Snowflake SnowPro Core Certification NAS-C01

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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Native App provider wants to implement comprehensive monitoring of their application's behavior within consumer accounts. They decide to use Event Tables to capture various application events. Which of the following strategies is the MOST appropriate for designing and managing Event Tables for this purpose? Select ALL that apply.

A) Create separate Event Tables for each distinct event type, with columns tailored to the specific data associated with each event.
B) Use a centralized Event Table that is shared across all consumer accounts to simplify data aggregation and analysis.
C) Implement a data retention policy to automatically purge older events from the Event Tables, minimizing storage costs and improving query performance.
D) Utilize dynamic table creation based on the type of event being recorded, ensuring optimal storage and query performance for each event type. Dynamic table creation is managed programmatically.
E) Create a single, generic Event Table with a VARIANT column for event-specific data to accommodate all event types.

2. You are developing a Snowflake Native Application that uses Streamlit for its user interface. The application needs to access a custom Python module named 'my_module' which resides within your application package. You have correctly packaged the module. However, when running the Streamlit application, you encounter an 'ImportError: No module named What is the most likely reason for this error and how can you resolve it?

A) The Streamlit application is not aware of the application package's Python environment. You need to set the environment variable within the Streamlit application to point to the directory containing 'my_module'.
B) The correct handler is not specified in the 'manifest.ymr file.
C) The 'my_module' is not located in the correct directory structure within the application package. Ensure it's placed in the 'src' directory (or the directory specified in 'package-name' in 'setup.py') and the directory structure mirrors the package structure required for import.
D) The 'my_module' is not included in the file for your application package. Add it to the 'packages' list in 'setup.py'.
E) Streamlit does not support custom Python modules within Snowflake Native Applications. You must use only built-in Python modules or those available through Anaconda.

3. You are developing a Snowflake Native Application that requires configurable settings for different customer environments. These settings include API endpoint URLs, authentication keys, and resource limits. You want to allow the consumer to configure these parameters during installation. Which of the following options are valid methods for securely and effectively handling these configurations in a Snowflake Native App?

A) Expose configuration parameters as secure UDFs (User-Defined Functions) that the consumer can modify after installation. This allows for dynamic adjustments without direct access to internal application logic.
B) Utilize the 'SNOWFLAKE.ACCOUNT_USAGE schema to store configuration values. This ensures high availability and scalability, as it leverages Snowflake's managed infrastructure.
C) Store configuration parameters directly in the application code as environment variables. This simplifies initial setup and reduces dependencies on external services.
D) Implement configuration tables within the application's shared data, secured by appropriate grants and roles, and provide a setup script that the consumer can execute to populate these tables with their desired values. Use secure views to access this configuration data.
E) Create a dedicated Snowflake stage for configuration files. Consumers can upload their configuration files to this stage during installation, and the application reads these files upon startup.

4. You're developing a Snowflake Native Application that requires frequent updates to its core logic. You need to implement a deployment strategy that minimizes downtime and allows for easy rollback in case of issues. Which combination of deployment techniques would BEST achieve this goal when deploying updates to your Snowflake Native App? (Choose two)

A) Implement canary deployments by gradually rolling out the new version to a small subset of consumers, monitoring performance, and then expanding the rollout if no issues are detected.
B) Deploy the updated application directly to the production environment during off-peak hours, relying on thorough testing in a pre-production environment to minimize risks.
C) Utilize zero-copy cloning to create a staging environment of your application, deploy the new version to the clone, and then swap the clone with the production environment for near-instant deployment.
D) Implement a blue/green deployment strategy, maintaining two identical environments. Deploy the update to the 'blue' environment, test, and then switch traffic from 'green' to 'blue'. If issues arise, switch back to 'green'.
E) Use the ALTER APPLICATION' command with the 'FORCE option to immediately replace the existing application with the new version, ignoring any potential compatibility issues.

5. Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.

A) Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.
B) Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
C) Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.
D) Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.
E) Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.

Solutions: