In order to speed up the transmission, TerramEarth deployed 5g devices in their vehicles with the goal of achieving an unplanned vehicle downtime to a minimum. But a set of older vehicles will be still using the old technology for a while. So, on these vehicles, data is stored locally and can be accessed for analysis only when a vehicle is serviced. In this case, data is downloaded via a maintenance port. You need to integrate this old procedure with the new one, building a workflow, in the simplest way. Which of the following tools would you choose?

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A. Cloud Composer Cloud Composer is GCP's managed Apache Airflow service, purpose-built for authoring, scheduling, and monitoring complex data workflows; it can orchestrate the download of locally-stored vehicle data via the maintenance port as one DAG task and seamlessly integrate it with the real-time 5G data pipeline in a single unified workflow with minimal custom infrastructure.

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B. Cloud Interconnect Cloud Interconnect provides dedicated network connectivity between on-premises and GCP, but does not orchestrate or manage data workflow logic.

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C. Appengine App Engine is a platform for hosting web applications and APIs, not a workflow orchestration tool for integrating heterogeneous data pipelines.

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D. Cloud Build Cloud Build is a CI/CD pipeline service for building and deploying software, not a data workflow orchestration tool.

In order to speed up the transmission, TerramEarth deployed 5g devices in their vehicles with the goal of achieving an unplanned vehicle downtime to a minimum. But a set of older vehicles will be…

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