
Explanation:
The question specifically asks for a managed storage option that meets the technical requirement of storing game activity in a time-series database service. Cloud Bigtable (A) is explicitly designed for time-series data, as confirmed by Google's documentation and the community discussion. It handles high-volume, low-latency writes typical of game activity logs. While BigQuery (C) is mentioned for analytics, it is not optimized for time-series ingestion and lacks the low-latency write capabilities needed here. Cloud Datastore (D) is transactional and suited for user profiles/game state but not time-series data. Cloud Spanner (B) is relational and overkill for this use case. The community consensus, with high upvotes for A (e.g., 27 upvotes citing Google's time-series design guide), reinforces that A is correct.
For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time-series database service?
A
Cloud Bigtable
B
Cloud Spanner
C
BigQuery
D
Cloud Datastore
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