You are deploying 10,000 new Internet of Things devices to collect temperature data in your warehouses globally. You need to process, store and analyze these very large datasets in real time. What should you do?
A) Send the data to Google Cloud Datastore and then export to BigQuery.
B) Send the data to Google Cloud Pub/Sub, stream Cloud Pub/Sub to Google Cloud Dataflow, and store the data in Google BigQuery.
C) Send the data to Cloud Storage and then spin up an Apache Hadoop cluster as needed in Google Cloud Dataproc whenever analysis is required.
D) Export logs in batch to Google Cloud Storage and then spin up a Google Cloud SQL instance, import the data from Cloud Storage, and run an analysis as needed.

Question

Quizplus · Accepted Answer

Cloud Pub/Sub is a real-time messaging service that can handle large volumes of data. Dataflow is a fully managed data processing service that can process data in real time. BigQuery is a data warehouse that can store and analyze large datasets. This combination of services can be used to process, store, and analyze large datasets in real time.

You Are Deploying 10,000 New Internet of Things Devices to Collect