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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are building a Snowflake Native App that needs to store configuration settings specific to each consumer account. These settings will influence the behavior of the application. Which of the following methods is the MOST secure and recommended approach for managing these configuration settings within the Snowflake Native App Framework?

A) Use external configuration files stored in an Amazon S3 bucket and accessed via external functions. This provides flexibility and scalability.
B) Store the configuration settings directly within the application's code. This allows for easy access and modification during development.
C) Store the configuration settings in a public database table within the application's share. This makes the settings easily accessible to all consumers.
D) Utilize parameters defined in the 'setup.sql' script and accessible via SQL commands like 'SYSTEM$GET APP PARAMETER. This allows consumers to configure the application during installation.
E) Hardcode the configuration settings directly into the manifest file as environment variables.

2. You are developing a Snowflake Native Application that needs to be deployed across multiple Snowflake accounts. The application includes a setup script that creates several tables and stored procedures. However, some consumers might have naming conflicts with the objects created by your setup script. Which of the following strategies can you use to minimize naming conflicts and ensure smooth application deployment? (Select all that apply)

A) Package all application objects into a dedicated schema within the consumer's database.
B) Dynamically generate object names within the setup script using the application's name and a random suffix.
C) Prefix all objects created by the setup script with a unique, application-specific identifier.
D) Instruct consumers to drop any conflicting objects before installing the application.
E) Utilize the 'CREATE OR REPLACE syntax for all objects in the setup script to overwrite any existing objects.

3. You're developing a Snowflake Native Application and want to control access to different features based on roles. You have a Streamlit application that displays sensitive data, and you only want users with the 'DATA ANALYST and 'ADMIN' roles to be able to view this dat a. Which of the following methods or a combination of methods are MOST appropriate for enforcing this role-based access control within your Streamlit application and the underlying Snowflake resources?

A) Implement row-level security (RLS) policies on the underlying tables to filter data based on the user's role. Then, within the Streamlit application, simply display the data without any explicit role checks. The RLS policies will automatically ensure that users only see the data they are authorized to see. Grant 'SELECT privilege on the underlying data tables to the 'DATA ANALYST and 'ADMIN' roles directly.
B) Create a custom python module that checks if the user's role matches "DATA_ANALYST or 'ADMIN' and configure it for role based access control.
C) Within the Streamlit application, use 'snowflake.connector' to execute 'SELECT and check if the returned role matches DATA ANALYST or 'ADMIN'. If so, display the data; otherwise, display an error message. Grant USAGE' privilege on a custom role, and grant 'SELECT on the underlying tables and USAGE on the schema to that custom role. Finally grant the 'DATA_ANALYST and 'ADMIN' roles to this custom role.
D) Within the Streamlit application, use the function to check for a URL parameter containing the user's role. If the role matches or 'ADMIN', display the data; otherwise, display an error message. Grant 'SELECT' privilege on the underlying data tables to the DATA ANALYST and 'ADMIN' roles directly.
E) Create a stored procedure that checks the user's role using 'CURRENT and returns the requested data only if the role matches or ' ADMIN'. Call this stored procedure from your Streamlit application. Do not grant any direct privileges on the underlying tables to the 'DATA_ANALYST or 'ADMIN' roles. Set the 'EXECUTE AS CALLER property on the stored procedure.

4. You are developing a Snowflake Native App that needs to persist state information between different invocations. The app requires tracking of user preferences, processing progress, and other runtime dat a. Which of the following options are viable and secure methods for persisting this type of state information within the context of a Snowflake Native App?

A) Using internal stages and secured views in consumer account to persist state information.
B) Using secure external stages managed by the application provider to store the consumer-specific state information.
C) Using the application provider's own Snowflake account to store state information associated with each consumer.
D) Storing state information within the application package itself by updating the package version with each state change.
E) Using temporary tables within the consumer's account to store state information. The tables are dropped when the app is uninstalled.

5. You are designing a Snowflake Native Application that utilizes Snowpark Container Services to provide a data enrichment service for customer dat a. This service requires the application to securely store and manage API keys and other sensitive configuration data. Which of the following methods offers the MOST secure and compliant approach for managing these secrets within the context of a Snowflake Native Application deployed in the customer's environment?

A) Storing the API keys in an external key management system (KMS) and granting the container access to the KMS using its assigned service account.
B) Encrypting the API keys using a symmetric key and storing them in a Snowflake table. The container retrieves and decrypts the keys at runtime.
C) Storing the API keys directly within the container's environment variables during the container build process.
D) Hardcoding the API keys within the application's source code. The source code is obfuscated to make it difficult to extract the keys.
E) Leveraging Snowflake secrets to securely store and manage the API keys. The container retrieves the secrets at runtime using the Snowflake API or Snowpark.

Solutions: