A Snowflake Native Application uses a task 'aggregate_data' to aggregate dat a. This task is owned by the 'app_public' role and executes a stored procedure 'aggregate data proc'. Consumers have reported the task sometimes fails intermittently, citing permission issues, specifically related to accessing a specific table in the consumer account. The application provider has granted 'SELECT' privilege on the table to the 'app_public' role. However, the failures persist. What is the MOST LIKELY cause of the intermittent failures related to executing the task?

• A. The stored procedure is executed with caller's rights (CALLER), and the 'EXECUTE TASK privilege wasn't granted correctly, which causes the user to randomly lose access on the Snowflake Ul.
• B. The stored procedure is executed with definer's rights (OWNER), so the privilege check occurs against the application provider's account, not the consumer's account.
• C. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have sufficient warehouse privileges in the consumer account.
• D. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have the ACTIVATION privilege on the task.
• E. The task 'aggregate_data' is executing with definer's rights (OWNER) of the application, so the grant of SELECT privilege to 'app_public' is sufficient, and there is likely an issue with transient network connectivity.

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

A Snowflake Native App provider is working on the consumer-side testing of their application. They need to verify that specific events are being recorded correctly in the Event Table within the consumer's account. They are using the Snowflake Native Apps framework's testing capabilities. Which of the following approaches would be MOST reliable for validating the contents of the Event Table during automated testing?

• A. Implement a stored procedure within the Native App that queries the Event Table and returns the results to the provider through a secure output parameter.
• B. Grant SELECT privileges on the Event Table to a role in the consumer account that is accessible by the provider's testing framework.
• C. Directly query the Event Table from the provider's account using a cross-account secure data share.
• D. Use the 'SHOW EXTERNAL TABLES command within the consumer account to inspect the Event Table's structure and contents.
• E. Utilize the testing framework's built-in assertion capabilities to verify that specific events are present in the Event Table based on expected values.

A customer has installed your Snowflake Native Application, which utilizes a IJDF that performs complex calculations. The customer reports performance issues and sporadic errors. As the application provider, how can you BEST establish telemetry and observability to diagnose the problem, without compromising the customer's data security or privacy?

• A. Implement logging within the UDF to capture execution time, input parameters (anonymized), and error messages. Store this data in an Event Table within the application provider's account and expose aggregate statistics through a secure API endpoint for the consumer to monitor.
• B. Instruct the customer to enable verbose logging in their Snowflake account and provide you with the log files for analysis.
• C. Request direct access to the customer's Snowflake account to inspect the IJDF execution logs and query performance metrics.
• D. Create a shared view on the UDF execution logs in the customer's account, granting you read-only access to the relevant information.
• E. Utilize Snowflake's Query History to track the IJDF's performance in the customer's account and provide recommendations based on the observed query patterns.