Snowflake SnowPro Core Certification NAS-C01

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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 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. Log all application events directly to Snowflake tables using stored procedures. Analyze these tables periodically using SQL queries to identify trends and anomalies.
B. Leverage Snowflake's event tables and Streamlit to visualize the performance and consumption of resources used by the application.
C. Implement custom logging within your application code, writing log messages to a temporary stage. Periodically download and analyze these log files using external tools.
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. 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.

Question 2

You are developing a Snowflake Native Application with a custom setup script. Within the setup script, you need to perform different actions based on whether the application is being installed for the first time in a consumer's account, or if it's an upgrade from a previous version. Which of the following functions or techniques can you reliably use within the setup script to determine if the current execution is a fresh installation vs. an upgrade? (Assume the app version is maintained and accessible as a variable 'current_version' .)

A. Attempt to read a known persistent setting from the application's metadata. If the setting exists, it's an upgrade; otherwise, it's a fresh install. (Requires metadata setup in a previous version)
B. Check if the current version is '1.0', assuming the initial version of the application will always be '1.0'.
C. Query the 'INFORMATION_SCHEMAPPLICATIONS' view to check if the application name already exists in the consumer's account.
D. Use the table 'APPLICATION_REGISTRY' function to check for an existing entry for the application in the current account.
E. Use 'SYSTEM$GET_PREVIOUS_VERSION()' function inside the setup script. If it returns NULL, it is the first install.

Question 3

You've developed a Snowflake Native Application. During the installation process in a consumer's account, the installation fails. The error message is vague and doesn't pinpoint the exact cause. What are the MOST effective steps you can take, in order , to diagnose the installation failure and provide the consumer with a resolution? (Select the top 3 steps)

A. Review the event logs generated by the application during the installation process using Snowflake Event Tables. Use the appropriate filtering and querying techniques to narrow down the relevant events.
B. Ask the consumer to manually create all the required roles and grants before attempting the installation again.
C. Leverage the 'SYSTEM$GET PKG INSTALLATION ERRORS function in the provider account to retrieve detailed error messages and debugging information related to the failed installation. Correlate this with the installation version and consumer account I
D. Request the consumer to share their entire Snowflake account metadata with you for debugging purposes.
E. Examine the consumer's ACCOUNT_USAGE views, specifically related to query history and errors that occurred during the installation timeframe.

Question 4

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

Question 5

You are troubleshooting a Snowflake Native Application installation that consistently fails with a cryptic error message: 'Internal Application Error: Check application logs for details'. You have access to the application's code package but are unsure how to effectively gather detailed logs and telemetry data from the running application. Which strategy would provide the MOST comprehensive and maintainable observability solution within the Snowflake Native App framework?

A. Leverage Snowflake's event tables and configure the application to emit custom events to these tables. Consumers can then subscribe to these events to monitor application behavior.
B. Integrate a third-party logging framework (e.g., Log4j) into the application code and configure it to write logs to an external logging service accessible over the internet.
C. Rely solely on the error messages returned by Snowflake during application execution, as these are sufficient for identifying most installation issues.
D. Implement calls within the application code to write log messages directly to a Snowflake table owned by the application provider. Consumers can then query this table to view logs.
E. Utilize the view to analyze query execution patterns and identify potential bottlenecks within the application's SQL code.

Solutions: