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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are packaging a Snowflake Native App that includes a Streamlit application. You need to define specific permissions for the application to access data in the consumer's account. Specifically, the application needs to read from a table named in the schema within the consumer's database 'consumer_db'. Which of the following steps are required to correctly grant these privileges during the application installation process?

A) In your manifest file ('manifest.yml'), declare a 'privileges' section specifying 'SELECT' privilege on 'consumer_db.consumer_schema.consumer_data' for the app_role' .
B) Use the 'snowflake.permissionss module within your Streamlit application to dynamically request the 'SELECT privilege on 'consumer_db.consumer_schema.consumer_data' when the application starts. Display an error message if the privilege is not granted.
C) The consumer must manually grant the 'SELECT privilege on 'consumer_db.consumer_schema.consumer_data' to the application's install-time role after the application is installed. No action is needed within the application package.
D) Create a secure view in the consumer's account that selects from and grant 'SELECT on the secure view to the application role. This requires coordination with the consumer.
E) In your setup script ('setup.sql'), execute 'GRANT SELECT ON TABLE consumer_db.consumer_schema.consumer_data TO APPLICATION ROLE app_role;' where 'app_role' is the application role defined in your application package.

2. 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) Execute the stored procedures directly from the GitLab CIICD runner using a Snowflake connection established with hardcoded credentials in the CI/CD configuration.
B) 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.
C) 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.
D) 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.
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.

3. You are developing a Snowflake Native Application that needs to be deployed across multiple Snowflake accounts. The application includes a setup script that creates several tables and stored procedures. However, some consumers might have naming conflicts with the objects created by your setup script. Which of the following strategies can you use to minimize naming conflicts and ensure smooth application deployment? (Select all that apply)

A) Prefix all objects created by the setup script with a unique, application-specific identifier.
B) Instruct consumers to drop any conflicting objects before installing the application.
C) Utilize the 'CREATE OR REPLACE syntax for all objects in the setup script to overwrite any existing objects.
D) Package all application objects into a dedicated schema within the consumer's database.
E) Dynamically generate object names within the setup script using the application's name and a random suffix.

4. You're packaging a Snowflake Native Application that performs complex analytical computations on data within the consumer's account. This computation involves several intermediate tables and functions, all created within the application package. You want to optimize the application's performance and reduce storage costs in the consumer's account. Which of the following strategies can be employed to achieve these goals, especially considering that intermediate data is not intended to be directly accessible to the consumer?

A) Create all intermediate tables as standard permanent tables, relying on Snowflake's automatic data compression and storage optimization features to minimize costs. Grant limited privileges to the consumer to control data access.
B) Create all intermediate tables as transient tables. Transient tables do not support Time Travel or Fail-safe, which reduces storage costs, and grant appropriate privileges to application roles.
C) Implement data pruning techniques within the application's logic to delete intermediate data as soon as it is no longer needed, even if permanent tables are used for intermediate steps.
D) Use external tables to store the intermediate results in cloud storage (e.g., AWS S3), accessed through a secure integration. This minimizes the storage footprint within the consumer's Snowflake account.
E) Create all intermediate tables as temporary tables. Temporary tables are automatically dropped at the end of the session, minimizing storage costs and ensuring data privacy.

5. You have a Snowflake Native Application that utilizes a managed table. After upgrading your application to version 2.0, some users report that they are missing data in the managed table. After investigation, you realize version 2.0 changed the schema of the managed table and also did not properly migrate all the data from old format into new format. Which of the following steps should be taken to address the missing data after upgrading a Snowflake Native Application?

A) Create a new version 2.1 that includes a data migration script to transfer data from the old schema (as it existed in version 1.0) to the new schema in version 2.0. Use release directives to upgrade affected users to version 2.1 after staging.
B) Create a new version 2.1. Within version 2.1's setup script, dynamically detect if the application is an upgrade from 1.0 and, if so, execute the data migration script to transfer data from the old schema to the new schema.
C) Since managed tables are fully managed by Snowflake, contact Snowflake support to initiate a data recovery process in each affected consumer account.
D) Manually insert the missing data into the managed table in each consumer's account, contacting affected users to coordinate the data entry.
E) Rollback all users to version 1.0 and then perform the schema migration directly on the consumer's account using custom SQL scripts.

Solutions: