You are developing a Snowflake Native App that uses JavaScript stored procedures. During consumer testing, you observe inconsistent behavior: sometimes the app works perfectly, other times it throws intermittent 'JavaScript out of memory' errors. You suspect a memory leak in your JavaScript code. Which of the following actions could help you diagnose and resolve this issue effectively?

• A. Enable detailed logging within your JavaScript stored procedures using 'CALL SYSTEM$LOG(...)'})$ and analyze the logs for excessively large data structures or recursive function calls.
• B. Increase the warehouse size for the consumer's instance where the app is installed, assuming larger warehouses always provide more memory for JavaScript execution.
• C. Use the 'INFORMATION SCHEMA.QUERY HISTORY view on the consumer account to examine the query profiles of the JavaScript stored procedures, looking for excessive memory consumption or spillover to local storage.
• D. Contact Snowflake support immediately, as 'JavaScript out of memory' errors always indicate a platform bug.
• E. Refactor your JavaScript code to minimize the creation of large, temporary objects and ensure that objects are properly garbage collected by setting unused object references to 'null'.

You're packaging a Snowflake Native Application that performs complex analytical computations on data within the consumer's account. This computation involves several intermediate tables and functions, all created within the application package. You want to optimize the application's performance and reduce storage costs in the consumer's account. Which of the following strategies can be employed to achieve these goals, especially considering that intermediate data is not intended to be directly accessible to the consumer?

• A. Implement data pruning techniques within the application's logic to delete intermediate data as soon as it is no longer needed, even if permanent tables are used for intermediate steps.
• B. Create all intermediate tables as temporary tables. Temporary tables are automatically dropped at the end of the session, minimizing storage costs and ensuring data privacy.
• C. Create all intermediate tables as transient tables. Transient tables do not support Time Travel or Fail-safe, which reduces storage costs, and grant appropriate privileges to application roles.
• D. Use external tables to store the intermediate results in cloud storage (e.g., AWS S3), accessed through a secure integration. This minimizes the storage footprint within the consumer's Snowflake account.
• E. Create all intermediate tables as standard permanent tables, relying on Snowflake's automatic data compression and storage optimization features to minimize costs. Grant limited privileges to the consumer to control data access.

You are developing a Snowflake Native Application that requires fine-grained control over data access for its users. You plan to use Streamlit within the application and leverage the Permissions API to manage these privileges. Assume you have successfully established a connection to Snowflake within your Streamlit app. Which of the following code snippets accurately demonstrate how to grant the 'SELECT privilege on a table named 'APP DATA in the application's schema to a specific role, 'APP USER, using the Permissions API, and then verify if that privilege has been granted?

• A.
  
• B.
  
• C.
  
• D.
  
• E.
  

You are designing a Snowflake Native Application that requires fine-grained access control to its data within the consumer account. You want to ensure that consumers can only access data relevant to their specific department. Which of the following Snowflake features, when combined, offer the MOST secure and flexible solution for implementing this requirement within the context of a Snowflake Native Application ?

• A. Views and Stored Procedures with Caller's Rights.
• B. Row Access Policies and Secure Views with Caller's Rights.
• C. External Tables and Secure Views with Owner's Rights.
• D. Dynamic Data Masking policies and Views with Caller's Rights.
• E. User-Defined Functions (UDFs) and Row Access Policies.

You are developing a Snowflake Native Application intended for the Snowflake Marketplace. Before listing your application, you want to ensure it adheres to Snowflake's best practices for security, performance, and usability. Which of the following steps should you take to validate your application prior to submission? (Choose three)

• A. Manually review the application code to identify potential SQL injection vulnerabilities and optimize query performance.
• B. Deploy the application to a separate Snowflake account and simulate user interactions to validate the application's usability and functionality.
• C. Submit your application code to a third-party security auditing firm for a comprehensive vulnerability assessment.
• D. Use Snowflake's built-in code scanning tools (if available in the future) to automatically identify security vulnerabilities and code quality issues.
• E. Conduct thorough testing of the application on various Snowflake editions and sizes to ensure scalability and performance across different environments.