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Answer: Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
The correct answer is B (Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery) because it best addresses all technical requirements for a real-time analytics platform. Cloud Pub/Sub handles high-throughput, low-latency message ingestion from game servers and accommodates late-arriving data from slow mobile networks. Cloud Dataflow processes streaming data on the fly with exactly-once semantics and supports both real-time and batch processing. Cloud Storage manages user-uploaded files from mobile devices. BigQuery enables SQL queries on large historical datasets (10+ TB) and provides real-time analytics capabilities. All services are fully managed and auto-scaling. Other options are less suitable: A and C lack BigQuery for analytics; D uses Cloud Dataproc instead of Dataflow, which is less optimal for real-time streaming; E uses Compute Engine (not fully managed) and Dataproc instead of Dataflow/BigQuery, missing real-time analytics capabilities.
Author: LeetQuiz Editorial Team
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Mountkirk Games is implementing a real-time analytics platform for their new game. Which combination of Google Cloud technologies satisfies all of their technical requirements?
A
Kubernetes 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
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