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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native App that allows consumers to enhance their existing customer data with enrichment data provided by your app. The app relies on secure data sharing. To minimize data duplication and maximize query performance within the consumer's account, which of the following approaches offers the MOST optimized and secure way to deliver the enrichment data?

A) Create a staging table in the provider account, load the enrichment data into it, and grant the consumer account SELECT privileges on this staging table. The consumer then creates their own table and copies the data.
B) Create a secure view within the application package itself, which joins the application's enrichment data with consumer-provided data via an API integration. The consumer queries this secure view.
C) Use Snowflake Data Marketplace listing to provide enrichment data.
D) Utilize Snowflake Secure Data Sharing to directly share the enrichment data tables from the provider account to the consumer account. The consumer can then create views on the shared tables or query them directly.
E) Develop a Snowflake UDF (User-Defined Function) that, when called in the consumer account, retrieves the enrichment data from an external API endpoint (maintained in the provider account) and returns it.

2. An application provider creates a Snowflake Native App that needs to access sensitive data within the consumer's account. The provider has already defined an APPLICATION ROLE named Which of the following combination of actions are required to grant the 'app_role' the ability to select data from a table named 'customer_data' in schema of database 'consumer_db' within the consumer's account? (Choose two)

A) Grant the 'SELECT privilege on the 'consumer_db.app_schema.customer_data' table to the 'APPLICATION PACKAGE
B) Grant the 'USAGE privilege on the schema to the 'APPLICATION ROLE app_role' .
C) Grant the 'SELECT privilege on the 'consumer_db.app_schema.customer_data' table to the 'APPLICATION ROLE app_role'.
D) No privileges are needed as the Application already installed in consumer account.
E) Grant the 'IMPORTED PRIVILEGES' privilege on the 'consumer_db' database to the 'APPLICATION PACKAGE.

3. Consider the following scenario: You're developing a Snowflake Native Application that requires both data loading and complex analytical queries. You plan to use separate warehouses to optimize performance and manage resources effectively. Given the requirements, which of the following warehouse configurations is the MOST appropriate?

A) Two warehouses: one dedicated to data loading, configured with to save costs and other warehouse for analytical queries.
B) One warehouse sized 'X-SMALL' for data loading and another sized URGE' for analytical queries.
C) Two warehouses: one with 'AUTO SUSPEND = 60' for data loading and another with 'AUTO SUSPEND = 3600' for analytical queries.
D) One large warehouse to handle both data loading and analytical queries, sharing resources to minimize costs.
E) Two warehouses: one dedicated to data loading configured with "WAREHOUSE_SIZE = X-SMALL' and another for analytical queries configured with 'WAREHOUSE SIZE = LARGE and 'MAX CONCURRENCY LEVEL = 8'.

4. You are developing a Snowflake Native Application and need to implement robust logging for troubleshooting purposes. You want to capture detailed information about function calls, including input parameters and return values. Which of the following approaches offers the MOST comprehensive and secure solution for logging within a Snowflake Native Application, considering the limitations imposed by the Snowflake environment?

A) Using ' SYSTEM$LOG' with trace level logging and store the logs into internal stage, accessible only by the application's service user.
B) Employing 'EXECUTE IMMEDIATE to write log messages directly to a dedicated logging table within the consumer's account.
C) Writing log messages to an external stage (e.g., AWS S3, Azure Blob Storage) that is accessible to both the provider and consumer accounts.
D) Leveraging Snowflake's event tables and configuring the application to emit custom events, then creating views on those event tables within the consumer's account.
E) Using 'SYSTEM$LOG' with debug level logging and capturing logs in a secure internal stage, managed by the provider, ensuring data privacy and limited consumer access.

5. You are developing a Snowflake Native Application that interacts with sensitive customer dat a. You want to implement robust security scanning before publishing to the Snowflake Marketplace. Which of the following strategies are MOST effective to detect and prevent potential vulnerabilities before submitting your application, considering limitations on marketplace pre-publication scanning capabilities?

A) Implement a comprehensive CI/CD pipeline that includes static code analysis (SAST) using tools like SonarQube or similar, focusing on SQL injection, cross-site scripting (XSS), and insecure deserialization vulnerabilities. Include unit and integration tests with parameterized inputs. Regularly update dependency versions and scan for known vulnerabilities in third-party libraries included in your application's code (e.g., Python libraries).
B) Manually review all code for potential security flaws and ensure adherence to secure coding practices.
C) Employ a third-party penetration testing service to perform a black-box test of the application after deployment in a staging environment but prior to Marketplace submission.
D) Rely solely on Snowflake's built-in scanning during the Marketplace submission process, as it covers all known vulnerabilities.
E) Only use Snowflake provided templates and example codes as these are already pre-approved from security perspectives

Solutions: