Pass Guaranteed Snowflake - NAS-C01 - SnowPro Specialty - Native Apps–Reliable Exam Papers

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q304-Q309):

NEW QUESTION # 304
A Snowflake Native App provider wants to implement row-level security (RLS) in an event table to ensure that consumers only receive events pertaining to their specific organization, even if they have been granted USAGE on the event table function. How can this be achieved?

Answer: E

Explanation:
B is the most appropriate answer. Row access policies can leverage APP_INSTANCE_ID() within the Snowflake Native App environment to filter data based on the application instance, achieving the desired row-level security. A is incorrect because CURRENT_ACCOUNT() would not distinguish between different application instances within the same account. C is incorrect as it is more complex than using row access policy directly and more difficult to maintain. D is similar to B but less secure than the row access policy. E is incorrect, RLS can be enforced.


NEW QUESTION # 305
You're building a Streamlit application within a Snowflake Native App that uses the Permissions API (hypothetical) to control access to sensitive dat a. Your security team has mandated that any changes to data access privileges must be audited. How can you effectively log all privilege grant and revoke operations performed via the Permissions API within your Streamlit application running inside Snowflake, assuming you are given the hypothetical 'PermissionsClient' and methods as below?

Answer: D

Explanation:
Option A is the most comprehensive approach. It provides the most flexibility and control. By implementing a custom logging function, you can capture the specific details of each API call (including parameters), handle exceptions, and store the audit logs in a dedicated table within Snowflake. This table can then be easily queried, reported on, or integrated with external SIEM (Security Information and Event Management) tools for further analysis and alerting. Option B could be part of the solution, but filtering the QUERY_HISTORY table may not capture all details, especially if using stored procedures. It requires parsing SQL text, which can be brittle. Option C could work for some audit events, but you'd still need to create and manage a process to send these events to an audit log. Option D has limited granularity and security. Relying on Snowflake's native logs provides little control. Option E is incorrect; the hypothetical Permissions API doesn't automatically log actions to a user-accessible system table.


NEW QUESTION # 306
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?

Answer: A

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 # 307
You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:

Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?

Answer: D

Explanation:
Option D is correct. The 'CURRENT ROLE()' function returns the primary role of the user, not necessarily the active 'APPLICATION_ROLE. To accurately determine the active , you must use The other options are not relevant to identifying the active application role. Calling SNOWFLAKE.PLATFORM INFO.GET APPLICATION ROLE() may provide some information, but it is preferable to call CURRENT_APPLICATION_ROLE().


NEW QUESTION # 308
You're tasked with designing a Snowflake Native Application that leverages Snowpark Container Services (SPCS). The application's backend service, 'my service' , requires several environment variables to function correctly (e.g., API keys, database connection strings). These variables must be securely managed and accessible within the containen You've already created the compute pool and service. Which of the following approaches represent the BEST practices for securely injecting these environment variables into in a way that aligns with Snowflake's recommended security model?

Answer: D

Explanation:
Using Snowflake's Secrets feature is the most secure and recommended approach. Secrets are encrypted and managed within Snowflake, preventing them from being exposed in build logs or configuration files. Referencing them in the 'service.yaml' allows for secure injection into the container's environment. Hardcoding secrets, passing them as plain text arguments, or storing them in publicly accessible storage are all highly insecure practices. While external functions could be used to retrieve secrets, they add unnecessary complexity and potential latency compared to the native Secrets feature.


NEW QUESTION # 309
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