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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q238-Q243):

NEW QUESTION # 238
You are developing a subscription-based Snowflake Native Application that offers tiered pricing (Basic, Premium, Enterprise) based on resource consumption (e.g., compute hours, data storage). Consumers select their desired tier during the subscription process. Your application needs to dynamically adjust resource limits based on the selected tier. Which combination of the following actions should you take to correctly implement this?

A. Use 'ALTER WAREHOUSE commands within the application to dynamically adjust warehouse sizes based on the selected tier, after retrieving the selected tier information via the application's configuration metadata.
B. Leverage Snowflake's data governance features, creating row access policies for each tier and assigning them based on the consumer's subscription status
C. Create separate resource monitors for each tier and associate the consumer's account with the appropriate resource monitor based on their selected tier during application installation.
D. Implement role-based access control (RBAC) using different roles for each tier, granting each role appropriate privileges for data access and compute resources. Assign users to roles based on their subscription tier.
E. Store tier-specific resource limits (e.g., compute hours, data storage limits) in a configuration table within the application. Implement stored procedures that enforce these limits during runtime using custom logic.

Answer: A,E

Explanation:
The correct answers are A and D. Option A: Adjusting warehouse sizes dynamically with 'ALTER WAREHOUSE allows you to provide different compute resources based on the tier. Option D: Storing tier-specific resource limits in a configuration table and enforcing them in stored procedures allows for granular control over resource consumption. Option B is not a suitable solution for controlling resources within an application container. Resource monitors are more suited for organization-level control. Option C (RBAC) controls data access but doesn't inherently limit resource consumption. Option E is focused on row-level security and not relevant for governing overall resource limits.

NEW QUESTION # 239
You're developing a Snowflake Native App that includes a function, , which retrieves sensitive customer dat a. You want to ensure that this data is only accessible by authorized roles within the consumer's account, even after the application is installed. Which of the following strategies are appropriate for securing the application's data and function access? (Choose two)

A. Implement a masking policy on the underlying customer data table that restricts access based on the current role.
B. Rely solely on the consumer's account administrator to manage access to the function and data after installation.
C. Use a secure UDF to encapsulate the data retrieval logic, preventing direct access to the underlying tables.
D. Grant the 'EXECUTE privilege on the function to specific, consumer-defined roles within the consumer's account via the provider's setup script.
E. Grant the 'EXECUTE privilege on the function to the 'application role'.

Answer: A,D

Explanation:
Implementing a masking policy (Option A) directly on the underlying data table ensures that data is masked or restricted based on the user's role, regardless of how the data is accessed. Granting 'EXECUTE to consumer-defined roles (Option C) allows the provider to explicitly control which roles in the consumer's account have access to the function. Option B is incorrect as giving Execute permission to application role won't restrict access within consumer account. Option D can enhance security, it requires role base access control to be truly useful as the UDF will still need explicit role definitions of user access. Option E is insufficient; the provider needs to actively participate in securing the data through mechanisms like masking policies and role-based access control via grants in the setup script.

NEW QUESTION # 240
You are developing a Snowflake Native App that requires accessing sensitive user data within the consumer's account. To ensure data privacy and security, you need to implement appropriate access controls. Which of the following approaches is the MOST secure and recommended way to grant your app access to this data, assuming the data is stored in a table named 'user_data' ?

A. Granting 'SELECT privilege directly on the 'user_data' table to the application role provided by Snowflake Native App Framework.
B. Granting 'USAGE privilege on the 'user_data' table directly to the application role provided by Snowflake Native App Framework.
C. Using a stored procedure with 'EXECUTE AS CALLER that accesses the 'user_data' table. Grant 'EXECUTE privilege on the stored procedure to the application role.
D. Defining a secure view that filters the table based on the application role and granting 'SELECT privilege on the secure view to the application role provided by Snowflake Native App Framework.
E. Creating a custom role in the consumer account with 'SELECT privilege on the 'user_data' table and granting that role to the application.

Answer: D

Explanation:
The most secure approach is to use a secure view. This allows you to control which rows and columns the application can access. Granting 'SELECT directly to the application role is generally discouraged as it exposes the entire table. Using 'EXECUTE AS CALLER has security implications and might not be desirable. Creating custom roles in the consumer account adds complexity to the application deployment.

NEW QUESTION # 241
You are developing a Snowflake Native Application that requires secure access to external services for data enrichment. You choose to implement an External Function with API Integration. Which of the following security best practices are MOST important to implement when configuring the API Integration and the External Function to minimize security risks?

A. Grant usage on the API integration to PUBLIC role to allow all users to invoke the external function.
B. Disable network policies on the API Integration to avoid accidental blocking of traffic.
C. Store any sensitive credentials required by the external service directly in the External Function's code body for easy access.
D. Configure 'AWS IAM ROLE ARNS or similar parameters (depending on cloud provider) to grant Snowflake the least privilege access to the specific resources on the external service required by the function.
E. Use the parameter in the API Integration to restrict access to only the trusted IP addresses of the external service.

Answer: D,E

Explanation:
Options B and D are correct. Using restricts the allowed source IPs for connection to the External Function, reducing the attack surface. Using SAWS IAM ROLE ARN' (or equivalent) with the principle of least privilege ensures that Snowflake only has the necessary permissions on the external service, minimizing the potential impact of a compromised function. Option A is incorrect because granting usage to PUBLIC is a security risk. Option C is incorrect because storing credentials directly in code is a bad practice. Option E is incorrect because network policies should be in place for security. The other options either create a broad attack surface or directly expose sensitive information.

NEW QUESTION # 242
A Native App provider has released a new version of their application. After installation, some consumers report encountering 'SQL compilation errors' when using certain features that rely on Java UDFs. The provider has thoroughly tested the application and cannot reproduce the error in their development environment. What are the MOST LIKELY causes of this issue and how can the provider systematically troubleshoot and resolve it? (Select TWO)

A. The consumer's Snowflake account has insufficient compute resources to execute the Java UDFs. The provider should instruct the consumer to upgrade their virtual warehouse size.
B. The Java UDFs are using external libraries that are not compatible with the consumer's Snowflake environment or are missing entirely. The provider should explicitly declare all dependencies in the application manifest and ensure they are properly packaged and deployed.
C. Consumer-side firewall rules are blocking access to external resources used by the Java UDF. The provider should thoroughly document the necessary network configurations for consumers.
D. The provider's development environment is using a newer version of the Snowflake Java runtime than the consumer's environment. The provider should downgrade their development environment to match the oldest supported version and re-test the application.
E. The Java UDFs are encountering data type mismatches due to differences in regional settings or data formats between the provider's and consumer's environments. The provider should enforce strict data validation and type conversion within the UDFs.

Answer: B,E

Explanation:
Options A and C are the most likely causes. Missing or incompatible Java dependencies (Option A) are a common source of UDF errors in Native Apps. Data type mismatches (Option C) due to regional settings can also lead to SQL compilation errors if the UDFs are not handling them correctly. Option B is less likely, SQL compilation errors indicate problems during the planning stage not the execution stage, so compute resource issues would typically manifest as runtime errors not compilation errors. Option D is technically possible but less probable. Option E is plausible, however, SQL compilation errors suggest the issue is at the compilation stage, implying incorrect types etc, rather than connectivity issues with external resources

NEW QUESTION # 243
......

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NAS-C01 Braindumps | Reliable NAS-C01 Test Sims

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q238-Q243):

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