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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You've built a Snowflake Native Application that processes data and exposes a set of stored procedures to the consumer. You're implementing a CI/CD pipeline using GitLab CI/CD for deploying updates. Your pipeline includes the following stages: linting, unit testing, integration testing, and deployment to a staging environment. During the integration testing stage, you want to verify that the exposed stored procedures function correctly against a representative dataset. What is the MOST effective approach for performing these integration tests?

A) Create a separate set of stored procedures within the application package specifically for testing purposes. These procedures should mimic the functionality of the production stored procedures and assert their behavior.
B) Provision a dedicated Snowflake testing account with a representative dataset. Install the application version in this account and execute the stored procedures from within the account using Snowflake's SQL API or a Snowpark Python test framework.
C) Mock the Snowflake environment entirely within the GitLab CI/CD runner and execute the stored procedures against the mock environment. This eliminates the need for a live Snowflake connection during testing.
D) Execute the stored procedures directly from the GitLab CIICD runner using a Snowflake connection established with hardcoded credentials in the CI/CD configuration.
E) Use the application's setup script to automatically create a test database populated with sample data when the application is installed. Integration tests can then run queries in this database to ensure the application functions correctly.

2. Consider the following setup script intended to install a Snowflake Native Application in test mode. The application relies on a custom role 'APP ROLE' and a secured view 'SECURE VIEW'. Analyze the script and identify which line, if any, contains a critical error that would prevent successful testing:

A)

B)

C)

D)

E)

3. You are managing a Snowflake Marketplace listing for your native application. You need to update the application logic and schem a. Which of the following actions is the correct sequence to perform the update in a non-breaking way for existing consumers?

A) Deprecate the existing version of the application and force all consumers to upgrade to the new version within 24 hours.
B) Create a patch version with bug fixes and create a new minor version with schema changes, and release it as an upgrade on the Marketplace.
C) Modify the existing application's code and schema, create a new listing for the updated version, and remove the old listing.
D) Directly modify the application's code and schema in the production environment, then announce the changes to consumers.
E) Create a new version of the application with the updated logic and schema, test it thoroughly, and then release it as an upgrade on the Marketplace.

4. 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) 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.
B) Hardcode the environment variables directly into the container image during the Docker build process.
C) Store the environment variables in a publicly accessible cloud storage bucket (e.g., AWS S3) and have the container download them at startup.
D) Use Snowflake's Secrets feature to store the environment variables and reference them in the 'service.yamr file used to define the SPCS service.
E) Utilize Snowflake's external functions to retrieve environment variables directly from a secure third-party vault during container runtime.

5. You are tasked with automating the deployment of your Snowflake Native Application Package to an external stage using a CI/CD pipeline. Your pipeline needs to first build the application package, then securely copy it to an AWS S3 bucket, and finally notify Snowflake about the new package version. Which sequence of steps provides the most secure and efficient approach, assuming you are using infrastructure-as-code principles?

A) 1. Build the application package using 'CREATE APPLICATION PACKAGE. 2. Use AWS CLI with temporary credentials obtained via IAM roles to copy the package files to S3. 3. Execute a SALTER APPLICATION PACKAGE command in Snowflake with the 'EXTERNAL_STAGE' parameter pointing to the S3 location.
B) 1. Build the application package using 'CREATE APPLICATION PACKAGE'. 2. Use AWS CLI with temporary credentials obtained via IAM roles to copy the package files to S3. 3. No need to ALTER the application package because it automatically detects new package versions in the external stage. Consumers receive updates automatically.
C) 1. Build the application package using 'CREATE APPLICATION PACKAGE. 2. Use AWS CLI with temporary credentials obtained via IAM roles to copy the package files to S3. 3. Execute a SALTER APPLICATION PACKAGE command in Snowflake with the 'REFRESH' parameter to update the package metadata.
D) 1. Build the application package using 'CREATE APPLICATION PACKAGE'. 2. Package file are copied to S3 using SNOWFLAKE DEPLOYMENT role's credential. 3. No need to ALTER the application package, it automatically detects new versions in the external stage.
E) 1. Build the application package using 'CREATE APPLICATION PACKAGE'. 2. Use SNOWFLAKE_DEPLOYMENT role's credential to copy the package files to S3. 3. Refresh the APPLICATION using REFRESH command so consumer automatically receive updates.

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