Business payments profiles keep information including Name, address, and the tax ID of who's responsible for the profile, when required legally, Credit cards, debit cards, bank accounts, Receipts and other information about past transactions, Merchant tax settings, and many more.

Business Payments Profile: Choose this setting if you’re paying on behalf of a business, organization, partnership, or educational institution.

Manage business payments profiles

Projects are required to use service-level resources (such as Compute Engine virtual machines (VMs), Pub/Sub topics, Cloud Storage buckets, and so on). All service-level resources are parented by projects, the base-level organizing entity in Google Cloud. Projects form the basis for enabling services, APIs, and IAM permissions.

Projects

With Requester Pays enabled on your bucket, you can require requesters to include a billing project in their requests, thus billing the requester's project. Enabling Requester Pays is useful, for example, if you have a lot of data you want to make available to users, but you don't want to be charged for their access to that data.

Requester Pays

Migrate for Anthos:

Most digital transformations will be a mix of strategies. For the workloads that will benefit from containers, Migrate for Anthos and GKE delivers a fast, smooth path to modernization.

Migrate for Anthos and GKE makes it fast and easy to modernize traditional applications away from virtual machines and into native containers.

Migrate for Anthos and GKE

Storage Transfer Service allows you to quickly import online data into Cloud Storage. You can also set up a repeating schedule for transferring data, as well as transfer data within Cloud Storage, from one bucket to another.

Transferring data from Amazon S3 to Cloud Storage using VPC Service Controls and Storage Transfer Service: Configure AWS access, Create VPC Service Controls perimeter, Create an access policy and access level by using Access Context Manager, Use Storage Transfer Service to move data between Amazon S3 and Cloud Storage, Schedule Storage Transfer Service to retrieve data on a schedule.

Transferring data from Amazon S3 to Cloud Storage using VPC Service Controls and Storage Transfer Service

Storage Transfer Service documentation

To ensure high availability and to handling failures, you should distribute your resources across multiple zones and regions to tolerate outages. To decrease network latency, you might want to choose a region or zone that is close to your point of service.

For example, if you mostly have customers on the East Coast of the US, then you might want to choose a primary region and zone that is close to that area and a backup region and zone that is also close by.

Choosing a region and zone

Ingestion user interaction and server events: To make use of user interaction events from end-user apps or server events from your system, you may forward them to Pub/Sub and then use a stream processing tool such as Dataflow) which delivers them to BigQuery, Bigtable, Cloud Storage and other databases. Pub/Sub allows you to gather events from many clients simultaneously. Therefore, Pub/Sub is the correct choice among others.

Pub/Sub

• A) is correct because product ratings are structured because they are numerical scores.
• B) is not correct because product reviews are unstructured because they are text files.
• C) is not correct because product photographs are unstructured because they are image files.
• D) is not correct because product descriptions are unstructured because they are text files.

Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud. Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs. The Cloud Firestore data model supports whatever data structure works best for your app. Documents support many different data types, from simple strings and numbers, to complex, nested objects.

Cloud Firestore

• App Engine Flexible:

App Engine allows developers to focus on writing code. Based on Google Compute Engine, the App Engine flexible environment automatically scales your app up and down while also balancing the load. Best used when application instances run within Docker containers on Compute Engine virtual machines (VM), applications that receive consistent traffic, experience regular traffic fluctuations, or meet the parameters for scaling up and down gradually.

App Engine Flexible Environment

• Cloud Run:

Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Write code your way by deploying any code or container that listens for requests or events.

Cloud Run

For more details: