What could be a typical data pipeline used to support this platform on Google Cloud?

An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time.

What could be a typical data pipeline used to support this platform on Google Cloud?
A . Cloud Pub/Sub, Cloud Dataflow, Data Studio
B . Cloud Functions, Cloud Dataproc, Looker
C . Cloud Pub/Sub, Cloud Dataflow, BigQuery
D . Cloud Functions, Cloud Dataproc, BigQuery

View Answer

Answer: A

Explanation:

Explanation

=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.

=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.

=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.

=> DataStudio- DataStudio and Looker are for visualization. They don’t have any in-built analysis.

=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.

=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won’t be a good fit here.