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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A software company, 'Data Insights Corp', develops a Snowflake Native App. They want to grant users the ability to view limited metadata information about the app's installation without granting them extensive privileges over the app's data or functionality. Which of the following options BEST represent the correct approach for granting Viewer privileges in a Snowflake Native App context to a consumer account user?

A) Grant the USAGE privilege on the application package to the user role.
B) Grant the 'IMPORTED PRIVILEGES privilege on the application package to the user role.
C) Grant the 'APPLY APPLICATION' privilege on the application package to the user role.
D) Grant the 'SELECT' privilege on all tables within the application instance to the user role.
E) Create a custom role in the consumer account and grant the 'MONITOR EXECUTION' privilege on the application instance to that role, then grant that role to the user.

2. A Snowflake Native Application provider has encountered performance issues with a Scala-based UDF, 'aggregate data' , used within their application. Consumers report slow execution times when processing large datasets. The provider has identified that the UDF involves complex calculations and data transformations. Which optimization techniques can be applied to improve the performance of the 'aggregate_data' UDF within the constraints of the Snowflake Native Application environment?

A) Move the entire UDF logic to an external cloud function (e.g., AWS Lambda, Azure Function) and invoke it from Snowflake using a remote service. This offloads the computation to a more powerful environment.
B) Utilize Snowflake's vectorized UDF feature (if supported for Scala UDFs) to process data in batches, reducing the overhead of calling the UDF for each individual row.
C) Replace the Scala UDF with a Snowflake stored procedure written in SQL. Stored procedures generally offer better performance for data-intensive operations.
D) Optimize the UDF's data structures and algorithms to reduce memory usage and improve processing efficiency. Consider using techniques such as caching frequently accessed data within the UDF.
E) Leverage Scala's parallel collections (e.g., 'par') to distribute the workload across multiple cores during data processing. Ensure that the UDF is designed to be thread-safe.

3. You are developing a Snowflake Native Application that processes sensitive financial data. You need to implement robust logging and auditing to comply with regulatory requirements. Which of the following strategies would provide the MOST secure and comprehensive auditing and logging solution within the context of a Snowflake Native App?

A) Implement custom logging using UDFs that write directly to a table accessible only within the provider account. Use masking policies to protect sensitive data before logging.
B) Use Snowflake's stages to write the event logs and then create the external table on top of it to process the data.
C) Implement logging to an external service such as AWS CloudWatch or Azure Monitor, streaming data directly from UDFs using external functions. Implement data redaction within the UDFs before sending data externally.
D) Utilize Snowflake's Event Tables to capture application events. Ensure proper role-based access control is in place to restrict access to the event data within the provider account. Masking and Row Access policies should be applied before writing to event tables.
E) Rely solely on Snowflake's ACCOUNT_USAGE views and information schema tables within the consumer account.

4. A Snowflake Native App provider wants to ensure that even future roles created in their provider account will NOT automatically have access to the application database , which was created without the "MANAGED ACCESS' property initially. After creating a security audit suggested it to be with managed access. Which of the following steps BEST secures the app database?
Note multiple options may be needed

A) REVOKE USAGE ON DATABASE FROM ROLE PUBLIC;
B) REVOKE ALL PRIVILEGES ON DATABASE FROM PUBLIC;
C) ALTER DATABASE SET MANAGED ACCESS = TRUE;
D) GRANT OWNERSHIP ON DATABASE TO ROLE application_role;
E) DROP DATABASE CREATE DATABASE WITH MANAGED ACCESS;

5. You are the developer of a Snowflake Native Application. You've created a new version of your application package, v2.0. You want to perform a controlled rollout, first releasing it to a subset of your consumers for testing before making it generally available. Which sequence of steps, leveraging Snowflake's lifecycle management features, would you use to achieve this?

A) 1. Create a dedicated APPLICATION role for the application. 2. Grant OWNERSHIP on the application package to the application's APPLICATION role. 3. Update the default version of the application package to v2.0.
B) 1. Create a new APPLICATION role for beta testers. 2. Grant USAGE privilege on the application package to the beta testers APPLICATION role. 3. Grant USAGE privilege on version v2.0 to the beta testers APPLICATION role. 4. Update the default version of the application package to v2.0.
C) 1. Instruct consumers to use the 'ALTER APPLICATION' command to upgrade to v2.0. 2. Monitor consumer feedback on the upgraded version.
D) 1. Create a new APPLICATION role for beta testers. 2. Grant USAGE privilege on version v2.0 to the beta testers APPLICATION role. 3. Instruct beta testers to manually specify VERSION = 'v2.0' when creating their application instances.
E) 1. Create a new APPLICATION role for beta testers. 2. Grant USAGE privilege on version v2.0 to the beta testers APPLICATION role. 3. Update the default version of the application package to v2.0.

Solutions: