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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native App that requires accessing a specific table within the consumer's account. The consumer should not have direct access to this table. Which of the following is the MOST secure and appropriate method to grant the necessary access?

A) Granting the CONSUMPTION usage privilege on the provider account database to the consumer account, and then granting SELECT on the specific table to a role that the app assumes.
B) Creating a Snowflake Secure UDF that queries the table within the provider account and exposing the UDF to the consumer account through a package.
C) Creating a Snowflake Secure View on the table in the provider account and sharing this view with the consumer account using Data Sharing.
D) Granting direct SELECT access to the consumer role on the table in the provider account, ensuring to revoke access after the app is installed.
E) Employing a Stored Procedure owned by the application role that queries the table in the provider account, and allowing access to the procedure via API integration.

2. You are building a Snowflake Native Application that includes a stored procedure to perform data transformation. This stored procedure needs to access external data sources using a secure API. Which of the following methods provides the MOST secure and recommended approach for managing API credentials within the Snowflake Native Application context?

A) Use the consumer's account's environment variables to store API credentials. The application retrieves credentials from there.
B) Store the API credentials in a configuration file included within the application package. Read the credentials from this file within the stored procedure.
C) Hardcode the API credentials directly within the stored procedure code. This is the simplest approach for development and testing.
D) Use Snowflake's Secret object to securely store the API credentials. Access the Secret within the stored procedure using function.
E) Store the API credentials directly within the stored procedure code as encrypted strings. Decrypt them at runtime using a key stored in a separate table.

3. An ISV is developing a data analytics application using Snowflake Native Apps. The application allows consumers to define custom data refresh schedules. These schedules are managed by stored procedures within the application. The stored procedures need to update a shared table (using SQL MERGE command) located in a different database (managed by the ISV) within the consumer's account. The Application provider doesn't want to give access to the underlying tables to the consumer. To achieve this, which of the following GRANT statements are needed to configure the correct set of privileges for the ISV's Application Role(s) to perform MERGE operations from inside the consumer's environment? (Select all that apply.)

A) GRANT SELECT ON ALL TABLES IN DATABASE TO ROLE ;
B) GRANT USAGE ON SCHEMA TO ROLE ;
C) GRANT ALL PRIVILEGES ON WAREHOUSE TO ROLE ;
D) GRANT USAGE ON DATABASE TO ROLE ;
E) GRANT INSERT, UPDATE, DELETE ON TABLE .. TO ROLE ;

4. A Native Application package contains a secure view that exposes customer dat a. The application provider wants to ensure that only the application itself, and not the consumer's roles, can access the underlying table. They have granted OWNERSHIP on the table to the application. Which of the following SQL statements would be MOST effective in managing privileges so that the application package can securely access customer data and consumers cannot directly access it via their own roles?

A) No additional privileges are needed as the application package has ownership of the object.
B) REVOKE ALL PRIVILEGES ON TABLE .. FROM ROLE PUBLIC; GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE;
C) GRANT SELECT ON TABLE .. TO APPLICATION ROLE ;
D) GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE;
E) GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE; REVOKE SELECT ON TABLE FROM ROLE PUBLIC;

5. You are developing a Snowflake Native Application using Scala for a financial institution. The application processes sensitive transaction dat a. During consumer-side testing, the consumer reports intermittent 'java.lang.NullPointerException' errors. You suspect the issue lies within your UDE How can you effectively trace and debug this issue, considering data privacy requirements and without directly exposing sensitive consumer data in your logs?

A) Use Snowflake's event table to capture all exceptions, filtering for the UDF name. Redact potentially sensitive fields in the logs after extraction using a Python script executed on the provider side.
B) Rely solely on Snowflake's query history to identify failing queries. Analyze the input data and execution plan to infer the cause of the NullPointerException.
C) Implement a custom error handling mechanism in Scala that catches 'NullPointerException', logs a generic error message with a unique error code to the event table, and then re-throws a more descriptive exception to the consumer. The consumer can then report the error code to the provider for further investigation. The provider can analyze the code, without actual consumer sensitive data.
D) Utilize 'System.out.println' statements within the Scala UDF to print debug messages directly to the query result. The consumer can view these messages to identify the source of the error, with the provider having no visibility.
E) Implement structured logging within the Scala UDF using SLF4J and Logback. Include contextual information (e.g., transaction IDs, timestamps) at various stages of the UDF execution. Use Snowflake's masking policies on the event table to protect sensitive data during logging. This is the best method as it's the more granular and effective

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