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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

Question 1

A software vendor is developing a Snowflake Native App that provides data enrichment services. As part of the application lifecycle, they need to automate the process of packaging, deploying, and upgrading their application across multiple Snowflake regions. Which of the following approaches provide the MOST efficient and reliable way to automate the deployment and upgrade process for this Native App? Select TWO options.

A. Leverage Snowflake's Native Apps API (if available) to programmatically manage the application package lifecycle.
B. Manually create application packages for each region and upload them to Snowflake using the web interface.
C. Create a custom deployment tool that directly manipulates Snowflake's metadata tables to register the application package.
D. Use Snowflake's CLI (SnowSQL) in conjunction with scripting tools (e.g., Bash, Python) to automate the creation of application packages and deployments.
E. Integrate with CI/CD pipelines, creating packages and updating versions to control the application's deployment and upgrade process.

Question 2

Your Snowflake Native Application provides a data transformation service. A consumer reports slow performance when processing large datasets. Profiling indicates that a specific SQL query within a UDF is the bottleneck. The query aggregates data from a table and uses a custom function to calculate a derived value. Assume the UDF runs with invoker rights. Which of the following strategies, used in combination, would MOST effectively improve the query's performance while adhering to security best practices for native applications and least privileges?

A. Replace the UDF with a materialized view in the consumer's account that pre-computes the derived value, and grant SELECT privilege on the materialized view to the consumer role.
B. Implement caching for the custom function's results using Snowflake's result caching mechanism, rewrite the UDF to use a SQL UDF instead ofa Python UDF, and utilize a data access framework using secure view, which enables the invoker right to be succesfull.
C. Distribute the processing workload by using Snowflake's Snowpark to create a DataFrame, distribute using custom python code and scale out.
D. Rewrite the UDF to use a SQL UDF instead of a Python UDF, grant the necessary privileges to the application's invoker role, and create appropriate indexes on the underlying table in consumer account.
E. Rewrite the UDF to use a SQL UDF instead of a Python UDF, create a secure view exposing only the necessary data, and use clustering on the underlying consumer table.

Question 3

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. 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.
B. Create a shared secret between the provider and consumer accounts and use this secret to authenticate API calls for data access.
C. Use a Snowflake account administrator role to execute all queries within the app.
D. Create a service account within the consumer's Snowflake account and grant the necessary privileges to this account.
E. Expose an API endpoint within the consumer's account that grants access to the data without any restriction.

Question 4

You are designing a Snowflake Native Application that needs to store temporary data for processing, which should be cleaned up when the application is uninstalled from the consumer account. Which of the following options would be the MOST appropriate and secure way to manage this temporary data?

A. Create a temporary stage and use it to persist data. Use a SQL statement in your uninstall script to remove the data from the stage when the application is uninstalled.
B. Create a schema named 'temp' in the application database using the APPLICATION role. The application setup script will create temporary tables inside this schema. Use an uninstall script to drop the entire schema upon uninstall.
C. Create an external stage linked to cloud storage. Store temporary data in cloud storage and implement cleanup logic using an uninstall script.
D. Create a table with a retention period in the application database using the APPLICATION role. Configure the retention period to be very short (e.g., 1 day).
E. Create a temporary table in the application database using the APPLICATION role. The application is responsible for dropping the table when uninstalled.

Question 5

You are developing a Snowflake Native Application that connects to an external API to enrich dat a. To comply with best practices and maintain security posture of your Native App, you decide to manage the API Key as Secret. Which of the following approach are needed to ensure that the Snowflake Native application can securely access the secret?

A. Store the API key using Snowflake's secret management feature and the 'USAGE' privilege to the application's invoker's rights role.
B. Create a secure UDF that retrieves the API Key from an external key management system and grant USAGE privilege on UDF to the application role.
C. Store the API Key as an environment variable within the application container.
D. Store the API Key as a Secret within Snowflake and grant USAGE privilege on the secret to the application role.
E. Store the API Key directly within the application code, encrypting it using AES encryption with a key managed by Snowflake.

Solutions: