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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Logging and event tables 2. Tracing and troubleshooting workflows
Native Application Design and Creation	35%	- Application development workflow 1. Building and versioning applications 2. Application roles and privileges
Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q264-Q269):

NEW QUESTION # 264
A Snowflake Native App developer is creating an application that accesses a secured table 'CUSTOMER DATA' within the provider's account. The developer wants to grant the consumer read-only access to this table through the application, but only after the application is installed and the consumer has accepted the terms and conditions. Which of the following steps are necessary to achieve this goal? (Choose two)

A. Create a share from the provider account containing the 'CUSTOMER_DATA table and grant the consumer account access to this share using the Snowsight UI, specifically setting the ' READ ONLY' privilege on the table after the application is installed.
B. Define a manifest file within the application package that specifies the 'CUSTOMER DATA' table as a resource and declares the 'SELECT privilege required by the application. Snowflake automatically grants this privilege to the application's default role upon installation.
C. Create an outbound share within the application that shares the 'CUSTOMER DATA' table with a specific application role. Configure an activation hook that runs post-installation to grant the 'SELECT' privilege on the table to the application role using the 'GRANT' command.
D. The provider creates a versioned schema in the listing and shares it with the consumer account. Once the consumer accepts the terms and conditions, the provider executes 'GRANT SELECT ON TABLE CUSTOMER_DATA TO APPLICATION ROLE app_role' within the consumer account using a secure UDF.
E. Define a stored procedure within the application package that, upon execution in the consumer account (post-installation), executes a 'GRANT SELECT ON TABLE CUSTOMER_DATA TO APPLICATION ROLE app_role' statement. The application itself doesn't directly share the data; the procedure manages the access.

Answer: C,E

Explanation:
Option B is correct because it leverages a stored procedure executed in the consumer account to grant the required privilege to the application role. This allows for conditional granting post-installation. Option D is also correct because it uses an outbound share and activation hook, which is a standard mechanism for granting access to objects in the provider account to application roles in the consumer account after the application is installed.

NEW QUESTION # 265
Consider the following Snowflake Native Application design scenario: You are building a data enrichment application. This application requires a consumer to grant usage on a specific database in their account. The application will then use a user-defined function (UDF) to access and enrich the dat a. To minimize the risk of data exposure and adhere to best practices, which of the following approaches should you take when designing the UDF?

A. Create the UDF with the EXTERNAL_ACCESS' keyword to explicitly allow it to access data outside of the application package.
B. Create the UDF with the 'VOLATILE' keyword to ensure it only runs when explicitly called, limiting the potential for unintended data access.
C. Create the UDF with the 'SECURE keyword and implement granular access control within the UDF code, restricting access based on the application role.
D. Create the UDF without any special keywords, relying solely on the consumer's permissions to control data access.
E. Create the UDF with the 'IMMUTABLE keyword to prevent any data modification within the consumer's database.

Answer: C

Explanation:
The 'SECURE keyword (Option B) is crucial for protecting data within a Snowflake Native Application. By creating a secure UDF, you can ensure that the UDF's code is protected from unauthorized inspection and modification. Furthermore, implementing granular access control within the UDF allows you to restrict data access based on the application's role, minimizing the risk of data exposure and adhering to best practices. 'VOLATILE, 'IMMUTABLE , and ' EXTERNAL_ACCESS' are irrelevant in this context. Not using any special keyword will not protect your data.

NEW QUESTION # 266
A provider is developing a Snowflake Native Application that shares event data with consumers. The provider wants to ensure that specific columns in the event data are obfuscated for certain consumer accounts, while remaining visible to others. Which of the following approaches is the MOST secure and maintainable way to achieve this?

A. Create a separate view for each consumer account with the sensitive columns masked using a CASE statement based on the CURRENT_ACCOUNT() function.
B. Implement conditional logic within the event table function to obfuscate data based on the consumer's APP_INSTANCE_ID().
C. Implement dynamic data masking policies on the sensitive columns using the CURRENT_ACCOUNT() function to determine which accounts receive obfuscated data.
D. Data masking is not supported in Native Apps. The provider must rely on consumer-side masking implementations.
E. Use a stored procedure to query the event data, applying obfuscation logic based on the consumer's APP INSTANCE ID() before returning the results.

Answer: C

Explanation:
B is the correct answer. Dynamic data masking policies offer a scalable and maintainable solution. By using the or function within the masking policy's expression, you can selectively mask columns based on the consumer account. This eliminates the need for creating separate views or complex stored procedures. A is not scalable and difficult to maintain. C & D are more complex than B and potentially less secure. E is wrong. Data masking is supported.

NEW QUESTION # 267
A Snowflake Native Application provider is deploying their application in multiple regions (AWS US-East-l and AWS EU-Central-l). The application relies on external functions that interact with a third-party API. The provider wants to optimize for both latency and cost while ensuring high availability. Which of the following strategies represents the MOST effective approach for configuring and deploying these external functions to meet these requirements? Select two.

A. Host the external function code directly within the Snowflake application package and leverage Snowflake's serverless compute to execute the function logic without relying on external APIs.
B. Configure a global load balancer in front of the third-party API endpoints and point all external functions to the load balancer's endpoint. This allows the load balancer to route requests to the closest available API endpoint.
C. Create a single external function that uses a conditional statement to route requests to different API endpoints based on the Snowflake region where the function is being called. This approach reduces management overhead.
D. Deploy separate external functions in each region, pointing to API endpoints hosted in the respective regions. Configure each external function with the same security integration to simplify access management.
E. Utilize Snowflake's cross-region replication feature to automatically replicate the external functions between regions. This ensures that the functions are always available in both regions.

Answer: B,D

Explanation:
Options B and D are the most effective. Deploying separate external functions in each region (B) allows for regional optimization, reducing latency by calling API endpoints hosted in the same region. Configuring the same security integration simplifies access management. Using a global load balancer (D) adds another layer of resilience and allows for dynamic routing to the closest available API endpoint, improving availability and potentially reducing costs. Option A could introduce latency due to conditional logic and potentially suboptimal routing. Option C is not applicable as external functions are not replicated by Snowflake replication. E cannot be hosted directly to the Snowflake application package

NEW QUESTION # 268
A Snowflake Native App provider is using a Snowpark Python UDF to process data before writing it to an event table for consumption by consumer applications. The UDF fails intermittently with a 'Java heap space' error. Which of the following strategies are MOST effective in mitigating this error?

A. Increase the warehouse size used by the consumer application instance, as this controls the memory available to the UDF during event processing.
B. Implement batch processing within the UDF to process data in smaller chunks, reducing the memory footprint at any given time.
C. Optimize the Python UDF code to use more memory-efficient data structures and algorithms, reducing overall memory consumption.
D. Switch to a Java UDF instead of a Python UDF, as Java UDFs inherently have better memory management in Snowflake.
E. Configure the event table function to use a larger warehouse size using the EXECUTE AS OWNER clause.

Answer: B,C

Explanation:
B and D are correct. B: Batch processing avoids loading the entire dataset into memory at once. D: Optimizing the code to be memory-efficient directly addresses the root cause. A is incorrect as warehouse size for the consumer application is not the controling factor for UDF event processing. C is incorrect because the warehouse size of the provider application instance controls UDF size, not consumer warehouse size. E is incorrect because switching the UDF language doesn't fundamentally solve the memory problem if the underlying code is still inefficient.

NEW QUESTION # 269
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