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Practice Test 1 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test

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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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