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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A data provider is building a Snowflake Native Application that provides real-time stock market data through a Snowflake Marketplace listing. They have implemented a secure data sharing mechanism. To update the data in the listing with minimal downtime and ensure continuous availability for their consumers, which strategy should they employ?

A) Completely replace the underlying shared database with a new version during off-peak hours.
B) Use tasks and streams to incrementally refresh the data in the shared database. Implement error handling to manage potential data inconsistencies.
C) Utilize Snowflake's cloning feature to create a duplicate of the shared database, update the data in the clone, and then swap the original and cloned databases using 'ALTER DATABASE SWAP WITH'.
D) Create a new version of the Snowflake Native Application containing the updated data and deprecate the previous version. Consumers will need to migrate to the new version.
E) Perform direct updates to the tables within the shared database. Use SALTER TABLE ... SWITCH WITH' to minimize locking during the update process, creating new tables with updated data.

2. You are developing a Snowflake Native App that will be listed on the Snowflake Marketplace. The application requires a specific version of a Python library that may conflict with other libraries used by consumers. How can you ensure that your application uses the correct library version without causing conflicts in the consumer's environment?

A) Instruct consumers to manually install the required Python library version in their Snowflake environment before installing your app.
B) Rely on Snowflake's automatic dependency resolution to identify and install the correct version of the Python library in the consumer's environment.
C) Bundle the required Python library with your application package and utilize Anaconda packages support to manage dependencies, ensuring isolation from the consumer's environment.
D) Package all application logic into a single SQL UDF to avoid Python dependency issues entirely.
E) Modify the consumer's 'PYTHON PATH' environment variable upon installation to include the location of your application's Python libraries.

3. A Snowflake Native Application provider is troubleshooting an issue reported by a consumer during testing. The application uses a UDF to process dat a. The error message suggests the UDF is failing due to insufficient permissions to access a secure view owned by the application. The UDF and view are defined as follows:

Which of the following steps are MOST likely to resolve the permission issue without compromising security principles?

A) Grant the 'IMPORTED PRIVILEGES privilege on the application database to the application's 'app_role' .
B) Grant the ' SELECT privilege on 'app_db.app_schema.secure_view' to the consumer's account.
C) Grant the ' SELECT' privilege directly on 'app_db.app_schema.internal_table' to the 'app_role' .
D) No further action is required. Secure views and UDFs automatically inherit the necessary privileges within the application container.
E) Ensure the UDF is declared as 'SECURE and the view is also declared as 'SECURES. No explicit grants are required.

4. 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) Sanitize input by escaping special characters using a regular expression, then concatenate the sanitized input directly into the SQL query.
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) Enclose the entire SQL query in a 'TRY...CATCH' block to prevent errors from propagating and potentially revealing sensitive information.
E) The code is safe because Snowflake automatically sanitizes all user input.

5. You are developing a Snowflake Native Application that processes customer order dat a. As part of the setup script, you need to create a shared database and a secure view to expose aggregated order statistics to consumer accounts. Which of the following is the MOST secure and efficient way to achieve this, considering data governance and performance?

A) Create a secure materialized view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this materialized view.
B) Create a regular view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
C) Create a regular view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared view.
D) Create a secure view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared secure view.
E) Create a secure view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.

Solutions: