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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are deploying a containerized application within a Snowflake Native App using Snowpark Container Services (SPCS). This application needs to interact with Snowflake's metadata, specifically retrieving information about tables and views within the customer's account. Which of the following methods is the MOST appropriate and secure way to achieve this?

A) Exposing a Snowflake UDF as an API endpoint that the container can call to retrieve metadata. The UDF executes the SQL queries against the INFORMATION SCHEMA.
B) Creating a REST endpoint within the container that accepts SQL queries as input and executes them against Snowflake using the application's internal service account, then returns the results as JSON.
C) Using the Snowflake CLI (snowsql) within the container, configured with the application's service account credentials, to execute queries against the INFORMATION SCHEMA.
D) Leveraging the Snowpark Python API within the container to execute SQL queries against the Snowflake INFORMATION_SCHEMA views.
E) Using the 'snowflake-jdbc' driver directly within the container, configured with the customer's Snowflake account credentials, which are passed as environment variables.

2. A Snowflake Native Application relies on a warehouse named 'ANALYTICS WH' for processing dat a. The application provider wants to implement a cost-effective strategy for managing the warehouse, ensuring it's only active when needed. Which of the following combinations of warehouse parameters will lead to the most efficient cost management?

A)

B)

C)

D)

E)

3. You are developing a Snowflake Native Application that uses Streamlit to provide a user interface for data analysts. The application accesses sensitive customer data residing in a managed database. To enhance security, you want to implement row-level security (RLS) based on the user's role. You have the following Streamlit code snippet:

Which of the following actions should you take to implement RLS in the Snowflake Native App, ensuring only authorized users can view specific rows of 'customer_data'? Assume the already contains necessary credentials. Choose the most secure and efficient method.

A) Create a secure view in Snowflake that implements RLS based on the role of the user executing the query. Grant the Streamlit user access to this view instead of the base table, and modify the 'get_data' function to query the view.
B) Use Snowflake's masking policies combined with a secure view. The masking policy reveals data based on the user's role. Grant the Streamlit application's role access to the secure view.
C) Modify the SQL query within the 'get_data' function to include a 'WHERE clause that filters data based on the current Streamlit user's username obtained using 'st.session_state.user.username' .
D) Implement RLS directly within the Streamlit application by filtering the 'data' DataFrame based on the user's role before displaying it using 'st.dataframe'. Store user roles in a separate table and fetch them using a different database connection.
E) Implement a custom Python decorator that checks user roles before executing the 'get_data' function. Raise an exception if the user lacks the necessary role.

4. Consider a Snowflake Native App that dynamically creates tables within the consumer's account using stored procedures. The application role is 'APP ROLE. After installation, the application needs to automatically grant 'SELECT privilege on all newly created tables in a specific schema CAPP DATA SCHEMA) to a consumer-defined role (CONSUMER ROLE). Which of the following approaches is the most secure and efficient way to achieve this? Assume the application cannot know the names of tables in advance.

A) Grant OWNERSHIP on to the APP_ROLE with the GRANT OPTION, then have the application create the tables. The CONSUMER ROLE will then have implicit access.
B) Grant future grants on the schema for 'SELECT privilege to the 'CONSUMER_ROLE when tables are created.
C) Manually create tables outside of the application and grant the privileges.
D) Use a task that runs periodically to discover new tables and grant SELECT privilege to CONSUMER_ROLE.
E) Include code in the stored procedure that creates the table to immediately grant SELECT privilege to CONSUMER_ROLE.

5. You are developing a Snowflake Native Application intended for the Snowflake Marketplace. The application provides data transformation services, leveraging external functions (UDFs) that invoke a REST API hosted on AWS Lambd a. You need to ensure the secure and compliant invocation of this external API from your application while adhering to Snowflake's best practices. Which of the following steps represent the MOST secure and recommended approach for configuring and invoking the external function?

A) Use Snowflake's built-in network rules to allow outbound traffic to all AWS IP ranges. Store the API key directly in the UDF definition as an environment variable.
B) Store the AWS Lambda function's URL and credentials (API key) in a configuration table within the Snowflake Native Application package. The external function retrieves these credentials from the configuration table at runtime. Configure an alert if the configuration table is modified.
C) Expose the AWS Lambda function publicly with no authentication. Configure the external function in Snowflake to point to the public Lambda URL. Document to consumers that the API has no security.
D) Create an API integration object in Snowflake, configuring a secure authentication mechanism such as AWS IAM roles or OAuth 2.0. Define the external function to use the API integration, providing the necessary parameters for authentication. Configure network policies and secrets (using Snowflake secrets) to secure the connection. Ensure your AWS Lambda function validates the incoming request's identity.
E) Create an API integration object in Snowflake that stores the AWS Lambda function's URL and credentials (API key) directly within the integration. Grant the necessary permissions to the application's roles to use the API integration. Define the external function to call the Lambda function URL directly, referencing the API key from the integration object.

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