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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application with a complex custom billing model. Your application measures several consumption metrics, including data processed, API calls, and unique users. You want to offer consumers flexible pricing plans that combine fixed monthly fees with usage-based charges, and provide detailed invoices. What is the most appropriate way to construct your Snowflake native application to perform the custom billing?

A) Use Snowflake's native metering functions to calculate storage and compute costs, and manually calculate the other metrics outside of Snowflake. Combine these values to generate the invoices using an external billing system.
B) Utilize Snowflake's resource monitors to track overall consumption and apply a fixed cost per resource unit consumed.
C) Develop stored procedures within the application to measure each metric, apply the complex pricing logic, and generate invoices directly within Snowflake as JSON documents. Offer these invoices as output from a 'GET INVOICE stored procedure exposed to the customer.
D) Implement all metering logic within stored procedures in your Snowflake Native App package. Create a scheduled task that runs daily to calculate the billing amounts and store them in a billing table. Use Snowflake's data sharing to expose billing information to an external billing system.
E) Develop a separate application outside of Snowflake to poll the application's internal tables for usage metrics and perform all billing calculations externally.

2. You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:

Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?

A)

B) No modification is needed. The function will automatically return the active 'APPLICATION_ROLE' within the share.
C)

D)

E)

3. A Snowflake Native App includes a managed task 'app_db.app_schema.daily_data_processing'. You, as the application provider, need to ensure that consumer accounts can only execute this managed task and have no other privileges. You also need to implement robust error handling to log any failed execution attempts within the consumer account. Which of the following SQL statements, when executed within the application's installation script, provides the most secure and complete solution to achieve these requirements, including error logging within the consumer account (assuming an existing table exists)?

A) GRANT EXECUTE MANAGED TASK ON MANAGED TASK TO APPLICATION ROLE app_public WITH GRANT OPTION;
B)

C) GRANT EXECUTE MANAGED TASK ON MANAGED TASK TO APPLICATION ROLE app_public;
D)

E)

4. You are developing a Snowflake Native Application that performs complex data transformations. You need to monitor the application's performance, identify bottlenecks, and track resource consumption. Which of the following approaches would effectively establish observability and telemetry for your application, ensuring you can gather granular insights into its operations?

A) Implement custom logging within your application code, writing log messages to a temporary stage. Periodically download and analyze these log files using external tools.
B) Leverage Snowflake's event tables and Streamlit to visualize the performance and consumption of resources used by the application.
C) Utilize Snowflake's Information Schema views (e.g., 'QUERY_HISTORY', to track query performance and resource usage. Correlate this data with application-specific events using custom logging.
D) Integrate with a third-party monitoring service (e.g., Datadog, New Relic) by sending application metrics and logs via HTTP endpoints. Configure alerts and dashboards in the monitoring service.
E) Log all application events directly to Snowflake tables using stored procedures. Analyze these tables periodically using SQL queries to identify trends and anomalies.

5. You're building a Streamlit application within a Snowflake Native App that uses the Permissions API (hypothetical) to control access to sensitive dat a. Your security team has mandated that any changes to data access privileges must be audited. How can you effectively log all privilege grant and revoke operations performed via the Permissions API within your Streamlit application running inside Snowflake, assuming you are given the hypothetical 'PermissionsClient' and methods as below?

A) Configure Snowflake's event tables for security to track privilege grants and revokes. Create a Streamlit function that fetches and displays these audit events within the application's admin panel. Push data into separate staging area.
B) Implement a custom logging function that captures the API calls and their parameters. Use a try-except block around each API call, logging the details to a separate audit table in Snowflake, and pushing logs to external SIEM tools.
C) Use Snowflake's native logging capabilities in the application's setup script, logging directly to the Snowflake event log. However, these logs may require a system administrator to interpret and extract.
D) Leverage Snowflake's built-in 'QUERY _ HISTORY' view to track all SQL commands executed by the Streamlit application. Filter for 'GRANT and 'REVOKE statements to identify privilege changes. Replicate to external storage for retention.
E) Rely solely on the Permissions API's built-in audit trails, assuming it automatically logs all operations to a system table accessible only by Snowflake administrators.

Solutions: