Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You're developing a Snowflake Native App that interacts with a REST API. The API key needs to be securely stored and accessed within your application. Which of the following approaches provide the MOST secure and manageable way to handle the API key?

A) Use Snowflake Secrets to store the API key securely and grant access to the APPLICATION role. Then, access the secret within your Stored Procedure or UDF.
B) Store the API key in a secure vault (e.g., HashiCorp Vault) and use an external function to retrieve the key at runtime. Implement appropriate authentication and authorization for the external function.
C) Store the API key directly in the application code as a constant variable.
D) Store the API key in a separate configuration file uploaded to a stage, encrypting the file with a symmetric key hardcoded in the application.
E) Store the API key as an environment variable in the Snowflake environment.

2. You are developing a Snowflake Native Application that leverages a UDF to perform complex data transformations. During provider-side testing in test mode, you encounter an intermittent error within the UDF. Which of the following strategies are MOST effective in debugging this issue within the limitations of test mode, considering you cannot directly access the consumer's Snowflake account or granular execution logs?

A) Leverage Snowflake's query profiling tools on the provider side against the application's data-sharing objects to identify performance bottlenecks or unexpected behavior within the UDF's execution plan. (Assume data sharing objects are set up for provider side testing)
B) Utilize 'SYSTEM$LOG' within the UDF to output detailed execution information to the application's event table. Analyze these logs after triggering the error in test mode.
C) Implement rigorous input validation within the UDF to catch potential data inconsistencies that might be causing the error. Ensure informative error messages are returned for debugging purposes.
D) Simulate the consumer environment as closely as possible on the provider side by creating a separate Snowflake account with similar data volumes and configurations, then install the application in test mode in that account.
E) Use the ALERT' functionality to send notifications to the provider's account whenever the UDF encounters the error, allowing for real-time monitoring of the application's behavior.

3. You are the developer of a Snowflake Native App, and you're designing a feature that allows consumer accounts to create custom reports based on data exposed by the application. These reports will be defined using SQL queries and stored as views within the consumer's account, referencing objects (tables, views) provided by the application. The application does NOT want to provide direct 'SELECT access on underlying application's tables. How can you enable this feature while adhering to best practices for security and access control within the Snowflake Native App Framework? (Select all that apply)

A) Grant the 'SELECT privilege directly on the application's underlying tables to a role in the consumer account.
B) Expose secure views within the application package. Consumer accounts can then create views in their account that reference these secure views.
C) Implement a UDF that constructs and executes the user's SQL query against the application's data and returns the results.
D) Utilize Data Sharing to share the underlying tables directly with the consumer account.
E) Create stored procedures that execute 'CREATE VIEW' statements in the consumer's account, controlled by parameters passed from the consumer, using EXECUTE AS OWNER.

4. You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?

A) Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
B) Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.
C) Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.
D) Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
E) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.

5. You are developing a Snowflake Native App that needs to persist state information between different invocations. The app requires tracking of user preferences, processing progress, and other runtime dat a. Which of the following options are viable and secure methods for persisting this type of state information within the context of a Snowflake Native App?

A) Using the application provider's own Snowflake account to store state information associated with each consumer.
B) Using internal stages and secured views in consumer account to persist state information.
C) Using secure external stages managed by the application provider to store the consumer-specific state information.
D) Storing state information within the application package itself by updating the package version with each state change.
E) Using temporary tables within the consumer's account to store state information. The tables are dropped when the app is uninstalled.

Solutions: