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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

Question 1

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. 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.
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. 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.

Question 2

You are developing a Snowflake Native Application that relies on external functions (UDFs) hosted outside of Snowflake. You need to ensure that these external functions are securely accessed and that you can track their usage. Which of the following steps are required to correctly configure and manage access to external functions in your application package?

A. Implement robust error handling and logging within the application code to capture any issues related to external function calls, including authentication errors, network connectivity problems, and data transformation failures.
B. Define the external functions in the application manifest, specifying the API integration object used for secure communication and authentication.
C. Grant the 'USAGE privilege on the API integration object to the application role that will be calling the external functions within the application package. This is done through the application setup script.
D. Create a network rule in the application package that whitelists the IP addresses or hostnames of the external function endpoints. Ensure that the application manifest includes the property set to 'true' and references the network rule.
E. No explicit configuration is required within the application package; external functions are automatically accessible once defined in the developer's Snowflake account.

Question 3

You are tasked with automating the installation of a Snowflake Native Application across multiple consumer accounts using the Snowflake Marketplace. The installation process must be idempotent (running the installation script multiple times should not cause errors or unexpected behavior). You have the following requirements: 1. Check if the application is already installed. 2. If not installed, install the application from the Marketplace. 3. Grant specific privileges on the installed application to a role within the consumer account. Which of the following Snowflake Scripting (SnowSQL) snippets BEST implements this idempotent installation process? Assume 'application name', 'application _ package', 'consumer role', and 'marketplace listing url' are pre-defined variables.

A.

B.

C.

D.

E.

Question 4

You are developing a Snowflake Native Application that requires fine-grained control over data access for its users. You plan to use Streamlit within the application and leverage the Permissions API to manage these privileges. Assume you have successfully established a connection to Snowflake within your Streamlit app. Which of the following code snippets accurately demonstrate how to grant the 'SELECT privilege on a table named 'APP DATA in the application's schema to a specific role, 'APP USER, using the Permissions API, and then verify if that privilege has been granted?

A.

B.

C.

D.

E.

Question 5

You are developing a Snowflake Native Application that leverages user-defined functions (UDFs) and stored procedures. During the security scanning process before listing on the Snowflake Marketplace, you encounter a 'Failed to Detect Secrets' error. After investigation, you determine that the error stems from hardcoded API keys within a Python UDF that are being used to interact with a third-party service. Which of the following strategies would be MOST effective and secure to resolve this issue and pass the security scan?

A. Remove the Python UDF entirely and rewrite the logic in SQL stored procedures. Store the API keys as environment variables within the stored procedure's definition.
B. Replace the hardcoded API keys with references to Snowflake secrets and grant the necessary privileges to the application role. Access the secrets within the UDF using the 'SYSTEM$GET SECRET function.
C. Encrypt the API keys within the Python UDF using a symmetric encryption algorithm and store the encryption key in a secure string within the application package.
D. Obfuscate the API keys within the Python UDF using a string manipulation technique. This will make it harder for unauthorized users to discover the keys.
E. Store the API keys in a separate, secured table within the application's data container and access them dynamically within the Python UDF using SQL queries.

Solutions: