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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. 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) 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.
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) 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.

2. 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) 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
B) 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.
C) 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.
D) 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.
E) 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.

3. You are developing a Snowflake Native Application package and want to publish it. You have created the necessary setup script, version, and patch. However, you encounter an error during the 'ALTER APPLICATION PACKAGE' command. The error message indicates an issue with the setup script. Identify the most probable cause of this error and the solution.

A) The setup script uses unqualified object names (e.g., TABLEI instead of MY DATABASE.MY SCHEMA.TABLEI). Fully qualify all object names in the setup script.
B) The setup script contains syntax errors. Run the setup script manually in a Snowflake worksheet to identify and correct the errors before creating the application package version.
C) The setup script attempts to create objects that already exist. Implement IF NOT EXISTS clauses in your CREATE statements to prevent errors.
D) All of the above.
E) The setup script lacks necessary privileges on the objects it attempts to create or modify. Grant appropriate privileges to the application package owner role.

4. A data science team within your organization is developing a Snowflake Native App that needs to access and process customer data stored in a Snowflake database. The app must only access data for customers residing in the 'USA' region. The team has created a custom role 'APP ROLE for the app to use. Which of the following is the MOST secure and efficient way to grant the app the necessary permissions to read the filtered data? Assume a secure view approach is preferred over direct table access.

A) Create a standard view (non-secure) that filters customer data to include only customers in the 'USA' region and grant the 'APP_ROLE the 'SELECT' privilege on this view.
B) Grant the SAPP ROLE the 'OWNERSHIP' privilege on the base customer data table and implement data filtering logic within the app itself.
C) Grant the 'APP_ROLE the 'SELECT privilege on the base customer data table and rely on row-level security policies defined on that table.
D) Create a secure view that filters customer data to include only customers in the 'USA' region and grant the SAPP ROLE the 'SELECT privilege on the secure view.
E) Grant the 'APP_ROLE the 'USAGE privilege on the database and schema containing the customer data table. Data filtering should still be handled by the app.

5. You are developing a Snowflake Native Application for a financial institution that needs to be deployed across multiple cloud providers (AWS, Azure, GCP) to minimize latency for their global customer base. The application relies on a secure and consistent method for accessing external services for real-time market dat a. Which of the following strategies would BEST ensure cross-cloud functionality and adherence to Snowflake Marketplace best practices for secure data access?

A) Package the external service client libraries directly within the Native Application and configure the application to dynamically discover the nearest available endpoint at runtime, storing credentials within a Snowflake secret.
B) Use Snowflake's Network Rules feature in conjunction with external functions that leverage API integration objects, storing the secret material necessary to authenticate with the external API. Leverage Snowflake's built-in cross-cloud replication capabilities to ensure data consistency.
C) Hardcode cloud-specific endpoint URLs for the external services in your application code, using conditional statements to determine the correct endpoint based on the Snowflake cloud region.
D) Use Snowflake's external functions with secure OAuth authentication to access the external services, leveraging Snowflake's built-in cross-cloud replication capabilities to ensure data consistency.
E) Create separate versions of the Native Application for each cloud provider, each with customized configurations for accessing the external services. Publish each version separately on the Snowflake Marketplace.

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