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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. An organization is building a Snowflake Native App that performs complex data transformations. The transformation logic is encapsulated in a stored procedure. They want to allow consumer accounts to execute this stored procedure, but ONLY with the privileges of the application itself, preventing access to the consumer's data through the procedure. Which set of actions are required to achieve this?

A) Create the stored procedure with the 'EXECUTE AS CALLER clause and grant the 'APPLY APPLICATION' privilege on the application package to the consumer's role.
B) Create the stored procedure with the ' EXECUTE AS OWNER clause and grant the ' EXECUTE APPLICATION' privilege on the application instance to the consumer's role.
C) Create the stored procedure with the ' EXECUTE AS CALLER clause and grant the 'EXECUTE APPLICATION' privilege on the application instance to the consumer's role.
D) Create the stored procedure with the 'EXECUTE AS OWNER clause and grant the 'USAGE privilege on the application package to the consumer's role.
E) Create the stored procedure with the ' EXECUTE AS OWNER' clause and grant the ' IMPORTED PRIVILEGES' on the application package to the consumer's role.

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) Use 'SYSTEM$GET_PREVIOUS_VERSION()' function inside the setup script. If it returns NULL, it is the first install.
D) Query the 'INFORMATION_SCHEMAPPLICATIONS' view to check if the application name already exists in the consumer's account.
E) Use the table 'APPLICATION_REGISTRY' function to check for an existing entry for the application in the current account.

3. You are developing a Snowflake Native Application using Snowpark Container Services. The application needs to access sensitive data stored in an internal stage, but you want to ensure that only the application's container service can access this stage and no other users or processes. How can you achieve this using network policies and ingress/egress rules?

A) Create an ingress rule for the container service that allows only outbound traffic to the internet. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
B) Create a network policy that allows inbound traffic from all IP addresses and attach it to the account. Grant 'READ and 'WRITE' privileges on the internal stage to the Native App's service account.
C) Create an ingress rule for the container service that specifies allowed inbound connections and egress rule for the container service that only allows outbound traffic to Snowflake's internal endpoint for stage access. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
D) Create an egress rule for the container service that allows outbound traffic only to Snowflake's internal IP address range. Create a network policy that allows inbound traffic only from the container service's egress IP address. Grant 'READ and 'WRITE privileges on the internal stage to the Native App's service account.
E) Create a network policy that allows inbound traffic only from the specific IP address range of the Snowflake region where the container service is running. Grant READ and 'WRITE privileges on the internal stage to the Native App's service account.

4. You are developing a Snowflake Native Application that uses a UDF (User-Defined Function) to process dat a. The UDF needs to be updated with new logic to handle a specific edge case. You want to ensure a smooth transition for existing consumers of your application. Which of the following strategies should you consider to avoid breaking changes? (Select TWO)

A) Implement versioning within the existing UDF to handle the new logic based on a version parameter passed by the consumer.
B) Modify the existing UDF in place and notify consumers about the change after deployment.
C) Remove the existing UDF and provide instructions for consumers to recreate it with the new logic.
D) Create a new UDF with a different name, implement the new logic, and update the application to use the new UDF, while keeping the old UDF for backward compatibility.
E) Package new version and then call patch method.

5. You are designing a Snowflake Native Application using Snowpark Container Services to perform real-time sentiment analysis on streaming dat a. The application needs to subscribe to a Snowflake event table to receive incoming data, perform the analysis in the container, and store the results in another table in the consumer's account. Which of the following approaches represents the most efficient and scalable way to implement this data ingestion and processing pipeline?

A) Utilize Snowflake Event Tables and subscribe the Snowpark Container Service to the event table. Process incoming events using a Snowpark Python function within the container, leveraging its ability to handle concurrent requests.
B) Use a Snowflake Stream on the event table and continuously poll the Stream from within the Snowpark Container Service using the Snowpark API.
C) Create a Snowflake external table that directly reads data from the external source. Mount this external table within the container service and perform sentiment analysis directly on the external data.
D) Configure a Snowflake Task to periodically load data from the event table into an internal stage and then trigger the Snowpark Container Service to process the data from the stage.
E) Implement a Snowpipe pipeline that continuously loads data from an external stage into the event table. Then use a database trigger on the event table to invoke a stored procedure that calls the Snowpark Container Service.

Solutions: