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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A financial services company is developing a Snowflake Native App. It needs to securely access external market data via an API and store the processed results in a consumer-provided table. Considering security best practices and the Snowflake Native App Framework limitations, which of the following approaches represents the MOST secure and recommended implementation for this scenario?

A) Use a Snowflake external function with an API integration that passes the API key as a parameter. Store the processed data in a consumer-provided table using dynamic SQL.
B) Employ a Snowflake external function, configured with a service account, which invokes an API integration stored in the provider account. The external function returns the data, which is then inserted into a consumer-owned table using a stored procedure and INSERT statements, where the application role has been granted the necessary INSERT privilege.
C) Use a Snowflake external function with an API integration, configured with a service account that has the necessary permissions to access the API. Store the processed data in a consumer-provided table using stored procedures and INSERT statements using the application role.
D) Utilize a Python UDF with the 'external network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer-provided table by using the application role. API key is stored in snowflake secret.
E) Utilize a Java UDF with the 'network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer- provided table by using the application role with INSERT privilege granted by consumer.

2. You are developing a Snowflake Native Application that uses a Stored Procedure to orchestrate complex data processing tasks. This stored procedure is defined within the application package. When testing in test mode, which of the following security considerations are paramount to ensure the procedure executes correctly and securely, without unintentionally granting excessive privileges to the consumer?

A) Create a dedicated service user specifically for the application and grant only the necessary privileges to this user. The stored procedure should then execute with the privileges of this service user using the 'EXECUTE AS CALLER clause. This allows granular access control.
B) Since the application is running in test mode, security is not a major concern. Granting all necessary privileges directly to the application role simplifies testing without compromising the consumer's security.
C) Ensure that any roles granted to the application role also have the necessary privileges to execute the stored procedure, and access the objects it interacts with. The stored procedure must be defined with 'EXECUTE AS CALLER.
D) Define the stored procedure with the 'EXECUTE AS OWNER clause. This ensures the procedure always runs with the privileges of the application owner, regardless of the caller's permissions.
E) Grant the 'EXECUTE' privilege on the stored procedure to the 'PUBLIC' role during test mode. This simplifies testing but should be revoked before publishing the application.

3. You have successfully deployed your Snowflake Native Application Package to an external stage (AWS S3), but consumers are reporting they are not receiving updates after you deploy new versions to the external stage. You have verified that the IAM role, Snowflake integration, and S3 bucket policy are correctly configured. What steps should you take to troubleshoot and resolve this issue?

A) Execute the 'ALTER APPLICATION PACKAGE REFRESH' command after each deployment to the external stage. This explicitly informs Snowflake to refresh the application package metadata.
B) Verify that the SNOWFLAKE DEPLOYMENT role has been granted ownership of the Integration object used for accessing the external stage.
C) Grant the APPLICATION ROLE to the SNOWFLAKE DEPLOYMENT role on the application package. This allows the deployment process to automatically update the consumer instances.
D) Consumers must manually refresh their installed application instance using the command 'ALTER APPLICATION REFRESH;' after a new package version is deployed.
E) Ensure the S3 bucket has versioning enabled. Snowflake relies on S3 versioning to detect new application package versions.

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) 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'.
C) Use the ALTER APPLICATION' command with the 'FORCE option to immediately replace the existing application with the new version, ignoring any potential compatibility issues.
D) 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.
E) 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.

5. A data engineer needs to upload a large (10 GB) data file to an internal stage within a Snowflake Native App package using Snowsight. Which of the following methods is the MOST efficient and recommended approach, considering factors like network stability and potential interruptions?

A) Using a third-party file transfer tool (e.g., rsync) to upload the file to an external stage and then copying it to the internal stage using Snowflake SQL commands.
B) Compress the file before uploading using Snowsight, this reduces size and ensures faster upload.
C) Using the Snowflake CLI (SnowSQL) with the 'PUT command, enabling automatic retries and parallel uploads.
D) Breaking the file into smaller chunks (e.g., 100 MB each) and uploading them sequentially using Snowsight.
E) Using the Snowsight web interface directly to upload the file in a single operation.

Solutions: