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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A data analytics company, 'Data Insights Pro', is developing a Snowflake Native App that visualizes customer behavior dat a. The app needs to read data from a secure customer table provided by the consumer and write aggregate reports back to a separate consumer- owned table for compliance. The customer table contains sensitive PII. Which of the following combinations of application privileges and app capabilities are NECESSARY and SUFFICIENT to achieve this securely, ensuring minimal access is granted?

A) APPLICATION role WITH OWNERSHIP on the REPORT_TABLE, APPLICATION role WITH SELECT privilege on the CUSTOMER_TABLE through a SECURE VIEW, and the 'network access' capability.
B) APPLICATION role WITH OWNERSHIP on the REPORT TABLE, APPLICATION role WITH SELECT privilege on the CUSTOMER TABLE, and the 'external network access' capability.
C) APPLICATION role WITH INSERT privilege on the REPORT_TABLE, APPLICATION role WITH SELECT privilege on the CUSTOMER_TABLE through a SECURE VIEW, and the 'external network access' capability.
D) APPLICATION role WITH INSERT privilege on the REPORT TABLE, APPLICATION role WITH SELECT privilege on the CUSTOMER TABLE through a SECURE VIEW, and no additional capabilities.
E) APPLICATION role WITH INSERT privilege on the REPORT TABLE, APPLICATION role WITH SELECT privilege on the CUSTOMER TABLE, and the 'network access' capability.

2. You are designing the 'privileges.sqr file for a Snowflake Native App. The app requires the ability to create and manage internal stages within the consumer's account to store temporary dat a. Which of the following SQL statements in 'privileges.sqr would correctly grant the necessary privileges to the application role (assuming the application role is named 'APP ROLE)?

A)

B)

C)

D)

E)

3. You're developing a Snowflake Native Application with a front-end UI built using Streamlit, deployed as a UDF. This UI allows users to upload CSV files for processing. To adhere to security best practices and prevent unacceptable code practices in a Native App, what considerations should you prioritize in your development and deployment process specifically related to handling user-uploaded files ?

A) Implement strict file size limits and file type validation on both the client-side (Streamlit UI) and server-side (Snowflake UDF) to prevent denial-of-service attacks and malicious file uploads. Sanitize and validate the contents of the uploaded CSV file, escaping special characters and preventing SQL injection vulnerabilities if data from the CSV is used in SQL queries.
B) Disable any logging or auditing of file upload activity to protect user privacy and avoid unnecessary data storage.
C) Assume that all uploaded files are safe and trustworthy, and directly process them without any security checks.
D) Store the uploaded CSV files directly within a Snowflake table without any validation to ensure high performance and minimal overhead.
E) Allow user to execute scripts or upload executable file as part of CSV content

4. You are designing a Snowflake Native App that relies on a specific version of a shared library. You want to ensure that your application continues to function correctly even if the provider of the shared library releases a new, incompatible version. How can you achieve version isolation for your application's dependencies within the Snowflake Native App Framework?

A) Implement a custom version compatibility check within your application code to gracefully handle potential incompatibilities with newer versions of the shared library.
B) Utilize Snowflake's 'API_INTEGRATION' to create endpoint where you have version control for the shared library.
C) Utilize the ' feature to directly link your application to a specific version of the shared library hosted in an external repository.
D) Package the required version of the shared library directly within your application's code bundle, ensuring it is isolated from any external updates.
E) Leverage Snowflake's dependency management system to specify a version range for the shared library in your application's setup script.

5. 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) 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.
B) 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.
C) 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.
D) 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.
E) 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.

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