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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that provides data enrichment services. You want to monetize your application through the Snowflake Marketplace using a custom, usage-based pricing model. You need to track the number of API calls made by each consumer account and bill them accordingly. Which of the following steps are necessary to implement this in your application and listing configurations?

A) Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a STANDARD listing type and set a base price.
B) Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a CONSUMPTION listing type and define metering events based on API calls made. Set the cost per metering event.
C) Implement custom code to track API calls in a table within the application package and use a scheduled task to generate billing reports manually. This report is then shared outside of Snowflake Marketplace.
D) Use Snowflake's data sharing capabilities to share a billing table with consumer accounts, tracking API calls externally and managing billing outside of the Snowflake Marketplace.
E) Implement a metering function using stored procedures, record API usage in a dedicated table within your application's container and use 'CREATE NOTIFICATION INTEGRATION' to send billing data to an external system for invoice generation.

2. You are tasked with publishing a Snowflake Native Application to the Snowflake Marketplace. Your application relies on specific external packages available through Anacond a. You've already built your application and are preparing to create the listing. Which steps are NECESSARY to ensure that consumer accounts can successfully install and use your application, considering external package dependencies?

A) Include a 'requirements.txt file within your application package listing all required Python packages and their versions.
B) When creating the Snowflake Marketplace listing, specify the required external packages under the 'External Packages' section using the fully qualified package name (e.g., 'snowflake.ml.modeling').
C) Consumers are automatically prompted to install any missing external packages upon installing the application; no specific action is required during listing creation.
D) Distribute the packages directly as part of the application code. This avoids external dependencies.
E) Explicitly import all required external packages within the application's setup script using 'import

3. Consider the following SQL code snippet within a Snowflake Native Application:

A) The statement will execute successfully, returning the session ID of the user who installed the Native Application.
B) The statement will execute successfully, returning the session ID of the current session in which the stored procedure is running, provided the caller has USAGE privilege on the database.
C) The statement will execute successfully, returning the session ID of the current session in which the stored procedure is running, provided the Native App has the 'READ SESSION' privilege (implicitly or explicitly).
D) The statement will execute successfully, but the 'session_id' will always be null as the 'READ SESSION' privilege does not apply within stored procedures.
E) The statement will fail because the READ SESSION' privilege is not automatically granted to stored procedures. You must explicitly grant the privilege to the stored procedure's owner.

4. You are designing a Snowflake Native Application that processes customer dat a. To comply with data residency requirements, you need to ensure that the application logic runs within the customer's Snowflake account, but the application code is owned and managed by your organization. Which of the following approaches BEST achieves this requirement while providing version control and updates?

A) Develop the application using Snowflake's Snowpark API and package the compiled code within the application package. The setup script will execute the Snowpark code within the customer's Snowflake account.
B) Use Snowflake's Data Sharing feature to directly share the database and schema containing the application logic with customers. Grant them ownership of these objects.
C) Embedd the raw application code directly into the SETUP script so that it gets re-deployed on every run.
D) Create a Docker container containing the application logic and deploy it as a Snowflake External Function. Share the container image with customers and instruct them to deploy it in their environment.
E) Build the application logic as a set of stored procedures and UDFs within the application package. Provide a setup script that creates these objects in the customer's account during installation.

5. Consider the following SQL code snippet intended to be part of a Snowflake Native Application. This application aims to provide data quality checks. Identify potential security vulnerabilities and recommend secure coding practices to mitigate them. Assume the application uses user-supplied input for filtering the data.

A) Enclose the entire SQL query in a 'TRY...CATCH' block to prevent errors from propagating and potentially revealing sensitive information.
B) Use parameterized queries (prepared statements) or the 'SYSTEM$SQL INJECTION CHECK' function to prevent SQL injection vulnerabilities.
C) Implement strict input validation, including data type checks and limiting the length and format of user-supplied input, before incorporating the input into the SQL query. Use Javascript functions like 'encodeURlComponent' .
D) The code is safe because Snowflake automatically sanitizes all user input.
E) Sanitize input by escaping special characters using a regular expression, then concatenate the sanitized input directly into the SQL query.

Solutions: