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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are developing a Snowflake Native Application using Python that processes financial transactions. The application relies on external stages for loading transaction dat a. After deploying the application to a consumer account, you observe that the application fails to load data from the stage, resulting in an 'Invalid stage name' error in the consumer's logs. Assume the stage was created and shared correctly. Which of the following steps would BEST help you diagnose the problem and ensure the application works as expected?

A) Verify that the application manifest includes the correct stage definition with the 'privileges' parameter set to 'USAGE on the stage object. Also, within your Python code, use the 'snowflake.connector' to explicitly grant USAGE privilege from the application role to the stage.
B) Ensure the stage definition in the 'manifest.yml' file uses the fully qualified name of the stage (database.schema.stage_name), and verify that the consumer has imported the stage's database and schema into their environment. In Python, use the 'DESC STAGE command via a Snowflake connector to confirm existence and permissions.
C) Redeploy the application with the 'REPLACE' flag to automatically update the stage definition on the consumer side, and confirm that the application has sufficient privileges to access the storage integration associated with the stage. In Python, trap any 'Invalid stage name' exceptions and retry after a short delay.
D) Review the stage properties in both the provider and consumer accounts to ensure the storage integration is correctly configured and accessible from both sides. In the Python code, use the USE ROLE command to explicitly switch to the application's role before accessing the stage.
E) Check the application's deployed version details in the consumer account's Snowflake UI to confirm the 'stage_name' parameter within the application manifest is defined correctly, and then within the Python code, make sure to utilize a fully qualified name when referring to the stage. Use Snowflake logging to write stage information to the event table.

2. You are designing a Snowflake Native Application that involves data sharing with consumers. You want to leverage a custom Python library 'data_transform.py' within your application package to perform specific data transformations on the shared data before it is accessed by consumers. This library contains sensitive logic and should not be directly visible or accessible by the consumer. Which of the following is the MOST secure and appropriate way to package and utilize this 'data_transform.py' library?

A) Store 'data_transform.py' as an internal stage file and read it dynamically into your application's Python code at runtime.
B) Publish 'data_transform.py' as a public Python package on Anaconda and have consumers install it in their Snowflake environment.
C) Package 'data_transform.py' as a user-defined function (UDF) and grant 'USAGE privilege on the UDF to the consumer's role.
D) Embed the contents of 'data_transform.py' directly within the application's stored procedure code as a multi-line string.
E) Include directly within your application package's source code and call its functions from within your application's procedures. Grant necessary privileges on the procedures to the consumer's role, ensuring to only expose the procedures and never the python source.

3. 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) 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';'
C) 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.
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.

4. You are setting up an external stage to host your Snowflake Native Application Package on AWS S3. You've created an IAM role and Snowflake integration. However, when you try to create the application package with 'EXTERNAL STAGE , you receive an error indicating that Snowflake cannot access the S3 bucket. Which of the following could be the potential causes and solutions?

A) The external stage URL is incorrect. Solution: Ensure the URL provided in the 'CREATE APPLICATION PACKAGE EXTERNAL STAGE command is the correct S3 bucket URL.
B) The S3 bucket policy does not allow access from the Snowflake AWS account. Solution: Update the bucket policy to explicitly allow access from the Snowflake AWS account, using the IAM role's principal.
C) The SNOWFLAKE DEPLOYMENT role is not granted access to the Integration object. Solution: Grant USAGE privilege on the Integration to the SNOWFLAKE DEPLOYMENT role.
D) The IAM role does not have sufficient permissions to access the S3 bucket. Solution: Update the IAM role's policy to grant 's3:GetObject' and 's3:ListBuckeV permissions on the bucket.
E) The Snowflake integration object is not correctly configured with the IAM role ARN. Solution: Verify the parameter in the integration object matches the IAM role ARN.

5. You are developing a Snowflake Native Application that leverages user-defined functions (UDFs) and stored procedures. During the security scanning process before listing on the Snowflake Marketplace, you encounter a 'Failed to Detect Secrets' error. After investigation, you determine that the error stems from hardcoded API keys within a Python UDF that are being used to interact with a third-party service. Which of the following strategies would be MOST effective and secure to resolve this issue and pass the security scan?

A) Store the API keys in a separate, secured table within the application's data container and access them dynamically within the Python UDF using SQL queries.
B) Replace the hardcoded API keys with references to Snowflake secrets and grant the necessary privileges to the application role. Access the secrets within the UDF using the 'SYSTEM$GET SECRET function.
C) Encrypt the API keys within the Python UDF using a symmetric encryption algorithm and store the encryption key in a secure string within the application package.
D) Remove the Python UDF entirely and rewrite the logic in SQL stored procedures. Store the API keys as environment variables within the stored procedure's definition.
E) Obfuscate the API keys within the Python UDF using a string manipulation technique. This will make it harder for unauthorized users to discover the keys.

Solutions: