Snowflake NAS-C01 Actual Tests : SnowPro Specialty - Native Apps

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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 interacts with a user-provided data source. The application needs to validate that the user has granted the necessary permissions on their dat a. The application package contains the following setup script:

Which of the following approaches is the MOST secure and reliable way to check for SELECT privileges within the procedure?

A) Use 'SHOW GRANTS TO ROLE app_role' and parse the output to see if SELECT privilege on 'user_schema.user_table' exists.
B) Query the 'INFORMATION SCHEMA.TABLE PRIVILEGES' view to check if 'app_role' has SELECT privilege on 'user_schema.user_table'.
C) Use function with appropriate parameters to directly check if the 'app_role' has SELECT privilege on 'user schema.user table'.
D) Attempt a 'SELECT COUNT( ) FROM within a "TRY...CATCH' block and infer permissions based on the error message.
E) Assume SELECT privileges are granted as part of the application installation process without explicit validation.

2. You're developing a Snowflake Native App that includes a function, , which retrieves sensitive customer dat a. You want to ensure that this data is only accessible by authorized roles within the consumer's account, even after the application is installed. Which of the following strategies are appropriate for securing the application's data and function access? (Choose two)

A) Grant the 'EXECUTE privilege on the function to specific, consumer-defined roles within the consumer's account via the provider's setup script.
B) Implement a masking policy on the underlying customer data table that restricts access based on the current role.
C) Grant the 'EXECUTE privilege on the function to the 'application role'.
D) Use a secure UDF to encapsulate the data retrieval logic, preventing direct access to the underlying tables.
E) Rely solely on the consumer's account administrator to manage access to the function and data after installation.

3. Consider the following scenario: You're developing a Snowflake Native Application that requires both data loading and complex analytical queries. You plan to use separate warehouses to optimize performance and manage resources effectively. Given the requirements, which of the following warehouse configurations is the MOST appropriate?

A) One warehouse sized 'X-SMALL' for data loading and another sized URGE' for analytical queries.
B) Two warehouses: one dedicated to data loading configured with "WAREHOUSE_SIZE = X-SMALL' and another for analytical queries configured with 'WAREHOUSE SIZE = LARGE and 'MAX CONCURRENCY LEVEL = 8'.
C) Two warehouses: one dedicated to data loading, configured with to save costs and other warehouse for analytical queries.
D) One large warehouse to handle both data loading and analytical queries, sharing resources to minimize costs.
E) Two warehouses: one with 'AUTO SUSPEND = 60' for data loading and another with 'AUTO SUSPEND = 3600' for analytical queries.

4. You are designing a Snowflake Native Application that needs to store temporary data for processing, which should be cleaned up when the application is uninstalled from the consumer account. Which of the following options would be the MOST appropriate and secure way to manage this temporary data?

A) Create a table with a retention period in the application database using the APPLICATION role. Configure the retention period to be very short (e.g., 1 day).
B) Create a temporary stage and use it to persist data. Use a SQL statement in your uninstall script to remove the data from the stage when the application is uninstalled.
C) Create an external stage linked to cloud storage. Store temporary data in cloud storage and implement cleanup logic using an uninstall script.
D) Create a schema named 'temp' in the application database using the APPLICATION role. The application setup script will create temporary tables inside this schema. Use an uninstall script to drop the entire schema upon uninstall.
E) Create a temporary table in the application database using the APPLICATION role. The application is responsible for dropping the table when uninstalled.

5. You are developing a Snowflake Native App that needs to persist state information between different invocations. The app requires tracking of user preferences, processing progress, and other runtime dat a. Which of the following options are viable and secure methods for persisting this type of state information within the context of a Snowflake Native App?

A) Storing state information within the application package itself by updating the package version with each state change.
B) Using temporary tables within the consumer's account to store state information. The tables are dropped when the app is uninstalled.
C) Using secure external stages managed by the application provider to store the consumer-specific state information.
D) Using the application provider's own Snowflake account to store state information associated with each consumer.
E) Using internal stages and secured views in consumer account to persist state information.

Solutions: