Topic 1 Question 12
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live- processing some data as it comes in. Which technology should they use for this?
Google Cloud Dataproc
Google Cloud Dataflow
Google Container Engine with Bigtable
Google Compute Engine with Google BigQuery
解説
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. Reference: https://cloud.google.com/dataflow/
ユーザの投票
コメント(17)
All four options can accomplish what the question asks, in regards to batching and streaming processes. "A" is for Apache Spark and Hadoop, a juggernaut in speed of data processing. "B" is Google's best attempt at TIBCO, Ab Initio, and other processing technology, built explicity for visualizing batch operations and streams without through various labeled circuit boards. "C" and "D" are used within "A" and "B" and would require more work and higher risk. I'd guess Google wants you to select "B"
👍 30Eroc2019/10/24answer: B
👍 62g2020/01/30B is the correct answer
👍 3vincy22022021/12/24
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