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| Section | Weight | Objectives |
|---|
| Application Design & Creation | 35% | - Security and access control - Setup scripts and application logic - Application packages and objects - Native App Framework architecture - Manifest files and configuration
|
| Application Installation & Testing | 20% | - Provider and consumer workflows - Installation procedures and dependencies - Debugging and troubleshooting - Testing strategies and validation
|
| Advanced Features & Management | 20% | - Billing events and cost monitoring - Event logging and telemetry - Governance and compliance - Integration with Snowpark and external services
|
| Application Deployment & Distribution | 25% | - Versioning and release management - Publishing to Snowflake Marketplace - Upgrades and lifecycle management - Listing types and monetization
|
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The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Snowflake certified professional community. In this way, the SnowPro Specialty - Native Apps (NAS-C01) can not only validate their skills and knowledge level but also put their careers on the right track. By doing this you can achieve your career objectives.
Snowflake SnowPro Specialty - Native Apps Sample Questions (Q101-Q106):
NEW QUESTION # 101
You are developing a Snowflake Native Application that relies on external functions (UDFs/UDTFs) for data processing. A new version of your application includes significant changes to these external functions, potentially affecting existing consumer data and queries. How should you manage the upgrade process to minimize disruption and ensure data integrity in consumer accounts? Assume consumers rely on your function names in their queries. Which of the following approach is MOST suitable?
- A. Update the external functions in place with the new logic. Snowflake's versioning will automatically handle any compatibility issues for existing queries.
- B. Use release directives to direct users to an intermediate version that provides a compatibility layer for the external function changes. This layer translates calls to the old function names into calls to the new functions, allowing for a phased transition.
- C. Develop wrapper functions in the new version that call the original external functions with the new logic applied. Consumers can then gradually migrate to the wrapper functions without immediately changing their queries.
- D. Create new versions of the external functions with different names while maintaining the old functions in the new version. Consumers can then migrate to the new functions at their own pace. Use release directives to route new users to new functions.
- E. Rename all the external functions in the new version and instruct consumers to update their queries accordingly after the upgrade.
Answer: B
Explanation:
Option E is the MOST suitable approach. Using release directives to direct users to an intermediate version with a compatibility layer provides a smooth transition. This allows consumers to continue using their existing queries while the compatibility layer translates the calls to the updated external functions. It minimizes disruption and allows consumers to migrate at their own pace. Option A will cause immediate breakage for consumers. Option B is viable and recommended for consumers to migrate to new functions with no compatibility layers. Option C assumes a level of compatibility that may not exist. Option D might work, but it requires all the consumers to gradually migrated and update their functions calls.
NEW QUESTION # 102
You are developing a Snowflake Native Application that provides a data enrichment service. This service requires the consumer to grant the application access to a specific table in their account. You want to ensure that upgrades to your application do not inadvertently break existing consumer configurations. You decide to use a versioned schem a. Which of the following steps are essential during the setup script execution to achieve this and maintain backward compatibility during future upgrades?
- A. Create a versioned schema using 'CREATE SCHEMA VERSION = ' . Grant the application role 'USAGE on this versioned schema, and ensure all application logic references objects within this schema.
- B. Grant the application role 'OWNERSHIP on the consumer's table directly. This allows the application full control and ensures consistent data access regardless of future schema changes within the application.
- C. Create a secure view in the versioned schema that accesses the consumer's table. Grant the application role 'SELECT on this secure view. This provides a stable interface that isolates the application from direct changes to the consumer's table.
- D. Create a new unversioned schema named 'APPLICATION' and install all application objects within it. This provides a consistent namespace for all consumers, regardless of the application version.
- E. Define a custom role within the application package and grant it the necessary privileges to read the consumer's table via a secure view. Then, grant the application role the USAGE privilege on this custom role. This ensures that the application role can assume the custom role's privileges for data access.
Answer: A,C
Explanation:
Options B and D are correct. Creating a versioned schema allows for managing changes in your application's data structures. By creating a secure view and granting the application role 'SELECT on it, you isolate your application from direct modifications to the consumer's table, ensuring backward compatibility. Option A is incorrect because an unversioned schema doesn't address the need for backward compatibility during upgrades. Option C is generally discouraged due to security concerns of granting ownership. Option E, while useful, is not the core reason to use a versioned schema to protect from consumer changes.
