Practice Test 4 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
National weather agency wants to collect temperature data in few geographic locations. For this purpose the agency is deploying 100000 internet of things devices. You need to process, store and analyze these very large datasets in real time. How should the system be designed in Google Cloud?
A. Send the data to Google Cloud Datastore and then export to BigQuery.
B. Send the data to Google Cloud Pub/Sub, create streaming job in Google Cloud Dataflow to ingest data from Cloud Pub/Sub and store the data in Google BigQuery.
C.
Send the data to Cloud Storage and create Apache Spark job in Cloud Dataproc for further analysis.
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.
Correct Answer is B
Option A is incorrect. As datastore is not an ideal ingestion service.
Option B is correct. As requirement is to ingest, transform and store the data so the ideal stack in Google Cloud for this purpose is Pub/Sub – Dataflow – Big Query for IOT data. Refer GCP documentation –
https://cloud.google.com/solutions/iot-overview#ingestion;
Option C is incorrect – As Cloud Storage is not an ideal ingestion service and DataProc is not a data warehousing solution.
Option D is incorrect – As Cloud SQL is not a data warehousing solution.
Comments are closed, but trackbacks and pingbacks are open.