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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Native Application Design and Creation | 35% | - Application development workflow
- 1. Building and versioning applications
- 2. Application roles and privileges
|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
- 1. Tracing and troubleshooting workflows
- 2. Logging and event tables
|
| Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
- 1. Manifest files and setup scripts
- 2. Application packages and structure
|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
- 1. Version upgrades and release management
- 2. Marketplace listings and publishing
|
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Snowflake SnowPro Specialty - Native Apps 認定 NAS-C01 試験問題 (Q218-Q223):
質問 # 218
You are developing a Snowflake Native Application that uses Streamlit to present dat a. The application relies on a UDF to perform calculations. The UDF resides in the application's schema within the container. The application package is named and the application itself is named 'my_app'. You need to grant the application the necessary privileges to execute this UDF. Which of the following SQL statements, executed by the application provider, will correctly grant the required privilege to the application?
正解:A
解説:
The correct answer is B. The 'EXECUTE privilege is required for an application to execute a UDE Additionally, 'APPLICATION ROLE app_public' is the correct role to grant the privilege to, enabling all users within the application to execute the function. Option A is incorrect because USAGE is not sufficient for executing a UDF. Options C and D are incorrect because you should grant permissions to an APPLICATION ROLE, not the Application directly. Option E is incorrect because 'app_role' is a generic term, and 'app_public' should be used to define the public Application role.
質問 # 219
You are developing a Snowflake Native App that processes sensitive customer dat a. To comply with regulations, you need to ensure that data remains within the customer's Snowflake account and is not exposed to your provider account. Which of the following architectural approaches are MOST effective for achieving this goal?
- A. Implement data masking policies within the provider account and share only the masked data with the consumer.
- B. Employ data clean room functionality, leveraging agreed-upon procedures and technical controls to prevent inappropriate data disclosure.
- C. Use secure UDFs deployed within the consumer's account, allowing the app to process data directly without moving it.
- D. Utilize external functions with secure data sharing, ensuring all processing logic resides in the consumer's account.
- E. Leverage external stages to store data outside of Snowflake, and use the app to access the data through the stage connection.
正解:B、C、D
解説:
Options A, C, and E directly address the requirement of keeping data within the customer's account. External functions (with secure data sharing) and secure UDFs allow processing within the consumer's environment. Data clean rooms provide a secure environment for collaboration and data analysis while minimizing data transfer. Option B violates the requirement by processing data in provider account. External stages (D) do not guarantee data residing within consumer's snowflake environment.
質問 # 220
A data science team is developing a Native App on Snowflake that requires access to data from multiple customer accounts (Reader Accounts). They need to ensure strict data governance and minimize the risk of data leakage. Which of the following approaches provides the MOST secure and scalable solution for accessing and managing this cross-account data?
- A. Implement a data access service within the Native App that uses external functions to query data from consumer accounts, relying on network policies for security.
- B. Package the data extraction logic directly into the Native App using User-Defined Functions (UDFs) that establish secure connections to each consumer account using separate credentials stored securely within the application package.
- C. Grant SELECT privileges directly to the application role on all relevant tables in the consumer accounts.
- D. Create a shared database from each consumer account containing views over the required tables, granting SELECT privileges on these views to the application role.
- E. Utilize secure data sharing with data clean rooms, exposing the required datasets via views on each data clean room.
正解:E
解説:
Secure data sharing provides the MOST secure and scalable solution. Data clean rooms add governance, limiting what data can be exposed, and simplifying setup. Options A and B expose data without fine-grained control; Option C introduces complexities with external function setup and network policies; Option D raises security concerns by managing consumer credentials within the application.
質問 # 221
You are packaging a Snowflake Native Application for listing on the Marketplace. You have developed a setup script (setup.sql) that creates necessary tables and stored procedures within the application container. During the security scan, you receive warnings related to 'Excessive Privileges Granted'. Review the following snippet from your setup.sql script:

What specific change(s) to the setup script would BEST address the 'Excessive Privileges Granted' warning while ensuring the application functions correctly after installation?
- A. Modify the procedure to use an invoker's rights approach (EXECUTE AS OWNER) and limit the SELECT privilege on sapp_data' to only the specific columns required by the application.
- B. Change the GRANT statement to 'GRANT SELECT ON TABLE app_data TO APPLICATION ROLE app_public WITH GRANT OPTION'.
- C. Modify the procedure to run with caller's rights (EXECUTE AS CALLER) and grant SELECT on 'app_data' directly to the end-user's role instead of the application role.
- D. Revoke the EXECUTE privilege on the 'init_app' procedure from the 'app_admin' role after the application is installed.
- E. Within the procedure, use the 'SECURITY INVOKER clause on the 'CREATE TABLE statement to ensure that the table is created with the end-user's privileges instead of the application owner's privileges.
正解:A
解説:
Using an invoker's rights approach (EXECUTE AS OWNER) and limiting privileges to the minimum required (specific columns) reduces the attack surface and minimizes the risk of privilege escalation. Revoking privileges later (Option A) is not ideal as it requires post- installation steps. Caller's rights (Option B) would not work since the application needs its own privileges. SECURITY INVOKER (Option D) is not a valid clause for CREATE TABLE. WITH GRANT OPTION (Option E) would unnecessarily allow the application role to grant SELECT to other roles.
質問 # 222
You are developing a Snowflake Native Application that manages customer dat a. You need to ensure that updates to customer records are idempotent. Your application uses a stored procedure 'update_customer(customer_id INT, new_email VARCHAR)' to update customer emails. How can you modify this procedure to guarantee idempotency, assuming that customer data changes are tracked with a 'last_updated' column of type TIMESTAMP NTZ?
- A. Create a separate table to store only the changes to customer emails and query this table to determine the latest email.
- B. Implement optimistic locking using a version number for each customer record and checking the version before updating.
- C. Enclose the entire stored procedure within a 'TRY...CATCH' block and retry if any exception occurs.
- D. Add a 'COMMIT statement at the end of the stored procedure to ensure all changes are persisted immediately.
- E. Use ' MERGE statement, comparing the new email with the existing email and updating only if they are different, while also ensuring that the update only happens if the new ' last_updated' timestamp is later than the stored one.
正解:E
解説:
Option C leverages the 'MERGES statement for idempotent updates. By comparing the existing and new email and only updating if different, and comparing the Alast_updated' timestamp, it prevents redundant updates if the procedure is called multiple times with the same input. Optimistic locking (A) is a valid concurrency control mechanism but doesn't directly guarantee idempotency in this scenario. 'COMMIT (B) affects transaction behavior, not idempotency. Creating a separate table (D) adds complexity but doesn't inherently ensure idempotency of the update_customer' procedure itself. 'TRY...CATCH& (E) provides error handling but doesn't address idempotency.
質問 # 223
......
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