This is the valid object hierarchy when building a Snowflake environment, according to the Snowflake documentation and the web search results. Snowflake is a cloud data platform that supports various types of objects, such as databases, schemas, tables, views, stages, warehouses, and more. These objects are organized in a hierarchical structure, as follows:
Organization: An organization is the top-level entity that represents a group of Snowflake accounts that are related by business needs or ownership. An organization can have one or more accounts, and can enable features such as cross-account data sharing, billing and usage reporting, and single sign-on across accounts12.
Account: An account is the primary entity that represents a Snowflake customer. An account can have one or more databases, schemas, stages, warehouses, and other objects. An account can also have one or more users, roles, and security integrations. An account is associated with a specific cloud platform, region, and Snowflake edition34.
Database: A database is a logical grouping of schemas. A database can have one or more schemas, and can store structured, semi-structured, or unstructured data. A database can also have properties such as retention time, encryption, and ownership56.
Schema: A schema is a logical grouping of tables, views, stages, and other objects. A schema can have one or more objects, and can define the namespace and access control for the objects. A schema can also have properties such as ownership and default warehouse .
Stage: A stage is a named location that references the files in external or internal storage. A stage can be used to load data into Snowflake tables using the COPY INTO command, or to unload data from Snowflake tables using the COPY INTO LOCATION command. A stage can be created at the account, database, or schema level, and can have properties such as file format, encryption, and credentials .
The other options listed are not valid object hierarchies, because they either omit or misplace some objects in the structure. For example, option A omits the organization level and places the warehouse under the schema level, which is incorrect. Option C omits the organization, account, and stage levels, and places the table under the schema level, which is incorrect. Option D omits the database level and places the stage and table under the account level, which is incorrect.
Reference:
Snowflake Documentation: Organizations
Snowflake Blog: Introducing Organizations in Snowflake
Snowflake Documentation: Accounts
Snowflake Blog: Understanding Snowflake Account Structures
Snowflake Documentation: Databases
Snowflake Blog: How to Create a Database in Snowflake
[Snowflake Documentation: Schemas]
[Snowflake Blog: How to Create a Schema in Snowflake]
[Snowflake Documentation: Stages]
[Snowflake Blog: How to Use Stages in Snowflake]

This question centers aroundcross-cloud ingestionusingSnowpipe, where the Snowflake account is onGoogle Cloud, but the source data resides inAmazon S3. Sinceautomatic Snowpipe event-based integration (using AWS SNS)is only supported when Snowflake is deployed onAWS, this limits the options.
In a multi-cloud scenario (e.g., S3 to GCP-hosted Snowflake), onlymanual triggering of Snowpipeis available, typically through theSnowpipe REST API.
Option A - Correct
You can configure your client application to call theSnowpipe REST APIwhen files are available. This is suitable and supported forcross-cloud ingestion, such as from AWS S3 into a Snowflake account hosted on GCP.
Official Extract:
"For cloud platforms other than AWS, or when using Snowpipe in a cross-cloud or external storage configuration, the REST API must be used to trigger ingestion." Source:Snowflake Docs - Using Snowpipe REST API Option C - Correct AWS Lambda can be used toinvoke the Snowpipe REST APIwhen files arrive in S3. This is a common pattern in cross-cloud integrations, acting as a middle layer.
Official Extract:
"You can use an AWS Lambda function to call the Snowpipe REST API when new files are added to your S3 bucket. This pattern works for Snowflake accounts hosted outside of AWS." Source:Snowflake Docs - Automating Snowpipe REST API Calls Option B - Incorrect S3 Glacier is an archival storage service and isnot supportedfor direct loading into Snowflake, since data is not immediately accessible.
Option D - Incorrect
UsingAWS SNS for auto-notificationis only supported whenSnowflake is deployed on AWS. Since this question specifies Snowflake onGCP, SNS-based integration isnot supported.
Official Extract:
"Snowpipe supports Amazon S3 event notifications (SNS/SQS) only for Snowflake accounts hosted on AWS." Source:Snowflake Docs - Supported Cloud Platforms Option E - Incorrect Similar to Option B, S3 Glacier isnot a valid sourcefor data loading because it does not provide real-time file access.
References:
Snowflake Documentation - Snowpipe Overview
Snowpipe REST API
Automating Snowpipe with Lambda
Automatic Ingestion Support - Cloud Limitations

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.