Question-60: Downtime that was not anticipated for happens when a piece of equipment or a process suddenly stops working for no apparent reason. Not only can unscheduled downtime result in expensive delays in maintenance, production schedules, and order deliveries, but it also raises the risk of employee injuries, environmental issues, and the need for impromptu repairs. Please see the TerramEarth case study for more information about this subject. Taking into account the technological constraints, what steps should you take to minimise the unscheduled downtime experienced by vehicles in GCP?
A. Put your data in BigQuery and use that as your warehouse. Establish a connection between all of the vehicles and the network, then use Cloud Pub/Sub and Cloud Dataflow to continuously feed data into BigQuery. Utilize Google Data Studio for all of your reporting and analytical needs.
B. Make BigQuery the data warehouse platform of choice. Connect every vehicle to the network and use gcloud to upload gzipped files to a cloud storage bucket that is shared across multiple regions. Utilize Google Data Studio for all of your reporting and analytical needs.
C. Make Cloud Dataproc Hive the data warehouse instead of using another solution. gzip files should be uploaded to a cloud storage bucket that supports multiple regions. You may use gcloud to upload these records into BigQuery. Utilize Google Data Studio for all of your reporting and analytical needs.
D. Make Cloud Dataproc Hive the data warehouse for your organization. Send data in a stream directly into Hive tables that have been partitioned. Use Pig scripts to examine data.

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