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| Section | Weight | Objectives |
|---|
| Advanced Features & Management | 20% | - Integration with Snowpark and external services - Event logging and telemetry - Billing events and cost monitoring - Governance and compliance
|
| Application Deployment & Distribution | 25% | - Listing types and monetization - Upgrades and lifecycle management - Versioning and release management - Publishing to Snowflake Marketplace
|
| Application Design & Creation | 35% | - Manifest files and configuration - Setup scripts and application logic - Application packages and objects - Native App Framework architecture - Security and access control
|
| Application Installation & Testing | 20% | - Provider and consumer workflows - Testing strategies and validation - Installation procedures and dependencies - Debugging and troubleshooting
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q345-Q350):
NEW QUESTION # 345
You are creating a Snowflake Native Application that includes a stored procedure to process sensitive dat a. The procedure needs to access data from a table owned by the application package and write processed data to a table in the consumer's account. The data in the consumer's table must only be accessible by authorized roles within the consumer's account, not directly by the application itself. Which of the following approaches ensures the MOST secure and controlled access to the consumer's data?
- A. Create a secure view on the consumer's table and grant the APPLICATION' role 'SELECT privileges on the view.
- B. Use the EXECUTE AS CALLER clause for the stored procedure, requiring the consumer to grant the necessary privileges to a role that executes the procedure.
- C. Implement an API endpoint within the application package that the consumer can call to retrieve the processed data.
- D. Store the processed data in an intermediate stage accessible to both the application and the consumer.
- E. Grant the 'APPLICATION' role direct 'SELECT and 'INSERT privileges on the consumer's table.
Answer: B
Explanation:
'EXECUTE AS CALLER is the most secure approach. It forces the stored procedure to execute with the privileges of the caller (the consumer's role). The consumer must grant a specific role the necessary privileges on their table, giving them full control over who can access the data. Granting direct privileges to the 'APPLICATION' role compromises security. Secure views can still expose data, and an API endpoint adds unnecessary complexity. An intermediate stage creates a potential security vulnerability and requires additional management.
NEW QUESTION # 346
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. 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'.
- B. 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.
- C. Contact Snowflake support immediately, as 'JavaScript out of memory' errors always indicate a platform bug.
- D. Increase the warehouse size for the consumer's instance where the app is installed, assuming larger warehouses always provide more memory for JavaScript execution.
- E. 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.
Answer: A,B,E
Explanation:
Options A, C, and D are all valid strategies for diagnosing and resolving JavaScript memory issues in Snowflake Native Apps. A: Detailed logging helps pinpoint where large data structures are being created or if recursive functions are causing stack overflows. C: Examining query profiles in allows you to directly observe memory usage and identify problematic queries. D: Refactoring JavaScript code to manage memory more efficiently prevents the root cause of the problem. Option B is incorrect because while a larger warehouse provides more resources, it doesn't address the underlying memory leak in the JavaScript code. Option E is incorrect because memory issues are often caused by developer code and should be investigated before assuming a platform bug.
NEW QUESTION # 347
You are developing a Snowflake Native Application that processes customer order dat a. As part of the setup script, you need to create a shared database and a secure view to expose aggregated order statistics to consumer accounts. Which of the following is the MOST secure and efficient way to achieve this, considering data governance and performance?
- A. Create a regular view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared view.
- B. Create a secure view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
- C. Create a regular view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
- D. Create a secure view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared secure view.
- E. Create a secure materialized view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this materialized view.
Answer: D
Explanation:
Creating a secure view in the application database with the APPLICATION role and then sharing the application database is the most secure option. Using the APPLICATION role ensures only the application can access the underlying data. Secure views ensure that data is masked according to the view's definition when accessed by consumers. Consumer accounts use a local view to interact with the shared data, providing an abstraction layer. Materialized views are generally not shared directly because they represent pre-computed data and may not reflect the latest changes.
NEW QUESTION # 348
You are developing a Snowflake Native Application that uses a custom Python handler to perform data transformations. This handler requires access to a third-party Python package not included in the standard Anaconda environment provided by Snowflake. To ensure the application functions correctly on consumer accounts, what steps must you take? (Select all that apply)
- A. Include the required Python package in the application package as a zip file using the 'CREATE or REPLACE FUNCTION' command with the 'imports' clause.
- B. Create a stage and upload the python package(s). Then in the Python UDF code, reference the python package from the stage.
- C. Specify the Python package as a dependency in the application's setup script using a install command.
- D. Use the SALTER FUNCTION' command after installation on the consumer's account to add the required Python package to the function definition. This option is not possible.
- E. Instruct consumers to manually install the necessary Python package using 'pip install' in a Snowflake Snowpark Python worksheet after installing the application.
Answer: A,B
Explanation:
Snowflake Native Applications cannot rely on consumers manually installing dependencies or executing arbitrary shell commands for security reasons. Including the Python package as a zip file via the 'imports' clause within the 'CREATE or REPLACE FUNCTION' command ensures that the dependency is automatically available when the Python handler is executed within the application environment on the consumer's account. Option C is not a valid command and not permissible in Snowflake. Also, consumers cannot use alter after the installation, Hence it will not work. A and D are the correct choices.
NEW QUESTION # 349
A Snowflake Native App developer is designing the upgrade process for their application. They need to ensure that data stored in the application's managed tables is preserved during the upgrade and that the application remains functional throughout the upgrade process. Which of the following strategies should the developer implement to achieve these goals? (Select TWO)
- A. Utilize Snowflake's data sharing capabilities to create a read-only replica of the application's data for the new version to access during the upgrade.
- B. Use the 'DROP TABLE command with the 'CASCADE' option to remove all tables and views before deploying the new version of the application.
- C. Before upgrading, unload all data from the application's tables to cloud storage, and then reload the data into the new version after the upgrade is complete.
- D. Design the application's data model to be backward-compatible, allowing the new version to read and write data in the format used by previous versions. Use 'ALTER TABLE to add new columns or modify existing ones without breaking existing functionality.
- E. Implement a versioning system for the application's metadata using the ' APPLICATION VERSION' construct, ensuring that the new version can handle data from previous versions.
Answer: D,E
Explanation:
Option B correctly describes the use of 'APPLICATION VERSION' to manage metadata compatibility between versions. Option D correctly emphasizes designing for backward compatibility in the data model using 'ALTER TABLE for schema changes, which avoids data loss and ensures a smoother upgrade process.
NEW QUESTION # 350
......
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