NAS-C01 Quiz Torrent: SnowPro Specialty - Native Apps - NAS-C01 Exam Guide & NAS-C01 Test Bootcamp

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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. Version upgrades and release management 2. Marketplace listings and publishing
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 Sample Questions (Q222-Q227):

NEW QUESTION # 222
You are developing a Snowflake Native Application that uses a custom Python handler to perform data transformations. This handler requires access to a third-party Python package not included in the standard Anaconda environment provided by Snowflake. To ensure the application functions correctly on consumer accounts, what steps must you take? (Select all that apply)

A. Instruct consumers to manually install the necessary Python package using 'pip install' in a Snowflake Snowpark Python worksheet after installing the application.
B. Use the SALTER FUNCTION' command after installation on the consumer's account to add the required Python package to the function definition. This option is not possible.
C. Create a stage and upload the python package(s). Then in the Python UDF code, reference the python package from the stage.
D. Include the required Python package in the application package as a zip file using the 'CREATE or REPLACE FUNCTION' command with the 'imports' clause.
E. Specify the Python package as a dependency in the application's setup script using a install command.

Answer: C,D

Explanation:
Snowflake Native Applications cannot rely on consumers manually installing dependencies or executing arbitrary shell commands for security reasons. Including the Python package as a zip file via the 'imports' clause within the 'CREATE or REPLACE FUNCTION' command ensures that the dependency is automatically available when the Python handler is executed within the application environment on the consumer's account. Option C is not a valid command and not permissible in Snowflake. Also, consumers cannot use alter after the installation, Hence it will not work. A and D are the correct choices.

NEW QUESTION # 223
You are tasked with developing a Snowflake Native App that leverages a Partner provided secret using an external function which will send the processed data to their system. You plan to store the OAuth information to be used by the external function in a secret object managed by Snowflake. Which of the following steps are NECESSARY to ensure secure and correct setup of this app? Select all the options that apply.

A. Create a Secret object in Snowflake to store the OAuth token securely and reference it within the external function using 'SYSTEM$GET_SECRET function. Ensure proper access rights on the Secret object.
B. Grant the 'IMPORTED PRIVILEGES privilege on the database containing the Secret object to the application role. GRANT IMPORTED PRIVILEGES ON DATABASE TO APPLICATION ROLE '
C. Grant the 'USAGE privilege on the API integration to the application role if the external function requires an API integration. GRANT USAGE ON API INTEGRATION TO APPLICATION ROLE
D. Bypass storing the OAuth token in Snowflake and instead rely on passing it as a parameter to the external function from the consumer account, documented clearly for the consumer's security responsibilities.
E. Store the OAuth token directly within the external function's definition as a variable, ensuring it is encrypted using AES ENCRYPT before deployment.

Answer: A,B,C

Explanation:
Storing the OAuth token directly in the function (A) is insecure. Passing the OAuth token from the consumer (E) is not a recommended practice. The correct approach is to use Snowflake's Secret object (B) to store the token securely. The application role needs 'IMPORTED PRIVILEGES on the database containing the secret (C) to access the secret. The 'USAGE privilege on the API integration(D) is also needed if the external function leverages an API integration.

NEW QUESTION # 224
You are developing a Snowflake Native App that provides data enrichment services to consumer accounts. The app requires access to both a secure internal API (accessible only within your provider account) and the consumer's data warehouse. Which of the following components and configurations are necessary to facilitate this access while adhering to Snowflake's security best practices?

A. A Java UDF defined in the application package uses JDBC connection to access a secure internal API endpoint. The consumer grants USAGE privilege to the application on their schemas.
B. A Snowpark function that leverages the SNOWFLAKCORE.AUTHZ.PASS PRIVILEGES() function with the application role executing the code. The app requires the consumer to create a shared secret to access their API.
C. A Python UDF defined in the application package that connects to the secure internal API using a secured API integration with allowed egress network policy that only allows connections from the app's deployment region. The consumer shares their database with the provider account through a data sharing arrangement.
D. A UDF (User-Defined Function) defined in the application package that invokes the secure internal API using a secured API integration, and grants OWNERSHIP on it to the APPLICATION role. The consumer grants USAGE on their database to the application role.
E. A Stored Procedure defined in the application package that invokes the secure internal API via network rule with outbound traffic allowed only for the app, and utilizes a reader account to securely query the consumer s data with the use of SNOWFLAKE.CORE.AUTHZ.PASS_PRIVILEGES().

Answer: D

Explanation:
Option A is the most secure and correct approach. A UDF allows for encapsulated logic, a secured API integration handles authentication and authorization to the internal API, application role owns the function, and the consumer grants USAGE to the application, limiting access. Option B is less secure, reader account and SNOWFLAKE.CORE.AUTHZ.PASS_PRIVILEGES() are not required. Option C is flawed as data sharing is not the recommended way for native app to consume customer data. Option D - Java UDFs with JDBC is not best practice, not supported, not secure. Option E - shared secret and SNOWFLAKE.CORE.AUTHZ.PASS PRIVILEGES() are not the right approach.

NEW QUESTION # 225
A data science company is developing a Snowflake Native App that provides advanced fraud detection for financial institutions. The app requires secure access to sensitive transaction data within the consumer's Snowflake account. Which of the following approaches BEST aligns with Snowflake's recommended practices for managing data access and securing data within a Native App?

A. The app should request full ACCOUNTADMIN privileges in the consumer account to access all necessary data for fraud detection.
B. The app should create and manage its own temporary tables in the consumer account and load transaction data into them for processing.
C. The app should use secure views created by the consumer that grant the app read-only access to only the specific transaction data needed for fraud detection.
D. The app should directly access transaction data through data sharing from provider account.
E. The app should directly access tables containing transaction data using the consumer's own service account credentials, which are securely stored within the app's code.

Answer: C

Explanation:
Using secure views is the best approach. Secure views allow the consumer to control precisely whatdata the application can access without granting overly broad permissions. This minimizes the risk of unintended data exposure and adheres to the principle of least privilege. ACCOUNTADMIN is excessive and insecure. Storing credentials is also insecure and against best practices. Creating temporary tables and loading data duplicates data and can be inefficient.

NEW QUESTION # 226
You have successfully deployed your Snowflake Native Application Package to an external stage (AWS S3), but consumers are reporting they are not receiving updates after you deploy new versions to the external stage. You have verified that the IAM role, Snowflake integration, and S3 bucket policy are correctly configured. What steps should you take to troubleshoot and resolve this issue?

A. Execute the 'ALTER APPLICATION PACKAGE REFRESH' command after each deployment to the external stage. This explicitly informs Snowflake to refresh the application package metadata.
B. Verify that the SNOWFLAKE DEPLOYMENT role has been granted ownership of the Integration object used for accessing the external stage.
C. Consumers must manually refresh their installed application instance using the command 'ALTER APPLICATION REFRESH;' after a new package version is deployed.
D. Ensure the S3 bucket has versioning enabled. Snowflake relies on S3 versioning to detect new application package versions.
E. Grant the APPLICATION ROLE to the SNOWFLAKE DEPLOYMENT role on the application package. This allows the deployment process to automatically update the consumer instances.

Answer: A,C

Explanation:
To ensure consumers receive updates after deploying new versions, the APPLICATION PACKAGE metadata must be refreshed, and consumers must update their application instances. Executing 'ALTER APPLICATION PACKAGE REFRESH' after each deployment (B) updates the Snowflake metadata about the available package versions. Consumers must then refresh their instance using 'ALTER APPLICATION REFRESH;' (C) to pick up the new version. S3 versioning (A) is not directly related to the update process in Snowflake Native Applications, and the APPLICATION ROLE(D) and ownership of integration (E) do not affect update distribution.

NEW QUESTION # 227
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