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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

Question 1

You are developing a Snowflake Native App using Python that performs complex data transformations using UDFs and external functions. During consumer testing, you observe intermittent 'Remote service timed out' errors when calling the external function. The external function is hosted on AWS Lambd a. Which combination of the following actions would BEST address this issue, ensuring reliability without compromising security?

A. Implement retry logic in the Python code calling the external function with exponential backoff, and configure Snowflake to use a larger warehouse size to improve network bandwidth. Furthermore, check if AWS Lambda throttles the execution of requests.
B. Implement queue-based processing for external function calls using Snowflake streams and tasks, leverage a message queue service (e.g., SQS) to buffer requests, and ensure the Lambda function has sufficient concurrency and is not being throttled.
C. Migrate the external function to a Snowflake Java UDF to minimize network latency, and reduce the payload size sent to the external function. Verify that the AWS Lambda function and Snowflake instance are in the same region.
D. Increase the timeout setting for the external function in Snowflake, optimize the Lambda function code for faster execution, and monitor Lambda function metrics (e.g., duration, errors) using CloudWatch. Also, increase the memory allocation for the AWS Lambda function.
E. Cache the results of the external function calls in a Snowflake table to reduce the number of calls to the external service, and implement robust error handling and logging in both the Snowflake UDF and the Lambda function. Always return a value, even in case of error.

Question 2

You are tasked with developing a Snowflake Native App that leverages a Partner provided secret using an external function which will send the processed data to their system. You plan to store the OAuth information to be used by the external function in a secret object managed by Snowflake. Which of the following steps are NECESSARY to ensure secure and correct setup of this app? Select all the options that apply.

A. Grant the 'USAGE privilege on the API integration to the application role if the external function requires an API integration. GRANT USAGE ON API INTEGRATION TO APPLICATION ROLE
B. Grant the 'IMPORTED PRIVILEGES privilege on the database containing the Secret object to the application role. GRANT IMPORTED PRIVILEGES ON DATABASE TO APPLICATION ROLE '
C. Store the OAuth token directly within the external function's definition as a variable, ensuring it is encrypted using AES ENCRYPT before deployment.
D. Bypass storing the OAuth token in Snowflake and instead rely on passing it as a parameter to the external function from the consumer account, documented clearly for the consumer's security responsibilities.
E. Create a Secret object in Snowflake to store the OAuth token securely and reference it within the external function using 'SYSTEM$GET_SECRET function. Ensure proper access rights on the Secret object.

Question 3

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

Question 4

A data science team is developing a Snowflake Native Application that provides predictive analytics for financial institutions. The application requires access to usage data from consumer accounts, but only aggregated and anonymized data should be exposed. As the application provider, you need to grant the necessary privileges while adhering to the principle of least privilege. Which combination of global privileges and application logic will achieve this?

A. Grant the IMPORTED PRIVILEGES global privilege on the account and rely on data sharing agreements to control access to the aggregated and anonymized data.
B. Create a custom role with the MONITOR USAGE global privilege, grant this role to the application, and use secure views within the application to expose only the aggregated and anonymized data.
C. Grant the READ global privilege on the account metadata and use Snowflake's masking policies within the application to anonymize sensitive data.
D. Grant the ACCOUNTADMIN role to the application and rely on the application code to filter and anonymize the data.
E. Grant the USAGE global privilege on the account and implement stored procedures within the application that perform the aggregation and anonymizatiom

Question 5

You are developing a Snowflake Native App that will be listed on the Snowflake Marketplace. The application requires a specific version of a Python library that may conflict with other libraries used by consumers. How can you ensure that your application uses the correct library version without causing conflicts in the consumer's environment?

A. Bundle the required Python library with your application package and utilize Anaconda packages support to manage dependencies, ensuring isolation from the consumer's environment.
B. Package all application logic into a single SQL UDF to avoid Python dependency issues entirely.
C. Modify the consumer's 'PYTHON PATH' environment variable upon installation to include the location of your application's Python libraries.
D. Rely on Snowflake's automatic dependency resolution to identify and install the correct version of the Python library in the consumer's environment.
E. Instruct consumers to manually install the required Python library version in their Snowflake environment before installing your app.

Solutions: