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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
|
| Topic 2: Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
|
| Topic 3: Installation, Testing and Troubleshooting | 20% | - Validation and debugging
|
| Topic 4: Native Application Design and Creation | 35% | - Application development workflow
|
Snowflake SnowPro Specialty - Native Apps Sample Questions:
Question #1
You are developing a Snowflake Native Application that includes a Python UDE This UDF needs to interact with an external API that requires authentication using OAuth 2.0. The application package should securely manage the OAuth credentials without exposing them to the consumer account. How can you securely configure and access the OAuth credentials from within the UDF?
A. Configure an OAuth integration in Snowflake and grant the UDF's role access to it, allowing the UDF to obtain tokens using 'SYSTEM$GET OAUTH TOKEN'.
B. Store the OAuth credentials in a secure external storage (e.g., AWS Secrets Manager) and retrieve them using an external function.
C. Use Snowflake's secret management feature to store the OAuth client ID and secret, and access them from the UDF using 'SYSTEM$GET SECRET.
D. Store the OAuth client ID and secret directly in the UDF code as string literals.
E. Store the OAuth client ID and secret in environment variables within the Snowflake environment for the application.
Question #2
You are developing a Snowflake Native Application that processes sensitive dat a. During the application lifecycle management, including version updates, what steps should you take to ensure the data security and privacy of the consumers' data, especially considering that your development team might need access to a subset of the data for testing?
A. Implement data masking and anonymization techniques to create a sanitized test dataset derived from the consumer's data. Provide the development team with access only to the masked data, via data sharing from the producer to consumer account.
B. Utilize Snowflake's external functions to process the data in a secure enclave outside of Snowflake, minimizing the risk of data exposure. Ensure external functions called are encrypted.
C. Grant the development team direct access to the consumer's data warehouse to facilitate testing. Ensure proper auditing is enabled.
D. Use Snowflake's data classification features to identify sensitive data and implement row-level security to restrict access to the development team.
E. Create a separate Snowflake account for testing and populate it with synthetic data that mimics the structure and characteristics of the consumer's data.
Question #3
You are creating a Snowflake Native Application that includes a stored procedure to process sensitive dat a. The procedure needs to access data from a table owned by the application package and write processed data to a table in the consumer's account. The data in the consumer's table must only be accessible by authorized roles within the consumer's account, not directly by the application itself. Which of the following approaches ensures the MOST secure and controlled access to the consumer's data?
A. Implement an API endpoint within the application package that the consumer can call to retrieve the processed data.
B. Store the processed data in an intermediate stage accessible to both the application and the consumer.
C. Grant the 'APPLICATION' role direct 'SELECT and 'INSERT privileges on the consumer's table.
D. Create a secure view on the consumer's table and grant the APPLICATION' role 'SELECT privileges on the view.
E. Use the EXECUTE AS CALLER clause for the stored procedure, requiring the consumer to grant the necessary privileges to a role that executes the procedure.
Question #4
You are developing a Snowflake Native App that needs to be configurable by the consumer during installation. You define parameters in the 'manifest.ymr file. During application installation, the consumer provides values for these parameters. How can you access these parameter values within your application's setup script ('setup.sql')?
A. Parameter values are automatically available as global variables within the 'setup.sqr script. You can reference them directly by their name as defined in the 'manifest.yml'.
B. You must use the 'GET_DDL' function to retrieve the parameter values from the application object definition. The returned DDL string will contain the parameter values, which you need to parse.
C. Use the ' SYSTEM$GET PARAMETER function within the 'setup.sqr script, passing the parameter name as an argument. This function retrieves the current value of the specified parameter for the application.
D. Parameter values are stored in a dedicated table automatically created by Snowflake during application installation. You can query this table using standard SQL to retrieve the parameter values.
E. Parameter values are passed as arguments to the 'setup.sqr script. You need to define input parameters in the script declaration and then access them by their position or name.
Question #5
You are developing a Snowflake Native Application and want to implement a usage-based pricing model. Your application writes usage data to a table 'APPLICATION USAGE' in the provider account. You need to create a listing on the Snowflake Marketplace that charges customers based on the number of processed records. Which of the following steps are crucial to correctly setting up the pricing plan within the listing, ensuring that usage data is properly captured and reflected in the customer's bill?
A. Create a stored procedure in the provider account that aggregates the usage data in 'APPLICATION USAGE' , and then configure the listing to execute this stored procedure at regular intervals to calculate charges.
B. Define a usage-based price metric within the listing that directly queries the 'APPLICATION_USAGE table in the consumer account using a secure view.
C. Establish a Data Exchange between the provider and consumer accounts, sharing the 'APPLICATION_USAGE' table directly. The listing then references this Data Exchange for pricing.
D. Configure a usage-based price metric within the listing, pointing it to a secure view created on top of the 'APPLICATION_USAGE' table, explicitly granted to the 'snowflake' account. The secure view should aggregate usage data.
E. Define a resource monitor on the provider account that tracks resource consumption of the application, and use this as the basis for pricing. This requires no customer interaction.
Solutions:
| Question #1 Correct Answer: A,C | Question #2 Correct Answer: A,E | Question #3 Correct Answer: E | Question #4 Correct Answer: C | Question #5 Correct Answer: D |


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