Question-17: The case study of Mountkirk Games serves as the foundation for this question.
You have been tasked with developing a real-time analytics platform for Mountkirk Games' next game releases. Mountkirk Games has an extremely large number of players, and they want to leverage the data from those gamers in their Machine Learning efforts. Since you do not currently own a Data Analytics work team, you have therefore advertised a few posts in order to employ one. The prerequisite is that the newly implemented platform must satisfy their technical needs. Which combination of Google technologies is most suited to fulfill all of their needs?
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
Correct Answer
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: 2 Explanation: According to the case study, a real-time environment demands streaming and messaging, therefore pub/sub and Big Query would be used to do analytics. Cloud Pub/Sub, which is powered by Google's one-of-a-kind, high-speed private network, gives users the ability to ingest millions of streaming events per second from any location in the globe. Cloud Dataflow should be used to process the streams in order to achieve a dependable, exactly-once, and low-latency data transformation. Stream the converted data into BigQuery, the cloud-native data warehousing service, for rapid analysis using standard query language (SQL) or commonly used visualization tools.