Answer is B. To me, all 4 make sense. terramEarth: They currently have over 500 dealers and service centers in 100 countries. So, you would ask if that is not for multi-regional what else would it be? Well, the vehicles do not retrieve data… the vehicles only push data. Data are not retrieved by vehicles ever. The company retrieves the data, do analytics, and use this data to improve vehicles (next generation vehicles or improvements when those vehicles gets to maintenance). There is no data consumers across large geographic areas.
Extracted from https://cloud.google.com/storage/docs/bucket-locations
A good location balances latency, availability, and bandwidth costs for data consumers.
Use a regional location to help optimize latency, availability, and network bandwidth for data consumers grouped in the same region.
• Store frequently accessed data, such as data used for analytics, as Regional Storage.
• Store data typically accessed less than once a month, such as archived data, as Nearline Storage.
• Store data typically accessed less than once a year, such as backup and disaster recovery data, as Coldline Storage.

Use a multi-regional location when you want to serve content to data consumers that are outside of the Google network and distributed across large geographic areas.
• Store frequently accessed data, or data that needs to be geo-redundant as Multi-Regional Storage.
Geo-redundant data is redundant across two or more geographic places, 100 or more miles apart. Geo-redundancy occurs asynchronously, but all Cloud Storage is redundant within at least one geographic place as soon as you upload it.
• Store data typically accessed less than once a month as Nearline Storage.
• Store data typically accessed less than once a year as Coldline Storage.

If you're not sure which location type to use or have no scenario in mind, use a regional location that is convenient or contains the majority of the users of your data.

https://cloud.google.com/storage/docs/bucket-locations
Use a regional location to help optimize latency, availability, and network bandwidth for data consumers grouped in the same region.

// Use a regional location to help “optimize latency“, availability, and network bandwidth for data consumers grouped in the same region //... should be B

@Salim Masani It says a Regional bucket in us, asia and eu. There are regional buckets in all of those, so B is a possibility.

Answer D
us, eu, asia are multi-regional buckets not regional.