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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application that provides data enrichment services. You want to implement a phased rollout of a new version to your users. You have three distinct user groups: 'EarlyAdopters', 'StandardUsers', and 'CriticalUsers'. You need to use release directives to manage the upgrade process, ensuring that 'EarlyAdopters' receive the new version first, followed by 'StandardUsers' after a week of monitoring, and finally 'CriticalUsers' two weeks after that. Which of the following approaches is the MOST effective way to achieve this using Snowflake Native App release directives?

A) Create separate application packages for each user group and manage versions independently within each package.
B) Use release directives within a single application package to control version availability based on the application role. Create separate roles for each user group and grant them appropriate privileges.
C) Use release directives with tag-based versioning. Tag each user account with a tag indicating their user group (e.g., 'user_group = 'EarlyAdopters"). Then, use the 'STAGE_VERSIONS' clause in the 'ALTER APPLICATION' command to associate versions with these tags, specifying a different activation time for each tag. For example: 'ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'EarlyAdopters' ACTIVATE_AT = '2024-01-01 00:00:00'; ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'StandardUserS ACTIVATE_AT = '2024-01-08 00:00:00';'
D) Use the SALTER APPLICATION' command with the 'STAGE VERSIONS clause to explicitly assign specific versions to each user group based on their tag values. For example: 'ALTER APPLICATION my_app STAGE_VERSIONS versioni .1 FOR TAG user_group = 'EarlyAdopters';'
E) Implement a custom upgrade mechanism within your application logic, querying a configuration table to determine which version each user should receive. This table is updated based on a predefined schedule.

2. You are developing a Snowflake Native Application that manages customer accounts. In version 1.0, you had a table named 'CUSTOMER_ACCOUNTS with columns 'ACCOUNT D', 'CUSTOMER NAME, and 'EMAIL'. You are now releasing version 2.0, which requires adding a new column 'PHONE NUMBER to the 'CUSTOMER ACCOUNTS table, but you need to ensure backward compatibility and allow seamless upgrades for existing installations. Which of the following approaches within the 'setup.sqr file is the MOST robust and reliable to implement this schema change without disrupting existing users?

A)

B)

C)

D)

E)

3. A Native Application provider is developing an application that relies on data residing in a shared database, 'EXTERNAL DATA'. They want to ensure that their application role 'app_role' only has access to specific tables and views within 'EXTERNAL DATA', and they also want to minimize the need for future privilege grants as new tables are added to 'EXTERNAL DATA. Which combination of SQL statements below achieves these goals with the principle of least privilege in mind? Assume all tables are in the PUBLIC schema.

A)

B)

C)

D)

E)

4. You are developing a Snowflake Native App. Your app needs to interact with the consumer's Snowflake account to retrieve dat a. You want to ensure that your app only has access to the necessary data and that the consumer can control the data access. Which of the following methods is the MOST secure and recommended way to achieve this?

A) Create a service account within the consumer's Snowflake account and grant the necessary privileges to this account.
B) Create a shared secret between the provider and consumer accounts and use this secret to authenticate API calls for data access.
C) Expose an API endpoint within the consumer's account that grants access to the data without any restriction.
D) Use a Snowflake account administrator role to execute all queries within the app.
E) Utilize Snowflake's secure data sharing feature combined with granular access control policies (row access policies, masking policies) within the provider's app, granting access to specific views or tables.

5. 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) 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.
B) 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.
C) 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.
D) 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.
E) 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.

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