Topic 5 Question 6
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?
Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL
Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
解説
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 Reference: https://cloud.google.com/solutions/big-data/stream-analytics/
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コメント(17)
Agree with B
👍 32AWS562020/01/12Correct Answer B
Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
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
👍 29sri0072020/01/16Answer is B
👍 4MamthaSJ2021/07/07
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