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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Logging and event tables 2. Tracing and troubleshooting workflows
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
Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q246-Q251):

NEW QUESTION # 246
You have released version 1.0 of your Snowflake Native Application. After receiving feedback, you release version 1.1 with breaking changes to the data schema in the application's managed database. Some consumers haven't upgraded yet. How can you ensure that the older version continues to function correctly while allowing new consumers to use the updated schema?

A. Maintain two separate application packages: one for version 1.0 and one for version 1.1. Version 1.1 includes logic to automatically migrate data for consumers who upgrade.
B. Deprecate version 1.0 and provide a limited support window, after which it will be removed. All consumers will need to upgrade within the window.
C. Force all consumers to upgrade to version 1.1 immediately, providing detailed migration instructions.
D. Create a compatibility layer within version 1.1 that detects the application version and adapts the data access logic accordingly. This would require use of the 'APPLICATION$VERSION' function.
E. Implement a data virtualization layer on the consumer's side, mapping the old schema to the new schema.

Answer: A,D

Explanation:
The best approaches are (B) and (C). Option (B) allows the new version (1.1 ) to handle requests from older versions by adapting its data access logic based on the reported application version. The 'APPLICATION$VERSION' function can be invaluable here. Option (C) maintains two separate application packages. The upgrade process for consumers moving to version 1.1 should include a data migration step. Forcing immediate upgrades (A) is disruptive. Simply deprecating the old version (D) without a smooth transition will upset consumers. Option E places undue burden on the consumer.

NEW QUESTION # 247
You're designing a Snowflake Native Application that leverages Snowpark Container Services (SPCS) and you are creating a CI/CD pipeline for deploying your application to multiple Snowflake regions. As part of the pipeline, you want to automate the creation of a Compute Pool. Which of the following approaches represents the MOST robust and repeatable method for creating the Compute Pool across all regions, considering factors like consistency and potential differences in available instance families?

A. Use a Snowflake Script (SnowSQL) to create the Compute Pool, hardcoding the instance family and other parameters directly into the script.
B. Create a Compute Pool in one region and then clone it to all other regions using the 'CREATE CLONE syntax.
C. Use a Snowflake Script (SnowSQL) to create the Compute Pool, retrieving the available instance families dynamically using 'SYSTEM$GET_CP POLICY' and selecting the appropriate instance family based on regional availability. Store common configurations in environment variables.
D. Compute Pools created are global objects, so the pool automatically exists across all regions.
E. Manually create the Compute Pool in each region using the Snowflake web interface, ensuring the parameters are identical across all instances.

Answer: C

Explanation:
Using a Snowflake Script that dynamically retrieves available instance families ensures consistency and adaptability across different regions. Hardcoding parameters might lead to failures if a specific instance family is unavailable in a region. Cloning is not applicable for Compute Pools. Compute Pools are not global objects and are region specific. The function is key for programmatically determining available instance families for a specific region, enabling robust CI/CD pipelines. This handles regional variations in available resources gracefully.

NEW QUESTION # 248
You are tasked with deploying a new version of your Snowflake Native Application. The new version introduces significant schema changes to the data warehouse used by the application. What steps should you take during the deployment process to ensure a smooth transition and minimize downtime?

A. Immediately replace the existing application version with the new version. Snowflake will automatically handle any schema compatibility issues.
B. Use Snowflake's zero-copy cloning feature to create a copy of the existing database. Apply the schema changes to the cloned database, test thoroughly, and then promote the cloned database to production.
C. Modify the existing tables in place to reflect the new schema. Update your application's code to be compatible with the new schema after the changes are complete.
D. Deploy the new version as a staging version alongside the existing version. Implement data migration scripts to gradually move data to the new schema, and then switch the production traffic to the new version.
E. Notify all users that the application will be unavailable for several hours while the schema changes are applied directly to the production environment.

Answer: B,D

Explanation:
Options B and D are both valid approaches for deploying a new version with schema changes. Option B provides a controlled and gradual migration to the new schema. Option D leverages Snowflake's cloning capabilities to minimize downtime and provide a rollback option. Option A assumes automatic handling of schema changes, which is not correct. Option C results in significant downtime. Option E is risky and can lead to data inconsistencies and application errors if not handled carefully and incrementally. Promoting the clone to production is preferable to modifying in place.

NEW QUESTION # 249
You are designing a Streamlit application within a Snowflake Native App package. This application displays data from a customer's Snowflake account. The application needs to enforce strict data governance policies, ensuring that users only see the data they are authorized to view based on their roles and permissions within the customer's account. Which strategies and Snowflake features should be employed to achieve this?

A. Implement row-level security policies directly within the Streamlit application using Python code to filter the data.
B. Leverage Snowflake's row access policies to automatically filter data based on the user's role and context at the database level.
C. Create separate Streamlit applications for each user role, each with its own data access configuration.
D. Use external tables to fetch the data.
E. Use Snowflake's masking policies to redact sensitive data based on the user's role and context at the database level.

Answer: B,E

Explanation:
Row access policies (B) are the recommended approach for implementing row-level security in Snowflake, as they are applied at the database level and ensure consistent enforcement regardless of the application accessing the data. Masking policies (D) are crucial for redacting sensitive information based on user roles. Implementing data filtering within the Streamlit application (A) is less secure and harder to maintain. Creating separate applications for each role (C) is inefficient and not scalable. External tables are for accessing data outside of Snowflake not controlling access to existing data.

NEW QUESTION # 250
An application provider, 'SecureData Solutions', wants to implement an in-app share within their Snowflake Native App. They intend to share a specific, filtered subset of a provider-owned table with consumers to enhance app functionality without exposing the entire dataset. Which of the following steps are REQUIRED to properly configure and utilize this in-app share?

A. Create a database role in the provider account, grant SELECT privilege on the base table to the role, then create a SHARE and add the role to the SHARE as a privileged principal.
B. Create a secure view on the provider-owned table with the desired filters, create a share in the provider account, grant usage on the database and schema containing the secure view to the share, and then grant SELECT privilege on the secure view directly to the share. Lastly, grant OWNERSHIP on the SHARE to the application role.
C. Create a database role in the provider account, grant SELECT privilege on the filtered view of the table to this database role, and then create a share and grant usage to this role.
D. Create a secure view on the provider-owned table with the desired filters, create a database role in the provider account, grant SELECT privilege on the secure view to this database role, create a share, and grant usage to the role. Lastly, grant OWNERSHIP on the SHARE to the application role.
E. Create a share in the provider account, grant usage on the database and schema containing the table to the share, and then grant SELECT privilege on the filtered view of the table directly to the share.

Answer: B

Explanation:
In-app sharing requires using secure views for filtering. A share is created, and usage rights on the database and schema containing the secure view must be granted to the share. Then, SELECT privilege on the secure view is granted to the share directly. Finally, OWNERSHIP on the SHARE is granted to the application role. Database Roles cannot be directly be granted to share, as shares need access to concrete securable objects, views or tables.

NEW QUESTION # 251
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