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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that provides data enrichment services. You want to implement a phased rollout of a new version to your users. You have three distinct user groups: 'EarlyAdopters', 'StandardUsers', and 'CriticalUsers'. You need to use release directives to manage the upgrade process, ensuring that 'EarlyAdopters' receive the new version first, followed by 'StandardUsers' after a week of monitoring, and finally 'CriticalUsers' two weeks after that. Which of the following approaches is the MOST effective way to achieve this using Snowflake Native App release directives?

A) Use release directives with tag-based versioning. Tag each user account with a tag indicating their user group (e.g., 'user_group = 'EarlyAdopters"). Then, use the 'STAGE_VERSIONS' clause in the 'ALTER APPLICATION' command to associate versions with these tags, specifying a different activation time for each tag. For example: 'ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'EarlyAdopters' ACTIVATE_AT = '2024-01-01 00:00:00'; ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'StandardUserS ACTIVATE_AT = '2024-01-08 00:00:00';'
B) Use release directives within a single application package to control version availability based on the application role. Create separate roles for each user group and grant them appropriate privileges.
C) Implement a custom upgrade mechanism within your application logic, querying a configuration table to determine which version each user should receive. This table is updated based on a predefined schedule.
D) Use the SALTER APPLICATION' command with the 'STAGE VERSIONS clause to explicitly assign specific versions to each user group based on their tag values. For example: 'ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'EarlyAdopters';'
E) Create separate application packages for each user group and manage versions independently within each package.

2. You are developing a Snowflake Native Application that performs complex data transformations. You need to monitor the application's performance, identify bottlenecks, and track resource consumption. Which of the following approaches would effectively establish observability and telemetry for your application, ensuring you can gather granular insights into its operations?

A) Utilize Snowflake's Information Schema views (e.g., 'QUERY_HISTORY', to track query performance and resource usage. Correlate this data with application-specific events using custom logging.
B) Implement custom logging within your application code, writing log messages to a temporary stage. Periodically download and analyze these log files using external tools.
C) Leverage Snowflake's event tables and Streamlit to visualize the performance and consumption of resources used by the application.
D) Integrate with a third-party monitoring service (e.g., Datadog, New Relic) by sending application metrics and logs via HTTP endpoints. Configure alerts and dashboards in the monitoring service.
E) Log all application events directly to Snowflake tables using stored procedures. Analyze these tables periodically using SQL queries to identify trends and anomalies.

3. Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.

A) Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.
B) Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
C) Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.
D) Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.
E) Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.

4. A Snowflake Native App is designed to process data in a consumer's account. The application requires access to multiple shared databases provided by different providers. The application provider configures their application. Snowflake is configured so that the app can see all of these shared databases. Now, to enable the Native App with the privileges it requires, what are the necessary steps to allow the application's role, , to query tables in these shared databases?

A) Grant 'ALL PRIVILEGES on each shared database to the 'app_role'. This will allow the application to access all objects within the shared databases.
B) Grant 'IMPORTED PRIVILEGES' on each shared database to the 'app_role' . Additionally, grant 'SELECT privilege on each specific table or view the application needs to access in each shared database to the 'app_role' .
C) Grant USAGE on each shared database to the 'app_role' . Additionally, grant 'SELECT privilege on each specific table or view the application needs to access in each shared database to the 'app_role' .
D) Only grant 'IMPORTED PRIVILEGES on each shared database to the 'app_role' .
E) No additional steps are required. Once the application is installed, it automatically has access to all shared databases.

5. You are developing a Snowflake Native Application that leverages Snowpark Python for data transformation. Your CI/CD pipeline utilizes GitHub Actions for automated testing and deployment. One of your Snowpark functions relies on a UDF that reads data from an external stage. To ensure seamless integration testing in different environments (development, staging, production), you need to dynamically configure the stage URL during the test execution. Consider that you're using environment variables to store environment-specific values. Which of the following approaches provides the MOST secure and maintainable way to configure the stage URL in your Snowpark test code?

A) Hardcode the stage URL directly within the Snowpark Python code. Use different code branches for each environment to manage the different URLs.
B) Define the stage URL as a global variable within your Snowpark session. Set the global variable to the correct URL at the beginning of the test script, using 'os.environ.get()'.
C) Store the stage URL in a configuration file (e.g., JSON or YAML) within the application package. Read the configuration file during test execution and pass the URL to the UDE
D) Create a Snowflake Secret object to store the stage URL. Within your Snowpark Python code, use the function to retrieve the secret value and pass it to the UDF.
E) Use the 'os.environ' module in Python to read the stage URL from the environment variable. Pass the URL directly to the UDF as a string argument.

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