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 their technical requirements .
Which combination of Google technologies will meet all of their requirements?
A . Container Engine, Cloud Pub/Sub, and Cloud SQL
B . Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
C . Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
D . Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
E . Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
Answer: B
Explanation:
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google’s unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
✑ Dynamically scale up or down based on game activity
✑ Process incoming data on the fly directly from the game servers
✑ Process data that arrives late because of slow mobile networks
✑ Allow SQL queries to access at least 10 TB of historical data
✑ Process files that are regularly uploaded by users’ mobile devices
✑ Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/
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