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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
|
| Topic 2: Snowflake Native Applications Design and Creation | 35% | - Create and manage billing events and cost monitoring techniques
|
| Topic 3: Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
|
| Topic 4: Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
|
Snowflake SnowPro Specialty - Native Apps Sample Questions:
1. You are developing a Snowflake Native App that performs complex data transformations and offers different pricing tiers based on usage. You plan to use Snowflake Usage Metering Events to track consumer usage. Which of the following is the MOST appropriate approach to track usage and associate it with the correct pricing tier in your setup script and application code?
A) Call 'SYSTEM$METER USAGE without specifying an event name. Aggregate usage data based on query history in the consumer account to determine pricing.
B) Avoid using 'SYSTEM$METER USAGE altogether and rely on Snowflake's built-in resource monitoring to track usage for billing.
C) Call 'SYSTEM$METER USAGE with a fixed event name and quantity for each transformation, regardless of complexity or pricing tier.
D) Create a view on the APP USAGMETERING_HISTORY view to capture usage data. Call 'SYSTEM$METER USAGE from with in the View.
E) Call 'SYSTEM$METER USAGE with a dynamic event name that encodes the pricing tier and complexity of the transformation. Store the mapping of event names to pricing in a configuration table within your app.
2. You're developing a Snowflake Native Application with a front-end UI built using Streamlit, deployed as a UDF. This UI allows users to upload CSV files for processing. To adhere to security best practices and prevent unacceptable code practices in a Native App, what considerations should you prioritize in your development and deployment process specifically related to handling user-uploaded files ?
A) Allow user to execute scripts or upload executable file as part of CSV content
B) Store the uploaded CSV files directly within a Snowflake table without any validation to ensure high performance and minimal overhead.
C) Disable any logging or auditing of file upload activity to protect user privacy and avoid unnecessary data storage.
D) Assume that all uploaded files are safe and trustworthy, and directly process them without any security checks.
E) Implement strict file size limits and file type validation on both the client-side (Streamlit UI) and server-side (Snowflake UDF) to prevent denial-of-service attacks and malicious file uploads. Sanitize and validate the contents of the uploaded CSV file, escaping special characters and preventing SQL injection vulnerabilities if data from the CSV is used in SQL queries.
3. You've installed a Snowflake Native Application that provides advanced data analytics. The application requires a consumer-defined function (UDF), 'MASK SENSITIVE DATA, to be created in their account and used by the application. The application's setup script includes logic to check for the UDF's existence, but you want to ensure the application gracefully handles the case where the consumer has not yet created the UDF. Which of the following strategies can you implement to improve the application's resilience and provide a better user experience in this scenario? Select all that apply.
A) Within the application's SQL code, use the 'TRY FUNCTION' function to call 'MASK SENSITIVE DATA'. If the UDF does not exist, 'TRY FUNCTION' will return 'NULL' instead of raising an error.
B) Dynamically generate the application code using a stored procedure, only including the parts of the code that rely on if the function exists. Use 'SYSTEM$GET PRIVILEGES()' to check existence.
C) Implement error handling within the application's code to catch the 'SQL compilation error: UDF does not exists exception. Provide a user-friendly error message and instructions on how to create the UDF.
D) Require the consumer to create the UDF before installing the application. The application setup script should fail if the UDF is not found, preventing installation.
E) In the application's setup script, create a placeholder UDF with the same name and signature as 'MASK SENSITIVE DATA' that returns 'NULL'. The application logic can then handle 'NULL' values appropriately until the consumer provides the actual UDF.
4. A Snowflake Native App developer is packaging their application and needs to define the necessary privileges within the application package's manifest file. The application requires 'SELECT' access to a view named 'PROVIDER VIEW' and 'USAGE' on the database 'PROVIDER DB'. Which of the following YAML snippets correctly defines these privileges in the manifest file? (Choose two)
A)
B)
C)
D)
E) 
5. You are managing the release of a new version (v2.0) of your Snowflake Native Application that introduces significant schema changes to shared tables accessed by consumer accounts. To minimize disruption during the upgrade, you want to implement a phased rollout while ensuring backward compatibility for consumers who haven't yet upgraded. Which of the following strategies would allow you to achieve this goal effectively? (Select TWO)
A) Create views on top of the new schema in v2.0 that emulate the old schema from vl .0. Grant consumers 'USAGE' on these views until they upgrade.
B) Create separate versions of the shared tables for vl .0 and v2.0, using views to present a unified interface. Grant consumer 'USAGE on view after upgrading.
C) Use dynamic SQL within stored procedures to conditionally access either the old or new schema based on the consumer's account ID, identified through a custom configuration table.
D) Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.
E) Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: E | Question # 3 Answer: A,C | Question # 4 Answer: B,C | Question # 5 Answer: A,E |




