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Snowflake NAS-C01 Exam Syllabus Topics:

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) 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';'
B) 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.
C) 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';'
D) Create separate application packages for each user group and manage versions independently within each package.
E) 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.

2. You are designing a Snowflake Native App that relies on a specific version of a shared library. You want to ensure that your application continues to function correctly even if the provider of the shared library releases a new, incompatible version. How can you achieve version isolation for your application's dependencies within the Snowflake Native App Framework?

A) Leverage Snowflake's dependency management system to specify a version range for the shared library in your application's setup script.
B) Implement a custom version compatibility check within your application code to gracefully handle potential incompatibilities with newer versions of the shared library.
C) Package the required version of the shared library directly within your application's code bundle, ensuring it is isolated from any external updates.
D) Utilize Snowflake's 'API_INTEGRATION' to create endpoint where you have version control for the shared library.
E) Utilize the ' feature to directly link your application to a specific version of the shared library hosted in an external repository.

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) Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.
B) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
C) 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.
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 Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.

4. 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) 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.
B) Set the application version as 'TRUSTED' using the 'ALTER APPLICATION VERSION' command after installation.
C) 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.
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.

5. You are developing a Snowflake Native Application that uses a custom Python handler to perform data transformations. This handler requires access to a third-party Python package not included in the standard Anaconda environment provided by Snowflake. To ensure the application functions correctly on consumer accounts, what steps must you take? (Select all that apply)

A) Specify the Python package as a dependency in the application's setup script using a install command.
B) Create a stage and upload the python package(s). Then in the Python UDF code, reference the python package from the stage.
C) Include the required Python package in the application package as a zip file using the 'CREATE or REPLACE FUNCTION' command with the 'imports' clause.
D) Use the SALTER FUNCTION' command after installation on the consumer's account to add the required Python package to the function definition. This option is not possible.
E) Instruct consumers to manually install the necessary Python package using 'pip install' in a Snowflake Snowpark Python worksheet after installing the application.

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