Practice Test 1 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet its technical requirements. Which combination of Google technologies will meet all of their requirements?
A. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
B. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
C. Container Engine, Cloud Pub/Sub, and Cloud SQL
D. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
E. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Correct Answer: A
(see Mountkirk Games case study for details or below for briefing summary)
For requirements: Process incoming data on the fly, directly from the game servers – Cloud Dataflow (for both stream and batch), hence we can eliminate C and D since they don’t have DataFlow
Option C is incorrect – Container Engine, Cloud Pub/Sub, and Cloud SQL
Option D is incorrect – Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
For requirements: Allow SQL queries to access at least 10 TB of historical data – BigQuery, hence we can eliminate B and E since they don’t have BigQuery
Option B is incorrect – Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
Option E is incorrect – Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
The only correct answer left is A, which meets all of their requirements
Option A is correct – Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
Below is a reference architect Google recommends for a similar scenario in data collection and analysis https://cloud.google.com/solutions/mobile/mobile-gaming-analysis-telemetry
Building a Mobile Gaming Analytics Platform – a Reference Architecture
Mountkirk Games real-time analytics platform
Solution Concept:
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
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