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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 processes sensitive financial data. You need to implement robust logging and auditing to comply with regulatory requirements. Which of the following strategies would provide the MOST secure and comprehensive auditing and logging solution within the context of a Snowflake Native App?

A) Rely solely on Snowflake's ACCOUNT_USAGE views and information schema tables within the consumer account.
B) Implement logging to an external service such as AWS CloudWatch or Azure Monitor, streaming data directly from UDFs using external functions. Implement data redaction within the UDFs before sending data externally.
C) Use Snowflake's stages to write the event logs and then create the external table on top of it to process the data.
D) Utilize Snowflake's Event Tables to capture application events. Ensure proper role-based access control is in place to restrict access to the event data within the provider account. Masking and Row Access policies should be applied before writing to event tables.
E) Implement custom logging using UDFs that write directly to a table accessible only within the provider account. Use masking policies to protect sensitive data before logging.

2. A data science team is developing a Native App on Snowflake that requires access to data from multiple customer accounts (Reader Accounts). They need to ensure strict data governance and minimize the risk of data leakage. Which of the following approaches provides the MOST secure and scalable solution for accessing and managing this cross-account data?

A) Grant SELECT privileges directly to the application role on all relevant tables in the consumer accounts.
B) Implement a data access service within the Native App that uses external functions to query data from consumer accounts, relying on network policies for security.
C) Package the data extraction logic directly into the Native App using User-Defined Functions (UDFs) that establish secure connections to each consumer account using separate credentials stored securely within the application package.
D) Create a shared database from each consumer account containing views over the required tables, granting SELECT privileges on these views to the application role.
E) Utilize secure data sharing with data clean rooms, exposing the required datasets via views on each data clean room.

3. Your team is building a Snowflake Native App that uses a UDF (User-Defined Function) for data enrichment. The UDF needs to access an external API key. Which of the following approaches are valid and secure methods for providing the API key to the UDF within the Native App framework?

A) Store the API key using Snowflake's Secret Management feature and grant the UDF access to the secret.
B) Store the API key in a database table within the consumer's account and grant the UDF access to that table.
C) Use a secure parameter in the MANIFEST.yml and access it within the UDF.
D) Pass the API key as a parameter to the UDF when it's called.
E) Store the API key directly in the UDF's code.

4. You are developing a Snowflake Native App that will be listed on the Snowflake Marketplace. The application requires a specific version of a Python library that may conflict with other libraries used by consumers. How can you ensure that your application uses the correct library version without causing conflicts in the consumer's environment?

A) Modify the consumer's 'PYTHON PATH' environment variable upon installation to include the location of your application's Python libraries.
B) Rely on Snowflake's automatic dependency resolution to identify and install the correct version of the Python library in the consumer's environment.
C) Bundle the required Python library with your application package and utilize Anaconda packages support to manage dependencies, ensuring isolation from the consumer's environment.
D) Instruct consumers to manually install the required Python library version in their Snowflake environment before installing your app.
E) Package all application logic into a single SQL UDF to avoid Python dependency issues entirely.

5. You are tasked with deploying a Snowflake Native Application that performs real-time data analysis. The application requires a warehouse to run and a user with specific privileges to access dat a. You want to automate the deployment process as much as possible, including warehouse creation, user provisioning, and privilege granting, all within the application package. Given the security considerations and best practices for Snowflake Native Applications, which of the following approaches is the MOST secure and recommended?

A) Employ a secure deployment pipeline that leverages a separate, pre-authorized Snowflake account to provision the warehouse and useL The application package then only includes the application logic, assuming the resources already exist.
B) Include a SQL script within the application package that uses the 'CREATE WAREHOUSE, 'CREATE USER , and 'GRANT commands to create the warehouse, user, and grant necessary privileges. The script will be executed by the consumer upon installation.
C) Request the consumer to manually create the warehouse and user with the required privileges before installing the application. Provide detailed instructions in the application documentation.
D) Utilize the 'INSTALL' privilege when creating the application package and execute the SQL script (containing 'CREATE WAREHOUSE, 'CREATE USER , and 'GRANT) within the application's setup script using the 'EXECUTE IMMEDIATE command. This allows the application to create resources within the consumer's account.
E) Use a setup script within the application package, granting it the 'APPLY APPLICATION PASSTHROUGH PRIVILEGES privilege. This will enable the application to inherit the privileges of the user who installed the application, allowing it to create the warehouse and user on their behalf.

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