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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Native Application package contains a secure view that exposes customer dat a. The application provider wants to ensure that only the application itself, and not the consumer's roles, can access the underlying table. They have granted OWNERSHIP on the table to the application. Which of the following SQL statements would be MOST effective in managing privileges so that the application package can securely access customer data and consumers cannot directly access it via their own roles?

A) GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE; REVOKE SELECT ON TABLE FROM ROLE PUBLIC;
B) No additional privileges are needed as the application package has ownership of the object.
C) GRANT SELECT ON TABLE .. TO APPLICATION ROLE ;
D) REVOKE ALL PRIVILEGES ON TABLE .. FROM ROLE PUBLIC; GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE;
E) GRANT SELECT ON TABLE .. TO APPLICATION PACKAGE;

2. You are developing a Snowflake Native Application that requires robust role-based access control. The application provides data transformation services to consumer accounts. You want to define distinct roles for different levels of access: 'TRANSFORMER_ADMIW (full control), 'TRANSFORMER USER (execute transformations), and 'TRANSFORMER OBSERVER (read-only access to metadata). In the setup script, which SQL statements are the MOST secure and efficient way to achieve this while adhering to Snowflake's recommended practices for application roles?

A)

B)

C)

D)

E)

3. You are developing a Snowflake Native Application that uses Streamlit for its user interface. The application needs to access a custom Python module named 'my_module' which resides within your application package. You have correctly packaged the module. However, when running the Streamlit application, you encounter an 'ImportError: No module named What is the most likely reason for this error and how can you resolve it?

A) The correct handler is not specified in the 'manifest.ymr file.
B) Streamlit does not support custom Python modules within Snowflake Native Applications. You must use only built-in Python modules or those available through Anaconda.
C) The 'my_module' is not included in the file for your application package. Add it to the 'packages' list in 'setup.py'.
D) The 'my_module' is not located in the correct directory structure within the application package. Ensure it's placed in the 'src' directory (or the directory specified in 'package-name' in 'setup.py') and the directory structure mirrors the package structure required for import.
E) The Streamlit application is not aware of the application package's Python environment. You need to set the environment variable within the Streamlit application to point to the directory containing 'my_module'.

4. You are managing the release of a new version (v2.0) of your Snowflake Native Application that introduces significant schema changes to shared tables accessed by consumer accounts. To minimize disruption during the upgrade, you want to implement a phased rollout while ensuring backward compatibility for consumers who haven't yet upgraded. Which of the following strategies would allow you to achieve this goal effectively? (Select TWO)

A) Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.
B) Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.
C) Create separate versions of the shared tables for vl .0 and v2.0, using views to present a unified interface. Grant consumer 'USAGE on view after upgrading.
D) Create views on top of the new schema in v2.0 that emulate the old schema from vl .0. Grant consumers 'USAGE' on these views until they upgrade.
E) Use dynamic SQL within stored procedures to conditionally access either the old or new schema based on the consumer's account ID, identified through a custom configuration table.

5. You are tasked with configuring a Snowflake Native Application that leverages Snowpark Container Services for a data transformation pipeline. The pipeline requires access to a public API to enrich dat a. However, the consumer's environment has strict network egress policies. The API endpoint is 'https://api.example.com/vl/data'. Which combination of Snowflake objects and configurations would best enable the container service to access this external API while adhering to the security policies ?

A) Configure an API integration in Snowflake and then use it within the Snowpark Container Service to authenticate and access the API.
B) Create a Snowflake external function that calls the API. Then, call the external function from within the Snowpark Container Service.
C) Use the role to bypass network policies and directly access the API from the container service.
D) Configure a Snowflake network rule specifying 'https://api.example.com/vl/data' as the allowed egress endpoint. Associate this rule with a network policy and assign the network policy to the container service.
E) Create a Snowflake stage with external access integration pointing to 'https://api.example.com/vl/data'. Mount this stage in the container service.

Solutions: