Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters…

The correct answer is D. Dataflow. Dataflow is a fully managed, serverless data processing service (based on Apache Beam) that handles both streaming and batch workloads. It automatically scales workers up and down with no cluster provisioning or server management required - exactly matching the requirement…

Data and Analytics Services

Question

Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose?

Options

ACompute Engine with BigQuery
BDataproc
CGoogle Kubernetes Engine with Cloud Bigtable
DDataflow

How the community answered

(37 responses)

A
5% (2)
B
11% (4)
C
3% (1)
D
81% (30)

Explanation

Dataflow is a fully managed, serverless data processing service (based on Apache Beam) that handles both streaming and batch workloads. It automatically scales workers up and down with no cluster provisioning or server management required - exactly matching the requirement. Dataproc (option B) is a managed Hadoop/Spark service but still requires cluster creation and management. Compute Engine (option A) requires VM provisioning. Google Kubernetes Engine (option C) requires creating and managing node clusters. Only Dataflow is truly serverless and handles continuous streaming data without infrastructure management.

Topics

#Data Processing#Serverless Computing#Stream Processing#Google Cloud Dataflow

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