Snowflake NAS-C01 - SnowPro Specialty - Native Apps

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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You have created a Snowflake Native Application that includes a User-Defined Function (UDF) written in Python. The UDF processes JSON data and performs complex calculations. During testing in a consumer's account, you discover that the UDF is running slower than expected. What steps can you take to optimize the UDF's performance? (Select TWO)

A) Increase the warehouse size allocated to the consumer's account, as this directly impacts UDF execution speed.
B) Switch the UDF implementation from Python to SQL, as SQL UDFs are generally faster than Python UDFs.
C) Reduce the complexity of the UDF by simplifying the calculations and minimizing the amount of data processed.
D) Recompile the UDF with the latest version of the Snowflake runtime environment.
E) Leverage vectorization techniques within the Python UDF using libraries like NumPy to perform operations on entire arrays instead of individual elements.

2. You are developing a Snowflake Native App that requires specific privileges to access data in the consumer's account. In your manifest file, you want to request these privileges. Which of the following statements best describes the correct way to request these privileges within the 'privileges' section of the manifest file?

A) You can only request privileges for future grants. Existing object grants are not supported in manifest file.
B) Privileges are managed entirely through the application's setup scripts. The manifest file does not play a role in privilege management.
C) Use the 'allowed_roles' section in the manifest to list the roles that are allowed to access data in the consumer's account, Snowflake automatically grants necessary privileges to these roles.
D) Specify a list of required privileges under the 'privileges' section, detailing the specific objects (databases, schemas, tables) and actions (SELECT, INSERT, UPDATE) the application needs to perform.
E) Privileges are automatically granted to the application based on the roles specified in the application code. No explicit declaration is needed in the manifest file.

3. You are developing a Snowflake Native Application that utilizes Snowpark Container Services (SPCS) for its backend processing. The application requires secure access to a specific endpoint hosted within the SPCS environment. You've defined a service in your SPCS compute pool. Which of the following SQL commands is the MOST secure and appropriate way to expose an endpoint for access from within the application's consumer environment, assuming the endpoint requires OAuth authentication?

A) ALTER SERVICE my_service ADD ENDPOINT my_endpoint WITH AUTHENTICATION TYPE = OAUTH;
B) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = SNOWFLAKE_JWT;
C) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = NONE;
D) BIND SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH TO APPLICATION PACKAGE;
E) CREATE SERVICE ENDPOINT my_endpoint FOR SERVICE my_service WITH AUTHENTICATION TYPE = OAUTH;

4. You are developing a Snowflake Native Application that needs to be deployed across multiple Snowflake accounts. The application includes a setup script that creates several tables and stored procedures. However, some consumers might have naming conflicts with the objects created by your setup script. Which of the following strategies can you use to minimize naming conflicts and ensure smooth application deployment? (Select all that apply)

A) Dynamically generate object names within the setup script using the application's name and a random suffix.
B) Utilize the 'CREATE OR REPLACE syntax for all objects in the setup script to overwrite any existing objects.
C) Package all application objects into a dedicated schema within the consumer's database.
D) Prefix all objects created by the setup script with a unique, application-specific identifier.
E) Instruct consumers to drop any conflicting objects before installing the application.

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) 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.
B) 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.
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) 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.
E) Use a Snowflake Stream on the event table and continuously poll the Stream from within the Snowpark Container Service using the Snowpark API.

Solutions: