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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Snowflake Native Application, leveraging Snowpark Container Services (SPCS), is designed to perform complex data transformations on data residing within the customer's Snowflake account. The transformations require significant computational resources, and the container occasionally encounters resource constraints, leading to performance degradation. Which of the following strategies can you employ to optimize resource utilization and ensure the container runs efficiently within the customer's SPCS environment?

A) Rewrite the data transformation logic to utilize Snowflake's built-in SQL functions and stored procedures whenever possible. Move the transformation workload out of the container.
B) Increase the memory and CPU limits specified in the 'spec.yaml' file for the Snowpark Container Services deployment. This provides the container with more resources within the allocated compute pool.
C) Increase the size of the virtual warehouse associated with the SPCS compute pool. This directly provides more computational resources to the container.
D) Implement horizontal scaling within the container by deploying multiple replicas of the application and distributing the workload among them using a load balancer. The consumer must configure the number of replicas.
E) Optimize the container image by removing unnecessary dependencies and libraries, reducing its overall size and startup time.

2. You are publishing a Snowflake Native Application to the Marketplace. You've completed initial testing, and the application appears to function as expected. However, the security scan consistently fails with a 'Data Exfiltration' error. The application includes a stored procedure that aggregates data from several tables within the application container and writes the results to an external stage using the 'COPY INTO' command. Review the following code snippet:

Which of the following changes is MOST likely to resolve the 'Data Exfiltration' error during the security scan?

A) Remove the 'GRANT EXECUTE privilege on the 'export_data' procedure from the 'app_public' role.
B) Modify the stored procedure to only export data to a table within the application container instead of an external stage.
C) Encrypt the data written to the external stage using client-side encryption with a key managed by the application provider.
D) Require the consumer to explicitly grant the application usage privilege on a secure external stage controlled by the consumer, and modify the procedure to validate the stage's existence and permissions before exporting data.
E) Implement row-level security policies on the 'aggregated_data' table to restrict access to sensitive rows.

3. A developer is creating a Snowsight dashboard to monitor the performance of a Snowflake Native App. They want to display a real-time graph of the number of API calls made to the app per minute. The app logs each API call to a Snowflake table named 'APP LOGS' with a timestamp column named 'CALL TIMESTAMP'. Which of the following SQL queries, when used within a Snowsight chart, would MOST accurately achieve this?

A)

B)

C)

D)

E)

4. You are building a Snowflake Native Application that offers a data enrichment service. You want to automate the fulfillment of new customer trials. When a customer installs your application from the Marketplace, you want to automatically provision them with a limited dataset and compute resources for a 30-day trial period. Which of the following Snowflake features and implementation steps are essential for achieving this auto-fulfillment strategy? (Choose two)

A) Implement a webhook endpoint within your Native Application that listens for installation events from the Snowflake Marketplace and triggers the provisioning process.
B) Utilize Snowflake's External Functions to call an external auto-fulfillment service (e.g., AWS Lambda) that handles the provisioning logic.
C) Leverage Snowflake's Marketplace Auto-Fulfillment API to automatically create a dedicated share for each customer, granting them access to the limited dataset.
D) Employ Snowflake's Event Tables to capture installation events and trigger a stored procedure within the Native App to provision the trial environment.
E) Use Snowflake's Resource Monitors to automatically limit the credit usage for each trial customer account.

5. You are developing a Snowflake Native App that requires specific Snowflake features and functionalities. To ensure compatibility and proper execution across different consumer environments, you need to define the minimum required Snowflake version. Which section in the manifest file is used to specify the minimum Snowflake version required by the application and what is the correct syntax?

A) The 'api_version' section. Syntax: '"api_version": along with in the 'applications section.
B) The 'dependencies' section. Syntax: '"dependencies": [{"snowflake_version":">=7.0"}]
C) The 'application' section. Syntax: '"application": {"min_snowflake_version": "7.0"}'
D) The 'setup' section. Syntax:

E) The 'configuration' section. Syntax: '"configuration": {"required_snowflake_version": "7.0"}'

Solutions: