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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

Question 1

A Snowflake Native Application provider is troubleshooting an issue reported by a consumer during testing. The application uses a UDF to process dat a. The error message suggests the UDF is failing due to insufficient permissions to access a secure view owned by the application. The UDF and view are defined as follows:

Which of the following steps are MOST likely to resolve the permission issue without compromising security principles?

A. Grant the ' SELECT' privilege directly on 'app_db.app_schema.internal_table' to the 'app_role' .
B. No further action is required. Secure views and UDFs automatically inherit the necessary privileges within the application container.
C. Grant the ' SELECT privilege on 'app_db.app_schema.secure_view' to the consumer's account.
D. Grant the 'IMPORTED PRIVILEGES privilege on the application database to the application's 'app_role' .
E. Ensure the UDF is declared as 'SECURE and the view is also declared as 'SECURES. No explicit grants are required.

Question 2

A financial services company is developing a Snowflake Native App. It needs to securely access external market data via an API and store the processed results in a consumer-provided table. Considering security best practices and the Snowflake Native App Framework limitations, which of the following approaches represents the MOST secure and recommended implementation for this scenario?

A. Utilize a Java UDF with the 'network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer- provided table by using the application role with INSERT privilege granted by consumer.
B. Employ a Snowflake external function, configured with a service account, which invokes an API integration stored in the provider account. The external function returns the data, which is then inserted into a consumer-owned table using a stored procedure and INSERT statements, where the application role has been granted the necessary INSERT privilege.
C. Use a Snowflake external function with an API integration that passes the API key as a parameter. Store the processed data in a consumer-provided table using dynamic SQL.
D. Utilize a Python UDF with the 'external network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer-provided table by using the application role. API key is stored in snowflake secret.
E. Use a Snowflake external function with an API integration, configured with a service account that has the necessary permissions to access the API. Store the processed data in a consumer-provided table using stored procedures and INSERT statements using the application role.

Question 3

You've installed a Snowflake Native Application in your consumer account. You are trying to establish observability and telemetry to monitor its performance and identify potential issues. However, you notice that you only have limited visibility into the application's internal operations. Which actions should you take to enhance observability, assuming the provider has implemented appropriate mechanisms?

A. Examine the APPLICATION USAGE view in the SNOWFLAKE database to track resource consumption and query performance of the application's components.
B. Enable detailed logging in your consumer account to capture all SQL statements executed by the application, then analyze these logs.
C. Subscribe to events shared by the application provider through Snowflake's event sharing mechanism, if the provider has enabled it. Leverage shared views exposing specific metrics.
D. Use Snowflake's Query Profile to analyze the execution plans of queries initiated by the application.
E. Request the application provider to grant you direct access to the application's internal logs and system tables.

Question 4

You are packaging a Snowflake Native Application that utilizes an external function to enrich dat a. This external function requires access to an API endpoint. You've created an API integration in the consumer's account to manage access. How should you grant the necessary privileges to your application to utilize this API integration?

A. No explicit privilege granting is required. Snowflake automatically grants access to API integrations to applications within the same account.
B. Grant the EXECUTE privilege on the external function to the application role. The external function inherits the API integration's privileges.
C. Create a share from your provider account containing the API integration and import it into the consumer's account.
D. Grant the OWNERSHIP privilege on the API integration to the application package using Snowsight.
E. Grant the USAGE privilege on the API integration to the application role using the command 'GRANT USAGE ON INTEGRATION TO APPLICATION ROLE within the application's setup script.

Question 5

A Snowflake Native Application provider has encountered performance issues with a Scala-based UDF, 'aggregate data' , used within their application. Consumers report slow execution times when processing large datasets. The provider has identified that the UDF involves complex calculations and data transformations. Which optimization techniques can be applied to improve the performance of the 'aggregate_data' UDF within the constraints of the Snowflake Native Application environment?

A. Utilize Snowflake's vectorized UDF feature (if supported for Scala UDFs) to process data in batches, reducing the overhead of calling the UDF for each individual row.
B. Optimize the UDF's data structures and algorithms to reduce memory usage and improve processing efficiency. Consider using techniques such as caching frequently accessed data within the UDF.
C. Move the entire UDF logic to an external cloud function (e.g., AWS Lambda, Azure Function) and invoke it from Snowflake using a remote service. This offloads the computation to a more powerful environment.
D. Replace the Scala UDF with a Snowflake stored procedure written in SQL. Stored procedures generally offer better performance for data-intensive operations.
E. Leverage Scala's parallel collections (e.g., 'par') to distribute the workload across multiple cores during data processing. Ensure that the UDF is designed to be thread-safe.

Solutions: