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| Section | Weight | Objectives |
|---|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Snowflake Native Applications Design and Creation | 35% | - Create and manage billing events and cost monitoring techniques
- 1. Formulate Snowflake native application workflows and procedures
- Apply Snowflake best practices while building native application workloads
- 1. Design scalable applications
- 2. Build, distribute, and monetize apps in Snowflake
|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Account security and access management
- 2. Data sharing and protection mechanisms
- 3. Cloud-based computing and storage concepts
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use data sharing for app interoperability
- 2. Use Snowflake's marketplace
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q35-Q40):
NEW QUESTION # 35
A Native App provider has created an application package and wants to control the versions of the application available to different consumers. They need to ensure that a specific consumer account, 'CUSTOMER R, only has access to version '1.0' of the application. Which of the following steps are necessary to achieve this?
- A. When creating the authorization grant for for the APPLICATION ROLE, specify VERSION = '1.01.
- B. No specific steps are required. By default, consumers will automatically receive the latest version of the application.
- C. The provider must first create a new version of the application package containing only version 1 .C , and then create an authorization grant for the role to CUSTOMER A that includes version '1.0'
- D. Specify the version '1.0' when creating the share object for 'CUSTOMER_A'.
- E. Create a new application package specifically for 'CUSTOMER A' and only include version '1.0' in that package.
Answer: A
Explanation:
The correct approach is to specify the VERSION parameter within the CREATE AUTHORIZATION GRANT statement. This allows the provider to control which version of the application a specific consumer is authorized to use. Creating separate packages or shares is not the intended mechanism for version control within the Native App Framework. It's important to grant authorization to application roles.
NEW QUESTION # 36
You are developing a Snowflake Native Application and need to implement robust logging for troubleshooting purposes. You want to capture detailed information about function calls, including input parameters and return values. Which of the following approaches offers the MOST comprehensive and secure solution for logging within a Snowflake Native Application, considering the limitations imposed by the Snowflake environment?
- A. Using ' SYSTEM$LOG' with trace level logging and store the logs into internal stage, accessible only by the application's service user.
- B. Writing log messages to an external stage (e.g., AWS S3, Azure Blob Storage) that is accessible to both the provider and consumer accounts.
- C. Using 'SYSTEM$LOG' with debug level logging and capturing logs in a secure internal stage, managed by the provider, ensuring data privacy and limited consumer access.
- D. Leveraging Snowflake's event tables and configuring the application to emit custom events, then creating views on those event tables within the consumer's account.
- E. Employing 'EXECUTE IMMEDIATE to write log messages directly to a dedicated logging table within the consumer's account.
Answer: C
Explanation:
Option E is the most secure and comprehensive. 'SYSTEM$LOG' allows for structured logging. An internal stage ensures that the consumer does not have direct access to sensitive log data. The provider maintains control, addressing security concerns. Options A and C are less secure, as they might expose sensitive application data. Option D is generally discouraged for sensitive information due to compliance concems, and Option B is problematic because 'EXECUTE IMMEDIATE' inside an application package will be blocked.
NEW QUESTION # 37
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. 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.
- B. 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.
- C. 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.
- D. 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' .
- E. 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.
Answer: E
Explanation:
Using Snowflake's masking policies and secure views is the most secure and efficient method. It centralizes RLS within Snowflake, leveraging its security features. Option A is vulnerable to SQL injection if 'st.session_state.user.username' is not properly sanitized. Option B is better, but masking policies provide more granular control and data obfuscation. Option C pushes security logic to the application layer, which is less secure. Option E adds unnecessary complexity and overhead.
NEW QUESTION # 38
A Snowflake Native App provider wants to grant a consumer access to a secure view within their application. The provider's application package is named and the secure view is named 'sensitive_data_view'. The consumer's account identifier is 'XYZ12345'. Which of the following is the MOST secure and appropriate method to grant this access using Snowflake's Native App Framework?
- A. Create a share and grant SELECT on sensitive_data_view to the share, then grant usage on the share to account XYZI 2345;
- B. Grant SELECT on sensitive data view to account XYZ12345;
- C. Grant USAGE on database containing sensitive_data_view to account XYZI 2345;
- D. Grant imported privileges on my_app_package to share with account XYZI 2345;
- E. Create a role within the application package, grant SELECT on sensitive_data_view to the role, and create an authorization grant to account XYZ12345 for that role.
Answer: E
Explanation:
The most secure approach is to create a role within the application package specifically for accessing the secure view. By using an authorization grant, you explicitly control which consumer accounts can assume this role and access the view. Granting privileges directly to accounts or using shares is less secure and more difficult to manage in the context of a Native App. IMPORTED PRIVILEGES apply at the package level and are needed for a consumer to access the application, but aren't granular enough for specific objects.
NEW QUESTION # 39
Consider the following SQL code snippet intended to be part of a Snowflake Native Application. This application aims to provide data quality checks. Identify potential security vulnerabilities and recommend secure coding practices to mitigate them. Assume the application uses user-supplied input for filtering the data.
- A. Sanitize input by escaping special characters using a regular expression, then concatenate the sanitized input directly into the SQL query.
- B. Enclose the entire SQL query in a 'TRY...CATCH' block to prevent errors from propagating and potentially revealing sensitive information.
- C. The code is safe because Snowflake automatically sanitizes all user input.
- D. Implement strict input validation, including data type checks and limiting the length and format of user-supplied input, before incorporating the input into the SQL query. Use Javascript functions like 'encodeURlComponent' .
- E. Use parameterized queries (prepared statements) or the 'SYSTEM$SQL INJECTION CHECK' function to prevent SQL injection vulnerabilities.
Answer: D,E
Explanation:
Option B and C are correct: Parameterized queries prevent SQL injection because the database treats the input as data, not as executable code. Strict input validation limits the possibility of malicious input being used to alter the SQL query's intent. Option A is incorrect since Snowflake does not automatically sanitize user input. Option D is beneficial for error handling but does not prevent SQL injection. Option E is risky, regular expressions are not guaranteed to catch all injection attempts.
NEW QUESTION # 40
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