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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Snowflake Native Application is designed to process customer data using a series of stored procedures. One of the stored procedures, process data', requires access to a stage named 'customer stage' in the consumer's account to load dat a. The application role 'app_role' is intended to manage all access within the application. However, the procedure fails with a permission error during testing in the consumer environment. Which of the following combination of steps is required to fix the problem?

A) Grant 'READ and ' WRITE privilege on 'customer_stage' directly to the provider account.
B) The stored procedure needs to be defined with 'EXECUTE AS CALLER rights to assume the privileges of the role executing the procedure.
C) Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the provider account, and grant privilege on 'customer_stage' to the 'app_role' .
D) Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the 'app_role', and grant 'READ privilege on 'customer_stage' to the app_role' .
E) Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the 'app_role', and create a new role in the consumer account, grant 'READ on the 'customer_stage' to this new role, then grant this new role to 'app_role' .

2. You are developing a Snowflake Native Application that allows customers to enrich their dat a. The application involves executing Javascript UDFs. Which of the following practices are considered unacceptable regarding code practices within the UDFs to ensure the Native App complies with Snowflake's requirements and security best practices?

A) Relying solely on the consumer's network policy to manage external network access from the UDFs.
B) Using the SYSTEM$ALLOWLIST function to restrict external network access from the Javascript UDFs to a specific set of approved domains. Using Snowflake's network rules is also acceptable for newer accounts.
C) Directly embedding secrets (e.g., API keys, passwords) within the Javascript UDF code itself, even if obfuscated.
D) Using JavaScript's eval() function to dynamically execute code based on user input or data retrieved from external sources.
E) Using Javascript UDFs to access data not needed by the application to save on querying costs.

3. You have released version 1.0 of your Snowflake Native Application. After receiving feedback, you release version 1.1 with breaking changes to the data schema in the application's managed database. Some consumers haven't upgraded yet. How can you ensure that the older version continues to function correctly while allowing new consumers to use the updated schema?

A) Deprecate version 1.0 and provide a limited support window, after which it will be removed. All consumers will need to upgrade within the window.
B) Create a compatibility layer within version 1.1 that detects the application version and adapts the data access logic accordingly. This would require use of the 'APPLICATION$VERSION' function.
C) Maintain two separate application packages: one for version 1.0 and one for version 1.1. Version 1.1 includes logic to automatically migrate data for consumers who upgrade.
D) Force all consumers to upgrade to version 1.1 immediately, providing detailed migration instructions.
E) Implement a data virtualization layer on the consumer's side, mapping the old schema to the new schema.

4. A Snowflake Native App provider is experiencing intermittent failures during consumer installation attempts. The logs on the provider side show generic error messages with limited details. You suspect the issue lies within the Java UDFs used by the application. Which combination of actions would MOST effectively help you diagnose the root cause, assuming you have access to both the provider and consumer environments?

A) Disable all Java UDFs within the application and re-attempt the installation on the consumer side. If the installation succeeds, re-enable the UDFs one at a time to isolate the faulty UDE Do not examine any logs.
B) Attempt to reproduce the error in a local Java development environment using mock data. If successful, use a debugger to step through the code. Do not configure any logging within Snowflake itself.
C) Implement structured logging within the Java UDFs using SLF4J or java.util.logging, including detailed context (e.g., input parameters, intermediate variable values). Configure Snowflake to capture UDF logs and analyze them using SQL. Enable tracing using Snowflake's Event Tables and correlate UDF execution with other system events.
D) Rely solely on Snowflake's default logging capabilities. Increase the logging level to DEBUG for the entire Snowflake account. Contact Snowflake support immediately for assistance with debugging the Java UDFs.
E) Implement try-catch blocks within the Java UDFs to catch exceptions and log them to a dedicated Snowflake table. Use Snowflake's error functions (e.g., ERRORCODE(Y , 'ERRORMESSAGE(Y) to capture relevant information about the exceptions.

5. A financial services company is developing a Snowflake Native App. It needs to securely access external market data via an API and store the processed results in a consumer-provided table. Considering security best practices and the Snowflake Native App Framework limitations, which of the following approaches represents the MOST secure and recommended implementation for this scenario?

A) Utilize a Java UDF with the 'network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer- provided table by using the application role with INSERT privilege granted by consumer.
B) Utilize a Python UDF with the 'external network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer-provided table by using the application role. API key is stored in snowflake secret.
C) Use a Snowflake external function with an API integration, configured with a service account that has the necessary permissions to access the API. Store the processed data in a consumer-provided table using stored procedures and INSERT statements using the application role.
D) Employ a Snowflake external function, configured with a service account, which invokes an API integration stored in the provider account. The external function returns the data, which is then inserted into a consumer-owned table using a stored procedure and INSERT statements, where the application role has been granted the necessary INSERT privilege.
E) Use a Snowflake external function with an API integration that passes the API key as a parameter. Store the processed data in a consumer-provided table using dynamic SQL.

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