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The TerramEarth business requirements include improving the ability to predict malfunctions in equipment, increasing the speed and reliability of development workflows, and enabling developers to create custom APIs more efficiently.

The business requirements do not explicitly call for using managed services, but given the emphasis on predictive analytics, it is likely that Vertex AI and other machine learning services, such as GPUs and TPUs, will be employed.

The business requirements also emphasize the importance of developer productivity, including remote workers.

Business requirements are a starting point for formulating a technical solution. Architects must apply their knowledge of systems design to map business requirements into possible technical requirements. After that, they can dig into explicit technical requirements to start to formulate technical solutions.

The key point of this section is that business requirements are not some kind of unnecessary filler in the case studies. They provide the broad context in which a solution will be developed. While they do not provide enough detail to identify solution components on their own, they do help us narrow the set of feasible technical solutions. Business requirements may help you rule out options to an exam question. For example, a data storage solution that distributes data across multiple regions by default may meet all technical requirements, but if a business requirement indicates the data to be stored must be located in a specific country, then the correct answer is the one that lets you limit where the data is stored.