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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Deployment & Distribution | 25% | - Publishing to Snowflake Marketplace - Listing types and monetization - Upgrades and lifecycle management - Versioning and release management |
| Topic 2: Advanced Features & Management | 20% | - Integration with Snowpark and external services - Billing events and cost monitoring - Event logging and telemetry - Governance and compliance |
| Topic 3: Application Design & Creation | 35% | - Native App Framework architecture - Setup scripts and application logic - Application packages and objects - Manifest files and configuration - Security and access control |
| Topic 4: Application Installation & Testing | 20% | - Provider and consumer workflows - Testing strategies and validation - Debugging and troubleshooting - Installation procedures and dependencies |
Snowflake SnowPro Specialty - Native Apps Sample Questions:
1. You are developing a Snowflake Native Application that manages customer accounts. In version 1.0, you had a table named 'CUSTOMER_ACCOUNTS with columns 'ACCOUNT D', 'CUSTOMER NAME, and 'EMAIL'. You are now releasing version 2.0, which requires adding a new column 'PHONE NUMBER to the 'CUSTOMER ACCOUNTS table, but you need to ensure backward compatibility and allow seamless upgrades for existing installations. Which of the following approaches within the 'setup.sqr file is the MOST robust and reliable to implement this schema change without disrupting existing users?
A)
B)
C)
D)
E) 
2. You are developing a Snowflake Native Application that uses Streamlit to provide a user interface for data analysts. The application accesses sensitive customer data residing in a managed database. To enhance security, you want to implement row-level security (RLS) based on the user's role. You have the following Streamlit code snippet:
Which of the following actions should you take to implement RLS in the Snowflake Native App, ensuring only authorized users can view specific rows of 'customer_data'? Assume the already contains necessary credentials. Choose the most secure and efficient method.
A) Implement a custom Python decorator that checks user roles before executing the 'get_data' function. Raise an exception if the user lacks the necessary role.
B) Modify the SQL query within the 'get_data' function to include a 'WHERE clause that filters data based on the current Streamlit user's username obtained using 'st.session_state.user.username' .
C) Use Snowflake's masking policies combined with a secure view. The masking policy reveals data based on the user's role. Grant the Streamlit application's role access to the secure view.
D) Create a secure view in Snowflake that implements RLS based on the role of the user executing the query. Grant the Streamlit user access to this view instead of the base table, and modify the 'get_data' function to query the view.
E) Implement RLS directly within the Streamlit application by filtering the 'data' DataFrame based on the user's role before displaying it using 'st.dataframe'. Store user roles in a separate table and fetch them using a different database connection.
3. You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?
A) Use clustering keys on columns commonly used in queries, such as timestamp and consumer account ID. Consider data compression options if available.
B) Create separate tables for each consumer account to store their usage data.
C) Store all usage data in a single table and rely on Snowflake's automatic clustering to handle performance.
D) Implement a data retention policy to automatically purge older usage data that is no longer needed.
E) Partition the usage data table by consumer account ID to isolate data from different consumers.
4. You're developing a Snowpark Container Services application. Your 'service.yaml' file defines a service named 'data_processor'. You want to create a service endpoint, 'ingest_endpoint' , that is secured and accessible only by authorized consumers of your Snowflake Native Application. Select the TWO SQL statements that, when used together, will correctly create and bind the service endpoint, ensuring proper OAuth authentication and authorization.
A) CREATE OR REPLACE SERVICE ENDPOINT ingest_endpoint FOR SERVICE data_processor WITH AUTHENTICATION TYPE = SNOWFLAKE_JWT;
B) BIND SERVICE ENDPOINT ingest_endpoint FOR SERVICE data_processor WITH AUTHENTICATION TYPE = OAUTH TO APPLICATION PACKAGE;
C) BIND SERVICE ENDPOINT ingest_endpoint FOR SERVICE data_processor WITH AUTHENTICATION TYPE = NONE TO APPLICATION PACKAGE;
D) ALTER SERVICE data_processor ADD ENDPOINT ingest_endpoint WITH AUTHENTICATION TYPE = OAUTH;
E) CREATE SERVICE ENDPOINT ingest_endpoint FOR SERVICE data_processor WITH AUTHENTICATION TYPE = OAUTH;
5. You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:
Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?
A)
B)
C)
D)
E) No modification is needed. The function will automatically return the active 'APPLICATION_ROLE' within the share.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,D | Question # 4 Answer: B,E | Question # 5 Answer: D |


