Explanation
This design meets all the requirements for the data pipeline. Snowpipe is a feature that enables continuous data loading into Snowflake from object storage using event notifications. It is efficient, scalable, and serverless, meaning it does not require any infrastructure or maintenance from the user. Streams and tasks are features that enable automated data pipelines within Snowflake, using change data capture and scheduled execution.
They are also efficient, scalable, and serverless, and they simplify the data transformation process. External functions are functions that can invoke external services or APIs from within Snowflake. They can be used to integrate with Amazon Comprehend and perform sentiment analysis on the data. The results can be written back to a Snowflake table using standard SQL commands. Snowflake Marketplace is a platform that allows data providers to share data with data consumers across different accounts, regions, and cloud platforms. It is a secure and easy way to make data publicly available to other companies.
References:
* Snowpipe Overview | Snowflake Documentation
* Introduction to Data Pipelines | Snowflake Documentation
* External Functions Overview | Snowflake Documentation
* Snowflake Data Marketplace Overview | Snowflake Documentation

Snowpipe is a feature that enables continuous, near-real-time data ingestion from external sources into Snowflake tables. Snowpipe can ingest files from Amazon S3, Google Cloud Storage, or Azure Blob Storage into Snowflake tables on any cloud platform. Snowpipe can be triggered in two ways: by using the Snowpipe REST API or by using cloud notifications2 To ingest files from the company's AWS storage accounts into the company's Snowflake GCP account, the Architect can use either of these methods:
* Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method requires the client application to monitor the S3 buckets for new files and send a request to the Snowpipe REST API with the list of files to ingest. The client application must also handle authentication, error handling, and retry logic3
* Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method leverages the AWS Lambda service to execute a function that calls the Snowpipe REST API whenever an S3 event notification is received. The AWS Lambda function must be configured with the appropriate permissions, triggers, and code to invoke the Snowpipe REST API4 The other options are not valid methods for triggering Snowpipe:
* Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage. This option is not feasible because Snowpipe does not support ingesting files from Amazon S3 Glacier storage, which is a long-term archival storage service. Snowpipe only supports ingesting files from Amazon S3 standard storage classes5
* Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage. This option is not applicable because Snowpipe does not support cloud notifications from AWS SNS. Snowpipe only supports cloud notifications from AWS SQS, Google Cloud Pub/Sub, or Azure Event Grid6
* Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage. This option is not relevant because it does not use Snowpipe, but rather the standard COPY command, which is a batch loading method. Moreover, the COPY command also does not support ingesting files from Amazon S3 Glacier storage7 References:
* 1: SnowPro Advanced: Architect | Study Guide 8
* 2: Snowflake Documentation | Snowpipe Overview 9
* 3: Snowflake Documentation | Using the Snowpipe REST API 10
* 4: Snowflake Documentation | Loading Data Using Snowpipe and AWS Lambda 11
* 5: Snowflake Documentation | Supported File Formats and Compression for Staged Data Files 12
* 6: Snowflake Documentation | Using Cloud Notifications to Trigger Snowpipe 13
* 7: Snowflake Documentation | Loading Data Using COPY into a Table
* : SnowPro Advanced: Architect | Study Guide
* : Snowpipe Overview
* : Using the Snowpipe REST API
* : Loading Data Using Snowpipe and AWS Lambda
* : Supported File Formats and Compression for Staged Data Files
* : Using Cloud Notifications to Trigger Snowpipe
* : Loading Data Using COPY into a Table

To change the edition of a Snowflake account, an organization administrator (ORGADMIN) cannot directly alter the account settings through SQL commands or the Snowflake interface. The proper procedure is to contact Snowflake Support to request an edition change for the account. This ensures that the change is managed correctly and aligns with Snowflake's operational protocols.
References: This process is outlined in the Snowflake documentation, which specifies that changes to an account's edition should be facilitated through Snowflake Support1.