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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q130-Q135):
NEW QUESTION # 130
You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS) to run a machine learning model within the customer's Snowflake environment. The application requires access to data stored in a secure stage within the customer's account. Considering security best practices and the limitations of SPCS in Native Apps, what is the most secure and recommended approach to grant the container access to the customer's data stage?
- A. Packaging the data within the application package during the build process. This eliminates the need for runtime access to the customer's data stage.
- B. Granting the application's service account the 'READ privilege directly on the secure stage. This ensures the container can directly access the data.
- C. Utilizing a Snowflake external function that proxies the data access request to an external API gateway managed by the provider, which then fetches the data from the secure stage. This keeps the access credentials out of the customer's environment completely.
- D. Creating a Snowflake Stored Procedure with 'EXECUTE AS CALLER rights and granting the application's service account execute access to the stored procedure. The stored procedure reads data from the secure stage and returns it to the container via a secure data sharing mechanism.
- E. Creating a Snowflake UDF that reads data from the secure stage and exposes it through a secure view, which the container accesses using the application's service account.
Answer: D,E
Explanation:
Options B and E are the most secure and recommended approaches. Option B uses a UDF and secure view to abstract the data access, limiting the container's direct access to the secure stage and leveraging Snowflake's security features. Option E uses a Stored Procedure executed as the caller to access the data on behalf of the application's service account. This allows the service account access to the stored procedure itself, but the access to the underlying stage is controlled by the owner of the stored procedure and not the application. Options A is less secure as it directly grants access to the stage. Option C, while secure in principle, overcomplicates the data access pattern and relies on external infrastructure. Option D is not feasible for large datasets and is generally not a scalable solution.
NEW QUESTION # 131
You are developing a Snowflake Native Application that processes sensitive customer dat a. You need to ensure that the application logs all relevant events for auditing and debugging purposes, while adhering to data privacy regulations. Which of the following strategies would BEST facilitate secure and compliant logging within the application provider's environment?
- A. Implement logging using standard Python logging libraries within the application code and direct the logs to stdout/stderr. Rely on the consumer to configure logging infrastructure within their account to capture the output.
- B. Encrypt all sensitive data within the logs using a key managed by the consumer before writing to a standard Snowflake table within the application container. Provide the consumer with the decryption key upon request.
- C. Log all events directly to a Snowflake table within the application's container, granting direct access to the consumer account for auditing.
- D. Utilize Snowflake's Event Tables with appropriate masking policies to redact sensitive information before logging. Configure a data retention policy that complies with regulatory requirements. Define alerts based on specific event types to proactively address potential issues within the application.
- E. Send logs to an external logging service via API calls, ensuring the service is SOC 2 compliant and offers end-to-end encryption. Consumers configure the service to receive logs and set up audit trails.
Answer: D
Explanation:
Option B is the best approach. Snowflake's Event Tables provide a secure and managed environment for logging within the provider's account. Masking policies ensure data privacy by redacting sensitive information before logging. Retention policies help comply with regulations. Alerting allows for proactive issue resolution. Options A, C, D, and E present security or compliance risks.
NEW QUESTION # 132
You are tasked with designing a Snowflake Native App that requires multiple roles with different levels of access to its functionalities. The app needs to define which roles can perform specific actions, such as viewing data, modifying data, or managing app settings. Which of the following methods are CORRECT ways to control role-based access within a Snowflake Native App? (Select all that apply)
- A. Defining roles within the setup script with specific privileges and instructing the consumer to grant their existing roles to these newly created roles.
- B. Using the 'allowed_roleS section in the manifest file to restrict access to certain functionalities based on the consumer's roles. This ensures that only authorized roles can interact with those components.
- C. Defining application roles within the provider account and mapping them to consumer roles during the installation process. These application roles can then be used for fine-grained access control.
- D. Granting specific privileges to roles directly within the application's stored procedures and functions, checking the current role using and conditionally executing code based on the role.
- E. Creating separate versions of the application for each role, with each version containing only the functionalities that the role is allowed to access.
Answer: C,D
Explanation:
Option A is correct because using within stored procedures and functions allows you to conditionally execute code based on the current role, providing fine-grained access control. Option D is also correct because defining application roles within the provider account and mapping them to consumer roles during installation allows for a structured and manageable approach to role-based access control within the app.
NEW QUESTION # 133
Consider the following scenario: You are tasked with designing a setup script for a Snowflake Native Application. This script needs to perform several tasks including creating a database role, granting privileges to the role, and creating a schem a. Your application also provides a configuration table that needs to be populated during the setup process. Which of the following set of statements are true regarding the order of operations and security best practices within the setup script? (Choose all that apply)
- A. It is best practice to create the database role before creating the schema, to immediately grant ownership on the schema to the created role.
- B. The setup script should always be designed to be idempotent, meaning it can be executed multiple times without causing errors or unintended side effects. Use 'CREATE ... IF NOT EXISTS' where appropriate.
- C. Populating the configuration table should be done before creating any other objects, as other parts of the application might rely on the configuration during object creation.
- D. Setup Scripts should be designed in a way that it requires multiple manual interventions during execution.
- E. When granting privileges to the database role, use the 'APPLICATION' keyword to grant privileges on application objects, enhancing security and control.
Answer: A,B,E
Explanation:
Option A is correct because creating the role first allows for immediate ownership and control over the newly created schema. Option B is correct as using the 'APPLICATIONS keyword when granting privileges is a key security best practice in Snowflake Native Apps. It allows for controlled access to the data within the Application. Option D is correct because idempotency ensures the setup process can be retried if interrupted without causing issues. Option C is incorrect because, While application configuration is important, object creation, like defining schemas and roles usually must preceed loading configuration, and depend on the existence of these core components. Option E is wrong since It should require minimal to zero manual intervension.
NEW QUESTION # 134
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. Specify the Python package as a dependency in the application's setup script using a install command.
- B. Create a stage and upload the python package(s). Then in the Python UDF code, reference the python package from the stage.
- C. 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.
- D. Include the required Python package in the application package as a zip file using the 'CREATE or REPLACE FUNCTION' command with the 'imports' clause.
- E. Instruct consumers to manually install the necessary Python package using 'pip install' in a Snowflake Snowpark Python worksheet after installing the application.
Answer: B,D
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 # 135
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