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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Snowflake Native Application is being developed. The application requires access to a third-party API to enrich dat a. To securely store the API key, the developer plans to use a Secret object within Snowflake. Which of the following steps are necessary to grant the application, specifically an application role named 'data_processor' , the ability to read this Secret object? (Choose three)

A) The 'data_processor' application role automatically inherits privileges for accessing Secrets defined within the application package.
B) Grant the USAGE privilege on the Secret object to the 'data_processor' application role.
C) Grant the READ privilege on the Secret object to the 'data_processor' application role.
D) Grant the OWNERSHIP privilege on the Secret object to the 'data_processor' application role.
E) Grant the USAGE privilege on the secret object to the 'APPLICATION PACKAGE.

2. You are developing a Snowflake Native Application that requires configurable settings for different customer environments. These settings include API endpoint URLs, authentication keys, and resource limits. You want to allow the consumer to configure these parameters during installation. Which of the following options are valid methods for securely and effectively handling these configurations in a Snowflake Native App?

A) Expose configuration parameters as secure UDFs (User-Defined Functions) that the consumer can modify after installation. This allows for dynamic adjustments without direct access to internal application logic.
B) Store configuration parameters directly in the application code as environment variables. This simplifies initial setup and reduces dependencies on external services.
C) Implement configuration tables within the application's shared data, secured by appropriate grants and roles, and provide a setup script that the consumer can execute to populate these tables with their desired values. Use secure views to access this configuration data.
D) Create a dedicated Snowflake stage for configuration files. Consumers can upload their configuration files to this stage during installation, and the application reads these files upon startup.
E) Utilize the 'SNOWFLAKE.ACCOUNT_USAGE schema to store configuration values. This ensures high availability and scalability, as it leverages Snowflake's managed infrastructure.

3. You are designing a Snowflake Native Application that allows consumer accounts to customize certain aspects of its behavior. Specifically, the application needs to support consumer-defined thresholds for alerting, stored as parameters. You want to allow consumers to set these thresholds through the 'ALTER APPLICATION' command. How can you achieve this MOST effectively while ensuring that these parameters are securely managed and accessible within your application code?

A) Use 'ALTER APPLICATION' to modify session variables, which are then accessible within the application code via 'SYSTEM$GET_VARIABLE'.
B) Use 'ALTER APPLICATION' to directly modify values within a consumer-managed table, reading values from that table in your stored procedures.
C) Define parameters within the application manifest (manifest.yml) with mutable set to True. Use the SYSTEM$GET PARAMETER function within your application logic to retrieve these consumer-configurable values.
D) Define parameters using the 'USING' clause during application deployment in the provider account. Then, use 'ALTER APPLICATION' to modify these parameters in the consumer account.
E) Define parameters within the application manifest (manifest.yml) with mutable set to True. Use the APPLICATION PARAMETER function within your application logic to retrieve these consumer-configurable values.

4. You are developing a Snowflake Native Application that performs complex data transformations. As part of your development lifecycle, you need to ensure that your code behaves idempotently even when facing intermittent network errors or unexpected disruptions. Consider the following function written in Snowpark Python that updates a table:

What modification is necessary to make this function idempotent against disruptions during the writing process to Snowflake and unexpected execution?

A)

B) Leverage Snowflake's 'TRANSACTIONAL_REPLICATION' to replicate the operations to minimize data loss in between failures.
C) Create a temporary table, write the transformed data to the temporary table, and then atomically rename the temporary table to the original table name.
D) Use a 'MERGE statement to selectively update only changed rows, while ignoring existing ones.
E) Wrap the 'df.write' operation in a retry mechanism with exponential backoff to handle intermittent network errors.

5. You are building a Snowflake Native Application that relies on a complex transformation pipeline. This pipeline involves multiple SQL scripts and User-Defined Functions (UDFs). To manage this complexity, you want to ensure that the deployment process is automated and repeatable. Which approach would you consider to manage the deployment and versioning of your application code and its database objects?

A) Store SQL Scripts and UDFs external to the application, providing instructions to the consumers to manually download and install.
B) Package all SQL scripts and UDFs into a single, large SQL file and execute it during installation.
C) Rely exclusively on Snowflake's built-in version control features (if available), which automatically manage schema changes.
D) Manually execute each SQL script and UDF creation statement in the consumer's Snowflake environment.
E) Use a deployment tool like Flyway or Liquibase to manage database schema changes and versioning, integrating it into your application's setup script.

Solutions: