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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are packaging a Snowflake Native App using the 'snowflake nativeapp package' command. The app relies on a specific external Python library that isn't available by default in Snowflake. Which methods can you use to include this library in your application package and ensure it's accessible within your application's procedures and functions?

A) Use the Anaconda channel integration. Specify the required package in the 'manifest.ymr file, and Snowflake automatically downloads and installs the library during application installation. This only works for packages available through Anaconda.
B) Upload the Python library using the 'PUT' command and explicitly reference it in the 'manifest.ymr under the 'artifacts' section, pointing to the internal stage location. Use the 'IMPORT statement within your stored procedure or UDF handler code to make the library available during execution.
C) Bundle the Python library as a ZIP file along with your application code. When creating the function using 'CREATE FUNCTION' , specify the ZIP file as part of the 'IMPORTS' clause. Snowflake automatically extracts and makes the library available to the function.
D) Combine options B and C. Use the Anaconda channel integration when possible, and for custom or unavailable packages, use the ZIP file import method for individual functions. Prioritize Anaconda for easier dependency management.
E) Upload the Python library as a stage object and reference it in the 'manifest.ymr file using the 'artifacts' section. Snowflake will automatically include it in the application package and make it available during runtime using the 'IMPORT' statement in the handler code.

2. Your Snowflake Native Application, 'Advanced Analytics Suite', utilizes dynamically generated SQL queries based on user input. To prevent SQL injection vulnerabilities when publishing this application, which of the following coding practices should you implement?

A) Enclose all dynamically generated SQL queries within a 'TRY...CATCH' block to catch and handle any potential SQL injection errors.
B) Sanitize all user inputs using Snowflake's built-in functions like 'regexp_replace' or 'replace' to remove potentially harmful characters or SQL keywords.
C) Limit user input to a predefined set of options through dropdown menus or radio buttons to avoid arbitrary SQL code injection.
D) Rely solely on Snowflake's built-in security features and assume they automatically prevent all SQL injection attempts.
E) Use parameterized queries (also known as prepared statements) to separate SQL code from user-supplied data, treating user input as data rather than executable code.

3. Which of the following statements regarding warehouse sizing and configuration for a Snowflake Native Application are true?

A) The 'AUTO SUSPEND' parameter controls how long a warehouse remains active after executing queries, impacting cost.
B) A larger warehouse size always guarantees faster query execution, regardless of the query's characteristics.
C) Warehouse size cannot be changed after it is created.
D) The parameter determines if the warehouse is used for data loading vs query processing.
E) The 'MAX CONCURRENCY LEVEL' parameter helps manage the number of queries that can be executed concurrently on the warehouse.

4. A Snowflake Native App developer is packaging their application and needs to define the necessary privileges within the application package's manifest file. The application requires 'SELECT' access to a view named 'PROVIDER VIEW' and 'USAGE' on the database 'PROVIDER DB'. Which of the following YAML snippets correctly defines these privileges in the manifest file? (Choose two)

A)

B)

C)

D)

E)

5. You are developing a Snowflake Native Application that utilizes a custom stage for storing large intermediate datasets during processing. Your CI/CD pipeline involves automated testing in a dedicated testing account. To ensure proper isolation and prevent interference with production data, how should you configure the stage path within your application package version definition, considering the stage name might differ between development and test environments?

A) Use a Snowflake Secret to store the stage path and retrieve it dynamically during application installation. The secret's value will be environment-specific.
B) Define the stage path as a parameter in the application installation script. When installing the application in each environment, pass the correct stage path as an argument.
C) Utilize Snowflake's and 'CURRENT functions in conjunction with conditional logic within the application to derive the stage path based on the environment.
D) Hardcode the stage name and path directly within the setup script of the version. This approach is simple and ensures consistent access across environments.
E) Employ a versioned configuration file (e.g., YAML) within the application package. The CI/CD pipeline should replace placeholders in the configuration file with environment-specific stage paths before creating the version.

Solutions: