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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You've installed a Snowflake Native Application that provides advanced data analytics. The application requires a consumer-defined function (UDF), 'MASK SENSITIVE DATA, to be created in their account and used by the application. The application's setup script includes logic to check for the UDF's existence, but you want to ensure the application gracefully handles the case where the consumer has not yet created the UDF. Which of the following strategies can you implement to improve the application's resilience and provide a better user experience in this scenario? Select all that apply.

A) Require the consumer to create the UDF before installing the application. The application setup script should fail if the UDF is not found, preventing installation.
B) Dynamically generate the application code using a stored procedure, only including the parts of the code that rely on if the function exists. Use 'SYSTEM$GET PRIVILEGES()' to check existence.
C) Implement error handling within the application's code to catch the 'SQL compilation error: UDF does not exists exception. Provide a user-friendly error message and instructions on how to create the UDF.
D) Within the application's SQL code, use the 'TRY FUNCTION' function to call 'MASK SENSITIVE DATA'. If the UDF does not exist, 'TRY FUNCTION' will return 'NULL' instead of raising an error.
E) In the application's setup script, create a placeholder UDF with the same name and signature as 'MASK SENSITIVE DATA' that returns 'NULL'. The application logic can then handle 'NULL' values appropriately until the consumer provides the actual UDF.

2. A developer is building a Snowflake Native App that requires secure storage of sensitive application configuration dat a. Which of the following Snowflake features is the MOST appropriate to use within the application package to manage and secure this data?

A) Snowflake Stored Procedures with 'CALLER rights, encrypting the data within the procedure.
B) Encrypting the data with a customer-managed key (CMK) stored outside of Snowflake and decrypting it within a UDF.
C) Storing the data in a standard Snowflake table within the application package, relying on Snowflake's built-in encryption.
D) Using a Stage to store encrypted configuration files, accessible by the application using external functions.
E) Snowflake Secrets, accessed via SQL commands and managed through object privileges.

3. You are developing a Snowflake Native Application that provides data enrichment services. A consumer reports that a specific query against a view, 'ENRICHED DATA, occasionally returns incorrect results. You suspect a race condition in the underlying stored procedure that populates a temporary table used by the view. Which of the following strategies would be MOST effective in diagnosing and resolving this issue within the application ?

A) Implement logging within the stored procedure to capture the execution flow and intermediate data values. Use 'SYSTEM$GET PREDECESSORS to track dependencies. Analyze the logs to identify the race condition. Use a session table rather than a temp table.
B) Isolate the portion of the stored procedure that writes to the temporary table into a separate stored procedure with 'EXECUTE AS CALLER privileges.
C) Implement a retry mechanism with exponential backoff in the stored procedure to handle potential concurrency issues when writing to the temporary table.
D) Use Snowflake's 'GET_DDL' function to retrieve the SQL definition of the consumer's query and analyze it for potential errors.
E) Replace the temporary table with a permanent table with appropriate locking mechanisms to prevent concurrent modifications. Consumers will need to be notified of a minor version update.

4. A software vendor is developing a Snowflake Native App that provides data enrichment services. As part of the application lifecycle, they need to automate the process of packaging, deploying, and upgrading their application across multiple Snowflake regions. Which of the following approaches provide the MOST efficient and reliable way to automate the deployment and upgrade process for this Native App? Select TWO options.

A) Create a custom deployment tool that directly manipulates Snowflake's metadata tables to register the application package.
B) Use Snowflake's CLI (SnowSQL) in conjunction with scripting tools (e.g., Bash, Python) to automate the creation of application packages and deployments.
C) Manually create application packages for each region and upload them to Snowflake using the web interface.
D) Leverage Snowflake's Native Apps API (if available) to programmatically manage the application package lifecycle.
E) Integrate with CI/CD pipelines, creating packages and updating versions to control the application's deployment and upgrade process.

5. A Snowflake Native App developer is designing the upgrade process for their application. They need to ensure that data stored in the application's managed tables is preserved during the upgrade and that the application remains functional throughout the upgrade process. Which of the following strategies should the developer implement to achieve these goals? (Select TWO)

A) Utilize Snowflake's data sharing capabilities to create a read-only replica of the application's data for the new version to access during the upgrade.
B) Before upgrading, unload all data from the application's tables to cloud storage, and then reload the data into the new version after the upgrade is complete.
C) Design the application's data model to be backward-compatible, allowing the new version to read and write data in the format used by previous versions. Use 'ALTER TABLE to add new columns or modify existing ones without breaking existing functionality.
D) Use the 'DROP TABLE command with the 'CASCADE' option to remove all tables and views before deploying the new version of the application.
E) Implement a versioning system for the application's metadata using the ' APPLICATION VERSION' construct, ensuring that the new version can handle data from previous versions.

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