Snowflake SnowPro Core Certification NAS-C01

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Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen

1. You are developing a Snowflake Native Application using Scala for a financial institution. The application processes sensitive transaction dat a. During consumer-side testing, the consumer reports intermittent 'java.lang.NullPointerException' errors. You suspect the issue lies within your UDE How can you effectively trace and debug this issue, considering data privacy requirements and without directly exposing sensitive consumer data in your logs?

A) Utilize 'System.out.println' statements within the Scala UDF to print debug messages directly to the query result. The consumer can view these messages to identify the source of the error, with the provider having no visibility.
B) Use Snowflake's event table to capture all exceptions, filtering for the UDF name. Redact potentially sensitive fields in the logs after extraction using a Python script executed on the provider side.
C) Implement a custom error handling mechanism in Scala that catches 'NullPointerException', logs a generic error message with a unique error code to the event table, and then re-throws a more descriptive exception to the consumer. The consumer can then report the error code to the provider for further investigation. The provider can analyze the code, without actual consumer sensitive data.
D) Implement structured logging within the Scala UDF using SLF4J and Logback. Include contextual information (e.g., transaction IDs, timestamps) at various stages of the UDF execution. Use Snowflake's masking policies on the event table to protect sensitive data during logging. This is the best method as it's the more granular and effective
E) Rely solely on Snowflake's query history to identify failing queries. Analyze the input data and execution plan to infer the cause of the NullPointerException.

2. You are developing a Snowflake Native Application that provides data enrichment services. You want to monetize your application through the Snowflake Marketplace using a custom, usage-based pricing model. You need to track the number of API calls made by each consumer account and bill them accordingly. Which of the following steps are necessary to implement this in your application and listing configurations?

A) Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a STANDARD listing type and set a base price.
B) Implement a metering function using stored procedures, record API usage in a dedicated table within your application's container and use 'CREATE NOTIFICATION INTEGRATION' to send billing data to an external system for invoice generation.
C) Implement custom code to track API calls in a table within the application package and use a scheduled task to generate billing reports manually. This report is then shared outside of Snowflake Marketplace.
D) Use Snowflake's data sharing capabilities to share a billing table with consumer accounts, tracking API calls externally and managing billing outside of the Snowflake Marketplace.
E) Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a CONSUMPTION listing type and define metering events based on API calls made. Set the cost per metering event.

3. You have developed a Snowflake Native Application that utilizes a Python UDF to perform sentiment analysis on customer reviews. During consumer testing, you notice that the application is throwing 'ModuleNotFoundError: No module named 'transformers" errors on the consumer's account, even though the 'transformers' library is included in your application's packages directory. Select the two options that best address this issue:

A) Verify that the application role has sufficient privileges (USAGE) on the 'transformers' library and that the consumer account's security policies allow access to external packages. The consumer account must explicitly allow the usage of external packages in their account-level security settings.
B) In the UDF code, explicitly add the application's packages directory to the Python path using 'sys.path.append('/app/packages')' before importing the 'transformers' library. Also, bundle the 'transformers' package along with its dependencies into a single zip file and upload it to an internal stage.
C) Confirm that the application is built using a compatible Python version (e.g., 3.8) with the consumer's environment, and that the 'PYTHON_VERSION' property in the 'manifest.ymr file is set accordingly. Additionally, regenerate the package directory with all dependencies using 'conda' instead of 'pip'.
D) Check if the consumer account has any conflicting Python packages installed that might be shadowing the 'transformers library. Use the 'SHOW PACKAGES' command in Snowflake to list installed packages and their versions on the consumer account.
E) Ensure the 'transformers' library is explicitly listed in the 'manifest.ymr file under the 'packages' section and that the application's setup script correctly installs the package using 'pip install transformers.

4. You've installed a Snowflake Native Application that provides advanced data analytics. The application requires a consumer-defined function (UDF), 'MASK SENSITIVE DATA, to be created in their account and used by the application. The application's setup script includes logic to check for the UDF's existence, but you want to ensure the application gracefully handles the case where the consumer has not yet created the UDF. Which of the following strategies can you implement to improve the application's resilience and provide a better user experience in this scenario? Select all that apply.

A) Implement error handling within the application's code to catch the 'SQL compilation error: UDF does not exists exception. Provide a user-friendly error message and instructions on how to create the UDF.
B) Within the application's SQL code, use the 'TRY FUNCTION' function to call 'MASK SENSITIVE DATA'. If the UDF does not exist, 'TRY FUNCTION' will return 'NULL' instead of raising an error.
C) In the application's setup script, create a placeholder UDF with the same name and signature as 'MASK SENSITIVE DATA' that returns 'NULL'. The application logic can then handle 'NULL' values appropriately until the consumer provides the actual UDF.
D) Require the consumer to create the UDF before installing the application. The application setup script should fail if the UDF is not found, preventing installation.
E) Dynamically generate the application code using a stored procedure, only including the parts of the code that rely on if the function exists. Use 'SYSTEM$GET PRIVILEGES()' to check existence.

5. You are managing a Snowflake Native Application that allows consumers to configure certain aspects of its behavior through a dedicated configuration table. The application logic relies on specific values within this table to function correctly. During a new version deployment, you need to ensure that existing consumer configurations are migrated to the new version's configuration table structure without disrupting the application's availability. Which of the following strategies would you use to perform a zero-downtime configuration migration?

A) Deploy the new application version with a feature flag that disables the configuration table dependency. Run a script in the background to migrate the data to the new table and then flip the feature flag to enable the new configuration.
B) Perform an in-place alteration of the existing configuration table to match the new schema. This might involve adding, dropping, or renaming columns. Update the application code to reflect these changes. If you need to rename tables, then use SALTER TABLE ... RENAME to minimize downtime.
C) Drop the existing configuration table and recreate it with the new schema during the application upgrade process. The application will automatically adapt to the new schema once the upgrade is complete.
D) Rename the existing configuration table to a backup name. Create a new configuration table with the new schema. The application will start using the new empty table, and consumers can manually reconfigure their settings.
E) Implement a parallel migration strategy. Create a new configuration table with the new schema alongside the existing one. Update the application code to read from both tables concurrently, prioritizing the new table if values are present. Schedule a background job to migrate data from the old table to the new table. Once the migration is complete and verified, switch the application to solely read from the new table and eventually drop the old one.

Fragen und Antworten: