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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications
Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Marketplace listings and publishing 2. Version upgrades and release management
Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts
Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Tracing and troubleshooting workflows 2. Logging and event tables

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Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen (Q17-Q22):

17. Frage
You are designing a Snowflake Native App that includes a Streamlit I-Jl. The Streamlit app needs to access data stored in a secure table within the consumer's account. What are the recommended and MOST secure methods for granting the Streamlit app access to this data, considering the principle of least privilege? Select all that apply.

A. Grant *SELECT privilege directly on the table to the application role.
B. Grant the ' IMPORTED PRIVILEGES' privilege on the database containing the table to the application role.
C. Create a secure view on top of the table and grant 'SELECT privilege on the view to the application role. Publish the View via 'show published objects in application package'.
D. Create an external function that retrieves the data and grant 'USAGE on the external function to the application role.

Antwort: B,C

Begründung:
Granting 'IMPORTED PRIVILEGES (A) on the database allows the application to inherit privileges defined within the consumer's account, following the principle of least privilege. Creating a secure view (C) and granting SELECT on the view to the application role provides a controlled interface to the data. Directly granting SELECT on the table (B) is less secure, as it grants direct access. External functions (D) introduce unnecessary complexity and potential security risks. Granting 'ACCOUNTADMIW (E) is a significant security violation and should never be done.

18. Frage
You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?

A. Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
B. Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
C. Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
D. Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.
E. Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.

Antwort: A

Begründung:
Option E is the most suitable and efficient solution. Combining Snowflake's Information Schema views with Time Travel provides a comprehensive and native way to track changes to application code objects. The Information Schema provides metadata about database objects, and Time Travel allows you to query historical versions of those objects. This approach leverages Snowflake's built-in capabilities without requiring external tools or manual change logging. Options A and B requires extra configuration of the whole process. Option C while feasible, Time Travel has to be enabled on each component, which makes option E superior. Option D is designed for data and not code auditing.

19. Frage
A Native Application deployed on Snowflake uses a warehouse 'APP WH'. You want to monitor the warehouse usage costs specifically attributed to this application. Which of the following approaches provides the MOST granular and accurate way to track these costs?

A. Tag all queries originating from the application with a specific tag and then filter the 'QUERY_HISTORY view based on this tag and the warehouse name.
B. Rely on the total credits consumed by the account, as the application's usage is insignificant.
C. Create a separate warehouse solely for the application and then examine the 'WAREHOUSE METERING HISTORY view.
D. Use the view and filter by 'USER_NAME associated with the application role.
E. Examine the 'WAREHOUSE METERING HISTORY view in the 'SNOWFLAKE database without any filtering.

Antwort: C

Begründung:
Creating a separate warehouse exclusively for the application is the most precise method. The view then provides accurate usage data. Tagging queries (Option B) is a viable alternative but requires diligent implementation and maintenance of the tagging strategy. Filtering 'QUERY_HISTORY by (Option D) may not accurately reflect costs if the role is used for other purposes. Examining without filtering (Option A) is too broad, and assuming the application's usage is insignificant (Option E) is incorrect for proper cost management.

20. Frage
You are designing a Snowflake Native Application that requires fine-grained access control to its data within the consumer account. You want to ensure that consumers can only access data relevant to their specific department. Which of the following Snowflake features, when combined, offer the MOST secure and flexible solution for implementing this requirement within the context of a Snowflake Native Application ?

A. Row Access Policies and Secure Views with Caller's Rights.
B. External Tables and Secure Views with Owner's Rights.
C. User-Defined Functions (UDFs) and Row Access Policies.
D. Dynamic Data Masking policies and Views with Caller's Rights.
E. Views and Stored Procedures with Caller's Rights.

Antwort: A

Begründung:
The best combination is Row Access Policies and Secure Views with Caller's Rights. Row Access Policies: Allow you to filter data based on the user accessing it, ensuring they only see data relevant to their department. Policies are applied to tables. Secure Views with Caller's Rights: Allow you to encapsulate the data access logic, ensuring that the row access policies are always enforced, and that consumers cannot bypass them. Caller's rights are essential here, as the access control decisions need to be made based on who is using the view. The other options are less suitable: A: Views and Stored Procedures can enforce access, but without Row Access Policies, they're less secure. B: UDFs can manipulate data but don't inherently enforce row-level security like Row Access Policies. C: External Tables are for data outside Snowflake; Owner's Rights are less secure than Caller's Rights in this scenario. E: Dynamic Data Masking hides data, it doesn't filter it, so it won't restrict access to specific rows.

21. Frage
You are developing a Snowflake Native Application that leverages a UDF to perform complex data transformations. During provider-side testing in test mode, you encounter an intermittent error within the UDF. Which of the following strategies are MOST effective in debugging this issue within the limitations of test mode, considering you cannot directly access the consumer's Snowflake account or granular execution logs?

A. Leverage Snowflake's query profiling tools on the provider side against the application's data-sharing objects to identify performance bottlenecks or unexpected behavior within the UDF's execution plan. (Assume data sharing objects are set up for provider side testing)
B. Simulate the consumer environment as closely as possible on the provider side by creating a separate Snowflake account with similar data volumes and configurations, then install the application in test mode in that account.
C. Implement rigorous input validation within the UDF to catch potential data inconsistencies that might be causing the error. Ensure informative error messages are returned for debugging purposes.
D. Use the ALERT' functionality to send notifications to the provider's account whenever the UDF encounters the error, allowing for real-time monitoring of the application's behavior.
E. Utilize 'SYSTEM$LOG' within the UDF to output detailed execution information to the application's event table. Analyze these logs after triggering the error in test mode.

Antwort: C,E

Begründung:
Options A and B are the most practical approaches within the constraints of test mode. allows you to capture execution information from the UDE Robust input validation (B) can help identify and isolate problematic data. Option C is less practical because you have limited access to query profiling tools. Option D is not ideal for debugging intermittently, while option E using alerts is not available in native apps context for UDF.

22. Frage
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