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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You've built a Snowflake Native Application that processes data and exposes a set of stored procedures to the consumer. You're implementing a CI/CD pipeline using GitLab CI/CD for deploying updates. Your pipeline includes the following stages: linting, unit testing, integration testing, and deployment to a staging environment. During the integration testing stage, you want to verify that the exposed stored procedures function correctly against a representative dataset. What is the MOST effective approach for performing these integration tests?

A) Mock the Snowflake environment entirely within the GitLab CI/CD runner and execute the stored procedures against the mock environment. This eliminates the need for a live Snowflake connection during testing.
B) Execute the stored procedures directly from the GitLab CIICD runner using a Snowflake connection established with hardcoded credentials in the CI/CD configuration.
C) Provision a dedicated Snowflake testing account with a representative dataset. Install the application version in this account and execute the stored procedures from within the account using Snowflake's SQL API or a Snowpark Python test framework.
D) Create a separate set of stored procedures within the application package specifically for testing purposes. These procedures should mimic the functionality of the production stored procedures and assert their behavior.
E) Use the application's setup script to automatically create a test database populated with sample data when the application is installed. Integration tests can then run queries in this database to ensure the application functions correctly.

2. A Snowflake Native Application, 'Geolnsights', uses an external API to enrich location data provided by consumers. This API requires an API key for authentication. How can you securely manage and access this API key within the Native Application's code, ensuring that it is not directly exposed in the application package or code repository?

A) Store the API key in an external key management system (e.g., AWS KMS, Azure Key Vault) and retrieve it within the UDF using a custom external function, ensuring the function has appropriate access permissions.
B) Hardcode the API key within the UDF itself after obfuscating it using a basic encoding algorithm (e.g., Base64).
C) Pass the API key as a parameter to the UDF from the consumer's environment.
D) Use a Snowflake Secret to store the API key and retrieve it within the application's UDF using the 'SYSTEM$GET SECRET function.
E) Store the API key directly in a configuration file within the application package and encrypt the application package during deployment.

3. You are managing a Snowflake Marketplace listing for your native application. You need to update the application logic and schem a. Which of the following actions is the correct sequence to perform the update in a non-breaking way for existing consumers?

A) Create a patch version with bug fixes and create a new minor version with schema changes, and release it as an upgrade on the Marketplace.
B) Deprecate the existing version of the application and force all consumers to upgrade to the new version within 24 hours.
C) Directly modify the application's code and schema in the production environment, then announce the changes to consumers.
D) Create a new version of the application with the updated logic and schema, test it thoroughly, and then release it as an upgrade on the Marketplace.
E) Modify the existing application's code and schema, create a new listing for the updated version, and remove the old listing.

4. You are developing a Snowflake Native Application that provides data enrichment services. You want to offer tiered pricing based on the number of API calls made by consumers. Which of the following is the most effective approach to implement usage-based billing and track API call consumption within your application?

A) Implement a custom logging mechanism within the application to track API calls and store the logs in a separate Snowflake database, accessible only to the provider. Use scheduled tasks to analyze these logs and generate billing data.
B) Utilize Snowflake's events table to capture API call events based on function executions, enabling precise tracking and reporting of API usage for each consumer.
C) Implement a UDF within the application that increments a counter in a shared table each time an API endpoint is called. Query this table to determine usage.
D) Leverage Snowflake's built-in metering framework using and 'SYSTEM$METER STAGE_STORAGE BYTES' to indirectly estimate API calls.
E) Use Snowflake's resource monitors to limit the compute resources available to consumers based on their chosen tier.

5. You are developing a Snowflake Native Application that processes sensitive customer dat a. You need to ensure that the application logs all relevant events for auditing and debugging purposes, while adhering to data privacy regulations. Which of the following strategies would BEST facilitate secure and compliant logging within the application provider's environment?

A) Send logs to an external logging service via API calls, ensuring the service is SOC 2 compliant and offers end-to-end encryption. Consumers configure the service to receive logs and set up audit trails.
B) Implement logging using standard Python logging libraries within the application code and direct the logs to stdout/stderr. Rely on the consumer to configure logging infrastructure within their account to capture the output.
C) Encrypt all sensitive data within the logs using a key managed by the consumer before writing to a standard Snowflake table within the application container. Provide the consumer with the decryption key upon request.
D) Log all events directly to a Snowflake table within the application's container, granting direct access to the consumer account for auditing.
E) Utilize Snowflake's Event Tables with appropriate masking policies to redact sensitive information before logging. Configure a data retention policy that complies with regulatory requirements. Define alerts based on specific event types to proactively address potential issues within the application.

Solutions: