Shared VPC allows an organization to connect resources from multiple projects to a common Virtual Private Cloud (VPC) network, so that they can communicate with each other securely and efficiently using internal IPs from that network. When you use Shared VPC, you designate a project as a host project and attach one or more other service projects to it. The VPC networks in the host project are called Shared VPC networks.
Eligible resources from service projects can use subnets in the Shared VPC network
https://cloud.google.com/vpc/docs/shared-vpc
"For example, an existing instance in a service project cannot be reconfigured to use a Shared VPC network, but a new instance can be created to use available subnets in a Shared VPC network."

When encountering a quotaExceeded error in BigQuery, you should follow these steps to diagnose and mitigate the issue:
* Understand the Error:
* The error message indicates that a quota was exceeded (either a short-term rate limit or a longer- term limit).
* The response payload contains information about which quota was reached.
* Quotas can fall into two categories:
* rateLimitExceeded: Short-term limits. Retry the operation after a few seconds using exponential backoff.
* quotaExceeded: Longer-term limits. Wait 10 minutes or longer before retrying the operation.
* Search Errors in Cloud Audit Logs (Option A):
* Cloud Audit Logs provide detailed information about API requests and responses.
* By searching the logs, you can identify the specific API call that triggered the quotaExceeded error.
* This helps you understand which resource or operation exceeded the quota.
* View Errors in Cloud Monitoring (Option C):
* Cloud Monitoring (formerly known as Stackdriver) provides insights into your Google Cloud resources.
* Check the monitoring dashboard for any alerts related to BigQuery quotas.
* You can set up custom monitoring rules to track specific quotas and receive notifications.
* Other Options:
* B. Configure Cloud Trace: Cloud Trace is used for performance analysis and latency tracking. It' s not directly related to quota issues.
* D. Use Information Schema Views: Information schema views provide metadata about your datasets and tables but won't help diagnose quota errors.
* E. Use BigQuery Bl Engine: There is no such tool called "BigQuery Bl Engine." This option is invalid.
Remember that some quotas replenish incrementally over a 24-hour period, so you don't always need to wait a full 24 hours after reaching the limit. If you consistently hit longer-term quotas, consider workload optimization or requesting a quota increase

The resources for the marketing team should be independent from the Sales team. Resources are tied and separated by projects.

Explanation
(https://cloud.google.com/resource-manager/docs/project-migration#change_billing_account)
https://cloud.google.com/billing/docs/concepts
https://cloud.google.com/resource-manager/docs/project-migration