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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q325-Q330):

NEW QUESTION # 325
You are tasked with designing a Snowflake Native App that requires multiple roles with different levels of access to its functionalities. The app needs to define which roles can perform specific actions, such as viewing data, modifying data, or managing app settings. Which of the following methods are CORRECT ways to control role-based access within a Snowflake Native App? (Select all that apply)

A. Defining roles within the setup script with specific privileges and instructing the consumer to grant their existing roles to these newly created roles.
B. Creating separate versions of the application for each role, with each version containing only the functionalities that the role is allowed to access.
C. Granting specific privileges to roles directly within the application's stored procedures and functions, checking the current role using and conditionally executing code based on the role.
D. Using the 'allowed_roleS section in the manifest file to restrict access to certain functionalities based on the consumer's roles. This ensures that only authorized roles can interact with those components.
E. Defining application roles within the provider account and mapping them to consumer roles during the installation process. These application roles can then be used for fine-grained access control.

Answer: C,E

Explanation:
Option A is correct because using within stored procedures and functions allows you to conditionally execute code based on the current role, providing fine-grained access control. Option D is also correct because defining application roles within the provider account and mapping them to consumer roles during installation allows for a structured and manageable approach to role-based access control within the app.

NEW QUESTION # 326
Consider the following Python code snippet used within a Streamlit application deployed as a Snowflake Native App:

A. The code will fail because the Snowflake Connector for Python requires explicit connection parameters to be defined even within a Native App context.
B. The code requires using the 'snowflake.snowpark' library instead of for optimized performance within native apps.
C. The code will execute successfully, assuming that Smy_table' exists, and the 'app_public' role has at least SELECT privilege on 'my_table' and USAGE privilege on the schema containing 'my_table' .
D. The code will execute without any privilege errors, assuming the necessary database and schema privileges are granted to the 'app_public' role.
E. The code will fail with a privilege error if the 'app_public' role does not have OWNERSHIP of the table 'my_table' .

Answer: C

Explanation:
The correct answer is D. When running within a Snowflake Native App, the Snowflake Connector for Python automatically uses the current session context, eliminating the need for explicit connection parameters. The code will execute successfully provided that the 'app_public' role has the appropriate privileges, which includes 'SELECT on 'my_table' and 'USAGE on the schema containing the table. Option A is partially correct, but option D provides more specific privilege requirements. Option B is incorrect because explicit connections aren't needed. Option C is incorrect because 'OWNERSHIP' isn't required, only 'SELECT. Option E is incorrect; using 'snowflake.snowpark' may offer performance benefits for data processing, but using "snowflake.connectofl is viable for simple queries.

NEW QUESTION # 327
You are developing a Snowflake Native App that allows consumers to enhance their existing customer data with enrichment data provided by your app. The app relies on secure data sharing. To minimize data duplication and maximize query performance within the consumer's account, which of the following approaches offers the MOST optimized and secure way to deliver the enrichment data?

A. Develop a Snowflake UDF (User-Defined Function) that, when called in the consumer account, retrieves the enrichment data from an external API endpoint (maintained in the provider account) and returns it.
B. Use Snowflake Data Marketplace listing to provide enrichment data.
C. Utilize Snowflake Secure Data Sharing to directly share the enrichment data tables from the provider account to the consumer account. The consumer can then create views on the shared tables or query them directly.
D. Create a secure view within the application package itself, which joins the application's enrichment data with consumer-provided data via an API integration. The consumer queries this secure view.
E. Create a staging table in the provider account, load the enrichment data into it, and grant the consumer account SELECT privileges on this staging table. The consumer then creates their own table and copies the data.

Answer: C

Explanation:
Option B (Utilize Snowflake Secure Data Sharing) is the most optimized and secure approach. Secure Data Sharing avoids data duplication, minimizes latency, and allows the consumer to directly access the enrichment data without needing to copy or move it. It leverages Snowflake's native sharing capabilities, ensuring security and governance. Option A involves data duplication. Option C introduces external API dependency and potential performance bottlenecks. Option D mixes consumer data with the application code, which is not optimal and less secure. Option E is suitable for data discoverability and monetization, not for application-specific, customized data enrichment.

NEW QUESTION # 328
You're developing a Snowflake Native App with a Streamlit I-Jl. The app needs to read configuration data from a file named within your application package. The file contains sensitive information, and you want to ensure it's only accessible by your application's code and not directly readable by the consumer. What steps would you take to accomplish this?

A. Store 'config.json' within the Streamlit code, and then encode and decode it to the original string when the user invokes the Streamlit application.
B. Store 'config.json' in an internal stage and grant the 'READ' privilege on the stage to the consumer's role.
C. Store 'config.json' in a table within your application's schema and grant the 'SELECT' privilege on the table to the consumer's role.
D. Store 'configjson' outside the application package and read it directly from an external stage at runtime.
E. Store 'config.json' within the application package and read it using Python code within a stored procedure. Grant appropriate privileges on the stored procedure, but not on the 'config.json' file or the internal stage.

Answer: E

Explanation:
The best approach is to store the 'config.json' file within the application package and access it using Python code within a stored procedure. By granting privileges only on the stored procedure and not on the 'config.json' file itself or the internal stage, you ensure that the consumer cannot directly read the configuration data. Option A exposes it directly to the consumer. Option C would need to be encrypted, which adds complexity. Option D means the configuration is outside your application package. Option E is simply obfuscation and not encryption and hence should be avoided.

NEW QUESTION # 329
You are designing a Snowflake Native Application that needs to store temporary data for processing, which should be cleaned up when the application is uninstalled from the consumer account. Which of the following options would be the MOST appropriate and secure way to manage this temporary data?

A. Create a table with a retention period in the application database using the APPLICATION role. Configure the retention period to be very short (e.g., 1 day).
B. Create a temporary stage and use it to persist data. Use a SQL statement in your uninstall script to remove the data from the stage when the application is uninstalled.
C. Create a temporary table in the application database using the APPLICATION role. The application is responsible for dropping the table when uninstalled.
D. Create a schema named 'temp' in the application database using the APPLICATION role. The application setup script will create temporary tables inside this schema. Use an uninstall script to drop the entire schema upon uninstall.
E. Create an external stage linked to cloud storage. Store temporary data in cloud storage and implement cleanup logic using an uninstall script.

Answer: D

Explanation:
Creating a dedicated schema for temporary tables and dropping the entire schema in the uninstall script is the most secure and reliable way to manage temporary data. Using the APPLICATION role ensures that only the application can access and manage these tables. This approach guarantees that all temporary data is cleaned up when the application is uninstalled, without relying on external mechanisms or application logic running after uninstall.

NEW QUESTION # 330
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Quiz NAS-C01 - High Hit-Rate SnowPro Specialty - Native Apps New Real Exam

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q325-Q330):

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