Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. Within a Snowflake Native Application, you need to implement a feature that is only available in the latest version of the application, and the usage of that feature needs to be tracked. How would you accomplish this within the application code, considering that you want to avoid exposing internal details about version numbers directly to the consumer?

A) Rely on the consumer to explicitly enable the feature through a configuration parameter, then log the feature's usage.
B) Create a separate role that is only granted to users of the latest version, and use this role to control access to the feature. Use a view to abstract the role requirement.
C) Use Snowflake's Resource Monitors to track resource usage by different versions of the application.
D) Use the 'APPLICATION$VERSION' function within a stored procedure to conditionally enable the feature and log the usage to a separate table. Make sure the logs are maintained within the producer account.
E) Implement a UDF (User-Defined Function) that checks the application version and returns a flag indicating whether the feature is available. Use this flag in SQL queries to conditionally enable the feature and track its usage.

2. You're developing a Snowflake Native App. Part of your application logic involves using a UDF (User-Defined Function) to perform complex calculations on data residing in a table within the consumer's Snowflake account. Which of the following statements correctly describes how you would package and deploy this UDF within your Native App using the application package?

A) You must create the UDF within a schema in your application package, and grant USAGE privilege on the schema to the application role. The consumer will automatically be granted EXECUTE privilege on the UDF.
B) You must create the UDF within a schema in your application package. No additional privileges need to be granted, as the application role automatically has all necessary privileges within the application's namespace.
C) The UDF definition must be created as an external function, pointing to an external API endpoint that your application controls, enabling the UDF logic to be executed outside of the consumer's Snowflake environment.
D) You must create the UDF within a schema in your application package, and grant USAGE privilege on the schema to the application role. The application code can then execute the UDF without any further privilege grants within the consumer account, and the UDF can be called from SQL or other UDFs using unqualified names.
E) The UDF definition must be created directly within the consumer's account after the application is installed, as UDFs cannot be included in the application package.

3. 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) 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.
B) 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.
C) Embedd the raw application code directly into the SETUP script so that it gets re-deployed on every run.
D) 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.
E) 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.

4. You are developing a Snowflake Native Application that processes sensitive dat a. During the application lifecycle management, including version updates, what steps should you take to ensure the data security and privacy of the consumers' data, especially considering that your development team might need access to a subset of the data for testing?

A) Utilize Snowflake's external functions to process the data in a secure enclave outside of Snowflake, minimizing the risk of data exposure. Ensure external functions called are encrypted.
B) Implement data masking and anonymization techniques to create a sanitized test dataset derived from the consumer's data. Provide the development team with access only to the masked data, via data sharing from the producer to consumer account.
C) Use Snowflake's data classification features to identify sensitive data and implement row-level security to restrict access to the development team.
D) Create a separate Snowflake account for testing and populate it with synthetic data that mimics the structure and characteristics of the consumer's data.
E) Grant the development team direct access to the consumer's data warehouse to facilitate testing. Ensure proper auditing is enabled.

5. You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?

A) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
B) Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
C) Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.
D) Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
E) Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.

Solutions: