Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. When designing the architecture of a Snowflake Native App, which of the following architectural considerations and trade-offs should you carefully evaluate to optimize performance, security, and cost-effectiveness? (Select all that apply)

A) Using secured API integration to call the external APIs to get real time details in the app to make the app more useful.
B) Minimizing data transfer between the provider and consumer accounts by leveraging Snowpark and UDFs for data processing within the consumer's environment.
C) Choosing the appropriate data access model (e.g., UDFs, stored procedures, Snowpark) based on the specific use case and performance requirements, considering the overhead associated with each approach.
D) Storing all application data within the provider account and accessing it directly from the consumer account using data sharing to avoid data duplication.
E) Implementing robust error handling and logging mechanisms to facilitate debugging and monitoring of the application's behavior in both the provider and consumer environments.

2. You are preparing to publish a Snowflake Native Application on the Snowflake Marketplace. You have successfully built and tested the application in your development account. Which of the following steps are CRITICAL for preparing the application listing metadata and ensuring a smooth onboarding experience for consumers?

A) Ensure all necessary data governance and security measures are in place, including compliance with relevant regulations (e.g., GDPR, CCPA). Clearly document these measures in the application listing.
B) Thoroughly test the application installation and upgrade process in a separate Snowflake account (ideally one that mimics a typical consumer environment) to identify and resolve any potential issues.
C) The listing should include a well-defined support strategy, outlining how you will handle customer inquiries, bug reports, and feature requests. Provide contact information and estimated response times.
D) Provide a comprehensive and user-friendly application description that clearly outlines the application's functionality, benefits, and intended use cases. Include screenshots and/or videos demonstrating the application in action.
E) Define a clear pricing model (e.g., free, per-use, subscription) and accurately estimate the resource consumption (Snowflake credits) required for typical application usage. Include a free trial period if possible.

3. You are deploying a Snowflake Native Application that utilizes a UDF (User-Defined Function) to perform complex data transformations. The UDF is written in Python and depends on several external packages. You need to ensure that the consumer of your application can seamlessly install and use the UDF without encountering dependency conflicts or versioning issues. How should you manage the UDF and its dependencies during the deployment process, considering Snowflake's Native App framework?

A) Package the Python UDF and its dependencies into a ZIP file and include it in the application package. Consumers will need to manually install the dependencies using 'conda install' after installing the application.
B) Utilize the Snowflake Native Apps framework to bundle the Python UDF and its dependencies within the application package. Snowflake will automatically handle dependency resolution during application installation.
C) Use Anaconda packages within the Snowflake environment to manage Python dependencies. Ensure all required packages are explicitly listed in the setup script used during the application installation process.
D) Document the Python UDF dependencies in the application's documentation and instruct consumers to manually install them before using the function. No packaging is required.
E) Upload the Python UDF code directly into a stage and create a Snowflake function using the 'CREATE FUNCTION' command. Rely on the consumer's existing Python environment to resolve dependencies.

4. A data analytics company is developing a Snowflake Native App that allows customers to enrich their existing Snowflake data with external, proprietary datasets. The application requires READ access to customer tables and the ability to store processed results within the application's managed database. Which combination of Snowflake Native App Framework privileges and features is MOST appropriate to achieve this functionality?

A) Use an API Integration to securely access the customer's data and a Stored Procedure to write the enriched data into application's stage.
B) The application package grants OWNERSHIP privilege on customer tables to the application. Use standard INSERT statements within stored procedures to write enriched data into the application's managed database.
C) The application's manifest includes REQUESTED PRIVILEGES = [ 'USAGE ON DATABASE', 'READ ON TABLE' ]. Use stored procedures executing with caller's rights to access customer tables and standard INSERT statements to write to the managed database.
D) The application's manifest includes REQUESTED PRIVILEGES = [ 'READ ON DATABASE', 'READ ON TABLE' l. Use stored procedures executing with definer's rights to access customer tables through a secure view, and standard INSERT statements to write to the managed database.
E) The application's manifest includes REQUESTED PRIVILEGES = [ 'READ' l. Use stored procedures executing with definer's rights to access customer tables and external functions to write to the managed database.

5. You are developing a Snowflake Native App that uses JavaScript stored procedures for complex data transformations. You want to implement robust error handling and logging to ensure that you can effectively troubleshoot issues in both provider and consumer environments. Which of the following strategies provide the MOST comprehensive approach to error handling and logging in this scenario? (Select TWO)

A) Configure Snowflake's built-in query history to capture all query executions and analyze the query text for errors. No explicit logging within the stored procedures is necessary.
B) Implement a custom error tracking system using external functions to send error information to a third-party logging service.
C) Rely solely on the error messages displayed in the Snowflake web UI when a stored procedure fails. These messages are sufficient for most debugging scenarios.
D) Use 'CALL SYSTEM$LOG(...)'})$ within your JavaScript stored procedures to log messages at different levels (e.g., INFO, WARN, ERROR) directly to the Snowflake event table. Implement structured logging for easier analysis.
E) Use 'TRY...CATCH' blocks within your JavaScript stored procedures to catch exceptions. Log the exception message and stack trace to a dedicated logging table in the provider's account.

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