NEW QUESTION # 103
A financial services company is developing a Snowflake Native App. It needs to securely access external market data via an API and store the processed results in a consumer-provided table. Considering security best practices and the Snowflake Native App Framework limitations, which of the following approaches represents the MOST secure and recommended implementation for this scenario?
- A. Utilize a Python UDF with the 'external network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer-provided table by using the application role. API key is stored in snowflake secret.
- B. Employ a Snowflake external function, configured with a service account, which invokes an API integration stored in the provider account. The external function returns the data, which is then inserted into a consumer-owned table using a stored procedure and INSERT statements, where the application role has been granted the necessary INSERT privilege.
- C. Utilize a Java UDF with the 'network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer- provided table by using the application role with INSERT privilege granted by consumer.
- D. Use a Snowflake external function with an API integration, configured with a service account that has the necessary permissions to access the API. Store the processed data in a consumer-provided table using stored procedures and INSERT statements using the application role.
- E. Use a Snowflake external function with an API integration that passes the API key as a parameter. Store the processed data in a consumer-provided table using dynamic SQL.
Answer: B
Explanation:
Extemal functions with API integrations are recommended for secure external API access. Using a service account for authentication is a best practice. Stored procedures allow for managed access control to consumer-provided tables. It is safer and allows for managed security. Option E combines these best practices for a secure and robust solution.
NEW QUESTION # 104
A Snowflake Native App developer is designing the upgrade process for their application. They need to ensure that data stored in the application's managed tables is preserved during the upgrade and that the application remains functional throughout the upgrade process. Which of the following strategies should the developer implement to achieve these goals? (Select TWO)
- A. Use the 'DROP TABLE command with the 'CASCADE' option to remove all tables and views before deploying the new version of the application.
- B. Before upgrading, unload all data from the application's tables to cloud storage, and then reload the data into the new version after the upgrade is complete.
- C. Design the application's data model to be backward-compatible, allowing the new version to read and write data in the format used by previous versions. Use 'ALTER TABLE to add new columns or modify existing ones without breaking existing functionality.
- D. Utilize Snowflake's data sharing capabilities to create a read-only replica of the application's data for the new version to access during the upgrade.
- E. Implement a versioning system for the application's metadata using the ' APPLICATION VERSION' construct, ensuring that the new version can handle data from previous versions.
Answer: C,E
Explanation:
Option B correctly describes the use of 'APPLICATION VERSION' to manage metadata compatibility between versions. Option D correctly emphasizes designing for backward compatibility in the data model using 'ALTER TABLE for schema changes, which avoids data loss and ensures a smoother upgrade process.
NEW QUESTION # 105
You are designing a Snowflake Native App that processes sensitive customer dat a. To comply with data residency requirements, you need to ensure the application processes data exclusively within the consumer's Snowflake account and does not transmit data outside.
Which features of the Snowflake Native App Framework support this requirement? (Select all that apply)
- A. Snowflake Marketplace: Provides a secure and governed platform for distributing the application without requiring direct access to the consumer's account.
- B. Secure Data Sharing: Allows the application to access data directly within the consumer's account without copying or moving it.
- C. External Functions: Enables the application to call external services for data processing and enrichment, ensuring all data remains within the Snowflake environment.
- D. Stored Procedures: Allows the application to execute custom logic within the consumer's Snowflake environment, processing data locally.
- E. Application Packages: Package the entire application including code and configuration, ensuring data locality and not data transfer outside environment
Answer: B,D,E
Explanation:
The correct answers are A, D and E. Secure Data Sharing enables direct access to data without movement. Stored Procedures execute logic within the consumer's environment. Application packages ensures everything within the consumer's environment. External Functions (B) inherently involve sending data outside of Snowflake, violating the residency requirement. Snowflake Marketplace (C) is about distribution and governance, not data processing location.
NEW QUESTION # 106
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