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Answer: Google Cloud Dataflow
The correct answer is B. Google Cloud Dataflow. Google Cloud Dataflow is a fully-managed service designed for both batch and stream data processing. It offers a unified programming model that simplifies the complexities of data parallel processing, making it suitable for scenarios where both periodic (batch) jobs and real-time (stream) data handling are needed. Other options like Google Cloud Dataproc (A), Google Container Engine with Bigtable (C), and Google Compute Engine with Google BigQuery (D) serve different purposes and would not be as optimal for handling both batch and stream processing simultaneously.
Author: LeetQuiz Editorial Team
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Your company has recently completed a migration to Google Cloud and now aims to analyze incoming data streams to enhance operational efficiency. The company does not have any pre-existing code for this analysis and is therefore evaluating different technologies. The goal is to incorporate both batch processing for periodic jobs and stream processing for real-time data handling. Given these requirements, which Google Cloud technology should they use?
A
Google Cloud Dataproc
B
Google Cloud Dataflow
C
Google Container Engine with Bigtable
D
Google Compute Engine with Google BigQuery
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