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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q121-Q126):
NEW QUESTION # 121
A Snowflake Native App developer is packaging their application and needs to define the necessary privileges within the application package's manifest file. The application requires 'SELECT' access to a view named 'PROVIDER VIEW' and 'USAGE' on the database 'PROVIDER DB'. Which of the following YAML snippets correctly defines these privileges in the manifest file? (Choose two)
- A.

- B.

- C.

- D.

- E.

Answer: B,C
Explanation:
Options A and C are functionally equivalent and the only two valid configurations. Snowflake manifest files use the 'resources' section to define the objects and their required privileges. Note that Snowflake resource types (like VIEW and DATABASE) are case-insensitive. Options B, D, and E do not conform to the expected manifest file structure for defining resources and their associated privileges in a Snowflake Native App. The actual syntax and keyword usages are crucial for correct interpretation by the Snowflake platform. The only difference between A and C is that it does not affect functionality but will use the best format.
NEW QUESTION # 122
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. Assume that all uploaded files are safe and trustworthy, and directly process them without any security checks.
- B. Allow user to execute scripts or upload executable file as part of CSV content
- C. Disable any logging or auditing of file upload activity to protect user privacy and avoid unnecessary data storage.
- D. Store the uploaded CSV files directly within a Snowflake table without any validation to ensure high performance and minimal overhead.
- E. 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.
Answer: E
Explanation:
Option A is the most secure approach. It emphasizes both client-side and server-side validation to prevent malicious uploads. Storing files directly without validation (B) is highly insecure. Disabling logging (C) hinders auditing and incident response. Assuming files are safe (D) is a critical security flaw. Option E is very dangerous from security perscpective, it should not be allowed.
NEW QUESTION # 123
You are developing a Snowflake Native App that processes data in the consumer's account and presents the results in a dashboard. You need to ensure that the dashboard automatically updates when the underlying data changes. Which of the following approaches, or combination of approaches, would be MOST effective in achieving this real-time or near real-time data refresh for the dashboard?
Choose TWO.
- A. Use Snowflake Streams and Tasks to incrementally update the dashboard's underlying data based on changes in the source tables.
- B. Rely solely on the consumer's existing data pipelines to update the data used by the dashboard.
- C. Implement a serverless function using Snowflake's Snowpark Container Services to periodically query the consumer's data and update the dashboard within the Native App environment.
- D. Implement a mechanism where the consumer's application triggers a refresh of the dashboard's data through a stored procedure whenever they detect changes in their data.
- E. Schedule a Snowflake Task within the application package to refresh the data used by the dashboard every minute.
Answer: A,D
Explanation:
Streams and Tasks are designed for incremental data processing and are well-suited for automatically updating data in response to changes. Allowing the customer to trigger an update is useful, but it doesn't provide auto update. A task can be used, however Streams and Tasks should be used. Depending on the application architecture Container Services might be used to keep the dashboards updated.
NEW QUESTION # 124
You are responsible for deploying a Snowflake Native Application that processes sensitive financial dat a. Your team is concerned about data leakage and unauthorized access. Which of the following security measures should you implement to mitigate these risks and comply with Snowflake Marketplace best practices? (Select THREE)
- A. Disable network policies on the application container to allow unrestricted access to external resources.
- B. Implement Role-Based Access Control (RBAC) within the application, granting only the necessary privileges to each role.
- C. Use Snowflake Secrets to securely store and manage any API keys or credentials required by the application.
- D. Implement Dynamic Data Masking on sensitive columns within the application's data container.
- E. Grant the APPLICATION ROLE access to all tables within the consumer's Snowflake account.
Answer: B,C,D
Explanation:
Dynamic Data Masking protects sensitive data from unauthorized users. Snowflake Secrets prevent hardcoding credentials in the application code. RBAC ensures that users only have the necessary privileges. Granting access to all tables (Option B) is a major security risk. Disabling network policies (Option D) increases the attack surface.
NEW QUESTION # 125
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 custom python module that checks if the user's role matches "DATA_ANALYST or 'ADMIN' and configure it for role based access control.
- B. 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.
- 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. 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.
- 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.
Answer: B,E
Explanation:
The MOST appropriate methods are C and D. Option C: Using a stored procedure with 'EXECUTE AS CALLER and role checks provides a robust and secure way to control data access. The stored procedure acts as a gatekeeper, ensuring that only authorized roles can retrieve the data. Option D: Implementing row-level security (RLS) adds an additional layer of security by filtering data at the database level based on the user's role. This ensures that even if a user were to bypass the Streamlit application's role checks, they would still only be able to see the data they are authorized to see. Option A is susceptible to tampering and does not enforce data-level security. Option B requires an added level of complexity with an extra custom role and is unnecessary. Option E does not secure at the database level.
NEW QUESTION # 126
......
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