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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that uses a Stored Procedure to orchestrate complex data processing tasks. This stored procedure is defined within the application package. When testing in test mode, which of the following security considerations are paramount to ensure the procedure executes correctly and securely, without unintentionally granting excessive privileges to the consumer?

A) Ensure that any roles granted to the application role also have the necessary privileges to execute the stored procedure, and access the objects it interacts with. The stored procedure must be defined with 'EXECUTE AS CALLER.
B) Create a dedicated service user specifically for the application and grant only the necessary privileges to this user. The stored procedure should then execute with the privileges of this service user using the 'EXECUTE AS CALLER clause. This allows granular access control.
C) Define the stored procedure with the 'EXECUTE AS OWNER clause. This ensures the procedure always runs with the privileges of the application owner, regardless of the caller's permissions.
D) Grant the 'EXECUTE' privilege on the stored procedure to the 'PUBLIC' role during test mode. This simplifies testing but should be revoked before publishing the application.
E) Since the application is running in test mode, security is not a major concern. Granting all necessary privileges directly to the application role simplifies testing without compromising the consumer's security.

2. You are preparing to publish a Snowflake Native Application on the Snowflake Marketplace. Your application requires several external functions (UDFs) that need to be securely called. Which of the following steps are crucial to correctly configure these external functions within your application package to ensure they function as expected after installation by consumers?

A) Define external functions with 'VOLATILE keyword to bypass security restrictions. As it needs to be executed during installation, define it in application setup scripts and the API integration object's details will be automatically configured at the consumer end.
B) Set the application version as 'TRUSTED' using the 'ALTER APPLICATION VERSION' command after installation.
C) Ensure that the external functions are defined using the 'SECURE' keyword and that the API integration object associated with the functions is included in the application package setup script.
D) Grant the ' USAGE privilege on the API integration object to the application role used by the consumer. This will be automatically inherited when the consumer installs the application.
E) Provide clear documentation for the consumer to manually configure the API integration object in their Snowflake account after installing the application.

3. 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) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
E) 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.

4. You are tasked with automating the creation of Snowflake Marketplace listings for several Native Applications. The application metadata, pricing tiers, and listing descriptions are stored in a JSON file. Which Snowflake feature(s) or approach would best facilitate the automated creation and management of these listings?

A) Leverage Snowflake's REST API (if available) to programmatically create and manage listings based on the JSON data. Utilize 'SYSTEM$COREATE_PARKETPLACE_LISTING' function.
B) Utilize the Snowflake UI's 'Create Listing' wizard, manually entering the data for each application from the JSON file.
C) Develop a custom Python script that uses the Snowflake Connector for Python to execute SQL commands to create and configure listings by parsing data from the JSON file.
D) Use the Snowflake CLI (if available) along with a scripting language like Bash to automate the listing creation process.
E) Directly upload the JSON file to a Snowflake stage and use a stored procedure to parse the JSON and create listings using SQL commands.

5. A company publishes a Snowflake Native Application on the Snowflake Marketplace providing aggregated sales dat a. They want to ensure data is fresh and updated daily at 00:00 UTC. They are considering several approaches to automate this data refresh process.
Which of the following methods are MOST effective and SECURE for scheduling and executing this daily data update within the Snowflake Native Application environment? Choose two.

A) Implement a Java-based scheduler within the Snowflake Native Application itself using UDFs, triggered by an external service via API integration.
B) Use Snowflake Tasks scheduled to run daily at 00:00 UTC to execute a stored procedure within the Native Application that updates the data.
C) Utilize a cron job on a virtual machine to execute a SQL script via SnowSQL, connecting to Snowflake and refreshing the data.
D) Leverage Snowflake's Data Marketplace update scheduling feature (if available and applicable to their type of listing) to automatically refresh the data.
E) Schedule a Python script using an external task service (e.g., AWS Lambda) that connects to Snowflake and executes the data refresh procedure.

Solutions: