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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 and want to implement comprehensive cost monitoring for your application's resource consumption within a consumer's Snowflake account. Which of the following approaches provide the MOST effective and granular cost visibility for both you (as the provider) and your consumers?

A. Rely solely on Snowflake's global account-level cost dashboards and resource monitors to track overall Snowflake usage, including the resources consumed by your application. Analyze these dashboards manually to identify potential cost optimization opportunities.
B. Utilize Snowflake's query history and function within your application to capture query execution statistics. Create views or tables to summarize resource consumption metrics for specific application components.
C. Combine Snowflake's query history (accessed via the ACCOUNT_USAGE schema) with custom tagging of resources and queries within your application. This allows you to attribute resource consumption to specific application features and provide detailed cost breakdowns for consumers.
D. Implement custom logging within your application to track resource usage (e.g., CPU time, data scanned) for each function or query. Aggregate and analyze these logs to generate cost reports for consumers.
E. Leverage Snowflake's Resource Monitor feature to set budget limits for the entire consumer account and receive alerts when these limits are exceeded. This provides a general overview of spending but lacks application-specific granularity.

Question 2

You are developing a Snowflake Native Application that processes customer order dat a. As part of the setup script, you need to create a shared database and a secure view to expose aggregated order statistics to consumer accounts. Which of the following is the MOST secure and efficient way to achieve this, considering data governance and performance?

A. Create a regular view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
B. Create a regular view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared view.
C. Create a secure view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this view.
D. Create a secure materialized view in the provider account and grant SELECT privileges to the application role. Then, create a shared database and share this materialized view.
E. Create a secure view in the application database using the APPLICATION role. Create a shared database and share the APPLICATION database. The consumer account then uses a local view pointing to the shared secure view.

Question 3

You are managing versions of a Snowflake Native App that persists data to tables within the consumer's account. You want to provide consumers with the ability to rollback to a previous version of the application without losing dat a. Which combination of Snowflake features and practices would best support this requirement?

A. Rely solely on Snowflake's Time Travel feature on the consumer's tables, instructing users to manually restore data to the desired point in time after rolling back the application.
B. Combine Snowflake's Time Travel feature with automated scripts within your application that identify and restore tables affected by the rollback to the specific point in time when the previous version was active. Provide users with a simplified rollback process.
C. Require consumers to manually back up their data before each application upgrade and provide instructions on how to restore it.
D. Implement a backup and restore mechanism within your application, creating regular snapshots of the consumer's tables and storing them in a secured location. Provide a rollback procedure that restores data from the appropriate snapshot.
E. Store data version history within the application and reconstruct historical states on demand. This requires complex data modeling and coding.

Question 4

You are developing a Snowflake Native App that utilizes Streamlit for its user interface. You want to control the app's behavior based on whether it's running in a development environment within your provider account or in a consumer account after installation. Which of the following methods can you use within your 'streamlit.py' to determine the current execution context (Provider vs. Consumer) reliably?

A. Use which is a function specifically designed to check if the app is running in a consumer account.
B. Read an environment variable set during the application installation process by the consumer.
C. Examine the session context function 'CURRENT ACCOUNT()' function and compare it with the provider account identifier, if matches then it is a provider. It is the best method.
D. Query the view. Presence in this view indicates a provider environment.

Question 5

You're developing a Snowflake Native Application and want to control access to different features based on roles. You have a Streamlit application that displays sensitive data, and you only want users with the 'DATA ANALYST and 'ADMIN' roles to be able to view this dat a. Which of the following methods or a combination of methods are MOST appropriate for enforcing this role-based access control within your Streamlit application and the underlying Snowflake resources?

A. Within the Streamlit application, use the function to check for a URL parameter containing the user's role. If the role matches or 'ADMIN', display the data; otherwise, display an error message. Grant 'SELECT' privilege on the underlying data tables to the DATA ANALYST and 'ADMIN' roles directly.
B. Create a stored procedure that checks the user's role using 'CURRENT and returns the requested data only if the role matches or ' ADMIN'. Call this stored procedure from your Streamlit application. Do not grant any direct privileges on the underlying tables to the 'DATA_ANALYST or 'ADMIN' roles. Set the 'EXECUTE AS CALLER property on the stored procedure.
C. Within the Streamlit application, use 'snowflake.connector' to execute 'SELECT and check if the returned role matches DATA ANALYST or 'ADMIN'. If so, display the data; otherwise, display an error message. Grant USAGE' privilege on a custom role, and grant 'SELECT on the underlying tables and USAGE on the schema to that custom role. Finally grant the 'DATA_ANALYST and 'ADMIN' roles to this custom role.
D. Implement row-level security (RLS) policies on the underlying tables to filter data based on the user's role. Then, within the Streamlit application, simply display the data without any explicit role checks. The RLS policies will automatically ensure that users only see the data they are authorized to see. Grant 'SELECT privilege on the underlying data tables to the 'DATA ANALYST and 'ADMIN' roles directly.
E. Create a custom python module that checks if the user's role matches "DATA_ANALYST or 'ADMIN' and configure it for role based access control.

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