Practice Test 1 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test
For this question, refer to the TerramEarth case study.
TerramEarth receives daily data in the Cloud using network interconnects with private on-premises data centers.
A subset of the data is transmitted and processed in real time and the rest daily, when the vehicles return to home base.
You have been asked to prepare a complete solution for the ingestion and management of this data, which must be both fully stored and aggregated for analytics with Bigquery.
Which of the following actions do you think is the best solution (pick 2)?
A. Real-time data is streamed to BigQuery, and each day a job creates all the required aggregate processing
B. Real-time data is sent via Pub / Sub and processed by Dataflow that stores data in Cloud Storage and computes the aggregates for BigQuery.
C. The Daily Sensor data is uploaded to Cloud Storage using pub/sub with parallel composite uploads and at the end with a Cloud Storage Trigger a Dataflow procedure is activated
D. Daily Sensor data is loaded quickly with BigQuery Data Transfer Service and processed on demand via job
Correct Answer: B and C
Pub/Sub is the solution recommended by Google because it provides flexibility and security. Flexibility because, being loosely coupled with a publish / subscribe mechanism, it allows you to modify or add functionality without altering the application code.
Security because it guarantees reliable, many-to-many, asynchronous messaging with at-least-once delivery.
Uploading to both Cloud Storage and Bigquery is important because you want to store the data both in its entirety and in aggregate form.
Parallel composite uploads are recommended because the daily files are of considerable size (200 to 500 megabytes).
Using Dataflow allows you to manage processing in real-time and to use the same procedures for daily batches.
- A is incorrect because it stores data only in BigQuery and does not provide real-time processing when the requirements are to have both global and aggregated data.
- D is incorrect because, also here, data is stored only in BigQuery and because BigQuery Data Transfer Service involves passing through cloud sources, not from on-premise archives. It also doesn’t talk about how the data is decompressed and processed.
For any further detail:
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