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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are building a Streamlit application within a Snowflake Native App that allows users to download data as CSV The data is prepared using a Snowflake stored procedure. The Streamlit app uses a Snowflake Connector for Python to call the stored procedure and retrieve results. Which of the following privileges are required for the 'app_public' role to successfully execute the stored procedure from within the Streamlit application? Select all that apply.

A) OWNERSHIP on the stored procedure.
B) EXECUTE on the stored procedure.
C) USAGE on the database containing the stored procedure.
D) CREATE STORED PROCEDURE on the schema containing the stored procedure
E) USAGE on the schema containing the stored procedure.

2. A Snowflake Native App developer is designing the upgrade process for their application. They need to ensure that data stored in the application's managed tables is preserved during the upgrade and that the application remains functional throughout the upgrade process. Which of the following strategies should the developer implement to achieve these goals? (Select TWO)

A) Design the application's data model to be backward-compatible, allowing the new version to read and write data in the format used by previous versions. Use 'ALTER TABLE to add new columns or modify existing ones without breaking existing functionality.
B) Use the 'DROP TABLE command with the 'CASCADE' option to remove all tables and views before deploying the new version of the application.
C) Before upgrading, unload all data from the application's tables to cloud storage, and then reload the data into the new version after the upgrade is complete.
D) Utilize Snowflake's data sharing capabilities to create a read-only replica of the application's data for the new version to access during the upgrade.
E) Implement a versioning system for the application's metadata using the ' APPLICATION VERSION' construct, ensuring that the new version can handle data from previous versions.

3. 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) 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.
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 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.
D) 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.
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.

4. A Snowflake Native App provider has implemented an Event Table to capture application logs. They observe a significant performance degradation in their application queries when the Event Table grows beyond a certain size. Which of the following strategies can be implemented to mitigate the performance issue, assuming that frequent querying of the last 7 days of data is common? Select ONLY ONE answer.

A) Increase the warehouse size used for querying the Event Table.
B) Implement a stored procedure that manually copies the last 7 days of data to a separate, smaller table.
C) Disable automatic clustering on the Event Table.
D) Partition the Event Table by date, using the ' INSTALLATION_TIMESTAMP' column.
E) Create a materialized view on top of the Event Table that filters for events within the last 7 days.

5. You are developing a Snowflake Native Application and need to implement robust logging for troubleshooting purposes. You want to capture detailed information about function calls, including input parameters and return values. Which of the following approaches offers the MOST comprehensive and secure solution for logging within a Snowflake Native Application, considering the limitations imposed by the Snowflake environment?

A) Using ' SYSTEM$LOG' with trace level logging and store the logs into internal stage, accessible only by the application's service user.
B) Using 'SYSTEM$LOG' with debug level logging and capturing logs in a secure internal stage, managed by the provider, ensuring data privacy and limited consumer access.
C) Employing 'EXECUTE IMMEDIATE to write log messages directly to a dedicated logging table within the consumer's account.
D) Writing log messages to an external stage (e.g., AWS S3, Azure Blob Storage) that is accessible to both the provider and consumer accounts.
E) Leveraging Snowflake's event tables and configuring the application to emit custom events, then creating views on those event tables within the consumer's account.

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