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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use Snowflake's marketplace 2. Use data sharing for app interoperability
Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Account security and access management 2. Data sharing and protection mechanisms 3. Cloud-based computing and storage concepts
Snowflake Native Applications Design and Creation	35%	- Apply Snowflake best practices while building native application workloads 1. Build, distribute, and monetize apps in Snowflake 2. Design scalable applications - Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures

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Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen (Q291-Q296):

291. Frage
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. Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.
B. Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.
C. 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.
D. 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.
E. 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.

Antwort: B,C

Begründung:
Options A and D are both viable strategies. Creating views on top of the new schema that emulate the old schema provides backward compatibility by maintaining the expected data structure for consumers who have not yet upgraded. Implementing API versioning within the application code allows you to handle requests from consumers running older versions, ensuring that their existing integrations continue to function. Option B introduces unnecessary complexity and performance overhead with dynamic SQL. Option C relies on manual data migration by consumers, which is prone to errors and delays. Option E doubles the storage requirements by creating separate table copies.

292. Frage
A data provider wants to distribute a Snowflake Native Application that includes a secure view 'PROVIDER DB.PUBLIC.SALES SUMMARY' which aggregates sales dat a. They want to allow consumers of the application to query this view, but prevent them from accessing the underlying base tables. Which minimum set of privileges must be granted on the 'SALES SUMMARY view to enable this, assuming the application role is 'APP ROLE and the installing account doesn't want to use 'imported privileges' ?

A. GRANT REFERENCES ON VIEW PROVIDER DB.PUBLIC.SALES SUMMARY TO ROLE APP ROLE;
B. GRANT USAGE ON DATABASE PROVIDER DB TO ROLE APP ROLE; GRANT USAGE ON SCHEMA PROVIDER DPUBLIC TO ROLE APP ROLE; GRANT SELECT ON VIEW PROVIDER DB.PUBLIC.SALES SUMMARY TO ROLE APP ROLE;
C. GRANT SELECT ON VIEW PROVIDER DB.PUBLIC.SALES SUMMARY TO ROLE APP ROLE;
D. GRANT SELECT ON VIEW PROVIDER DB.PUBLIC.SALES SUMMARY TO SHARE WITH APP ROLE;
E. GRANT ALL PRIVILEGES ON VIEW PROVIDER DB.PUBLISALES SUMMARY TO ROLE APP ROLE;

Antwort: B

Begründung:
The consumer needs 'USAGE' privilege on the database and schema containing the view to access it. The 'SELECT' privilege on the view itself is required to query it. 'GRANT ALL PRIVILEGES' is excessive. 'GRANT ... TO SHARE is not a valid syntax. REFERENCES is for foreign keys.

293. Frage
You're tasked with designing a Snowflake Native Application that leverages Snowpark Container Services (SPCS). The application's backend service, 'my service' , requires several environment variables to function correctly (e.g., API keys, database connection strings). These variables must be securely managed and accessible within the containen You've already created the compute pool and service. Which of the following approaches represent the BEST practices for securely injecting these environment variables into in a way that aligns with Snowflake's recommended security model?

A. Store the environment variables in a publicly accessible cloud storage bucket (e.g., AWS S3) and have the container download them at startup.
B. Hardcode the environment variables directly into the container image during the Docker build process.
C. Pass the environment variables as plain text arguments to the container's entrypoint script via the 'command' or Sargs section of the 'service.yamr file.
D. Utilize Snowflake's external functions to retrieve environment variables directly from a secure third-party vault during container runtime.
E. Use Snowflake's Secrets feature to store the environment variables and reference them in the 'service.yamr file used to define the SPCS service.

Antwort: E

Begründung:
Using Snowflake's Secrets feature is the most secure and recommended approach. Secrets are encrypted and managed within Snowflake, preventing them from being exposed in build logs or configuration files. Referencing them in the 'service.yaml' allows for secure injection into the container's environment. Hardcoding secrets, passing them as plain text arguments, or storing them in publicly accessible storage are all highly insecure practices. While external functions could be used to retrieve secrets, they add unnecessary complexity and potential latency compared to the native Secrets feature.

294. Frage
You are packaging a Snowflake Native App using the 'snowflake nativeapp package' command. The app relies on a specific external Python library that isn't available by default in Snowflake. Which methods can you use to include this library in your application package and ensure it's accessible within your application's procedures and functions?

A. Upload the Python library using the 'PUT' command and explicitly reference it in the 'manifest.ymr under the 'artifacts' section, pointing to the internal stage location. Use the 'IMPORT statement within your stored procedure or UDF handler code to make the library available during execution.
B. Use the Anaconda channel integration. Specify the required package in the 'manifest.ymr file, and Snowflake automatically downloads and installs the library during application installation. This only works for packages available through Anaconda.
C. Upload the Python library as a stage object and reference it in the 'manifest.ymr file using the 'artifacts' section. Snowflake will automatically include it in the application package and make it available during runtime using the 'IMPORT' statement in the handler code.
D. Combine options B and C. Use the Anaconda channel integration when possible, and for custom or unavailable packages, use the ZIP file import method for individual functions. Prioritize Anaconda for easier dependency management.
E. Bundle the Python library as a ZIP file along with your application code. When creating the function using 'CREATE FUNCTION' , specify the ZIP file as part of the 'IMPORTS' clause. Snowflake automatically extracts and makes the library available to the function.

Antwort: D

Begründung:
The correct answer is D. Snowflake allows using both Anaconda channel for readily available packages and ZIP file imports for custom or unavailable ones. Utilizing Anaconda streamlines dependency management where possible, while the ZIP file method provides flexibility for including any Python library directly with the function/procedure deployment.

295. Frage
You are managing versions of a Snowflake Native App that persists data to tables within the consumer's account. You want to provide consumers with the ability to rollback to a previous version of the application without losing dat a. Which combination of Snowflake features and practices would best support this requirement?

A. Store data version history within the application and reconstruct historical states on demand. This requires complex data modeling and coding.
B. Implement a backup and restore mechanism within your application, creating regular snapshots of the consumer's tables and storing them in a secured location. Provide a rollback procedure that restores data from the appropriate snapshot.
C. Rely solely on Snowflake's Time Travel feature on the consumer's tables, instructing users to manually restore data to the desired point in time after rolling back the application.
D. Combine Snowflake's Time Travel feature with automated scripts within your application that identify and restore tables affected by the rollback to the specific point in time when the previous version was active. Provide users with a simplified rollback process.
E. Require consumers to manually back up their data before each application upgrade and provide instructions on how to restore it.

Antwort: B,D

Begründung:
Combining Time Travel with automated scripts (D) gives consumers a simple process and maintains data integrity. The backup and restore mechanism (B) adds an extra layer of protection, and could potentially allow for longer retention than the standard Time Travel configuration. (A) places too much burden on the consumer. (C) is too complex. (E) is not user friendly and prone to errors. Implementing scripts to manage time travel on the consumers' data warehouse is more effective than relying on them to do it themselves.

296. Frage
......

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