpark Container Services to ensure they run within the Snowflake environment and bypass any network restrictions.
C) Monitor the external functions calls from system $ table and analyze the latency and error codes.
D) Implement retry logic within the external function calls with exponential backoff. Log all failed attempts, including timestamps and error messages, within your provider's environment, for later analysis. Provide the customer with aggregated success/failure metrics from your logs.
E) Create a separate Snowflake Native App that only tests network connectivity to the external API endpoint. Ask the consumer to install and run the application, and provide you with the results.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: C
Question # 4
Answer: D
Question # 5
Answer: D

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