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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that requires fine-grained control over data access for its users. You plan to use Streamlit within the application and leverage the Permissions API to manage these privileges. Assume you have successfully established a connection to Snowflake within your Streamlit app. Which of the following code snippets accurately demonstrate how to grant the 'SELECT privilege on a table named 'APP DATA in the application's schema to a specific role, 'APP USER, using the Permissions API, and then verify if that privilege has been granted?

A)

B)

C)

D)

E)

2. You are developing a Snowflake Native Application that uses Streamlit to present dat a. The application relies on a UDF to perform calculations. The UDF resides in the application's schema within the container. The application package is named and the application itself is named 'my_app'. You need to grant the application the necessary privileges to execute this UDF. Which of the following SQL statements, executed by the application provider, will correctly grant the required privilege to the application?

A)

B)

C)

D)

E)

3. You are troubleshooting an issue where a Snowflake Native Application's Scala UDF, 'process_data' , is sporadically failing with an 'OutOfMemoryError'. The UDF processes large XML files. You need to identify the cause and implement a solution. Which strategies are most appropriate for diagnosing and resolving this issue within the constraints of a Snowflake Native Application?

A) Use a memory profiler to analyze the UDF's memory usage. Identify memory leaks or inefficient data structures that contribute to the 'OutOfMemoryErroN.
B) Increase the warehouse size for the consumer's account. This provides more memory to the UDF execution environment.
C) Implement caching mechanisms within the UDF to reuse previously processed XML data, reducing the need to load and parse the same data repeatedly.
D) Modify the 'process_data' UDF to stream the XML file instead of loading the entire file into memory at once. Use a streaming XML parser to process the data incrementally.
E) Break down the large XML files into smaller chunks before processing them with the UDF. This reduces the memory footprint of each individual UDF execution. Implement a system to orchestrate processing chunks.

4. A Snowflake Native App provider wants to grant a consumer access to a secure view within their application. The provider's application package is named and the secure view is named 'sensitive_data_view'. The consumer's account identifier is 'XYZ12345'. Which of the following is the MOST secure and appropriate method to grant this access using Snowflake's Native App Framework?

A) Grant USAGE on database containing sensitive_data_view to account XYZI 2345;
B) Create a role within the application package, grant SELECT on sensitive_data_view to the role, and create an authorization grant to account XYZ12345 for that role.
C) Grant imported privileges on my_app_package to share with account XYZI 2345;
D) Create a share and grant SELECT on sensitive_data_view to the share, then grant usage on the share to account XYZI 2345;
E) Grant SELECT on sensitive data view to account XYZ12345;

5. You are developing a subscription-based Snowflake Native Application that offers tiered pricing (Basic, Premium, Enterprise) based on resource consumption (e.g., compute hours, data storage). Consumers select their desired tier during the subscription process. Your application needs to dynamically adjust resource limits based on the selected tier. Which combination of the following actions should you take to correctly implement this?

A) Use 'ALTER WAREHOUSE commands within the application to dynamically adjust warehouse sizes based on the selected tier, after retrieving the selected tier information via the application's configuration metadata.
B) Create separate resource monitors for each tier and associate the consumer's account with the appropriate resource monitor based on their selected tier during application installation.
C) Leverage Snowflake's data governance features, creating row access policies for each tier and assigning them based on the consumer's subscription status
D) Store tier-specific resource limits (e.g., compute hours, data storage limits) in a configuration table within the application. Implement stored procedures that enforce these limits during runtime using custom logic.
E) Implement role-based access control (RBAC) using different roles for each tier, granting each role appropriate privileges for data access and compute resources. Assign users to roles based on their subscription tier.

Solutions: