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?
The correct answer is D. Dataflow because it is a serverless, fully managed service for processing large amounts of streaming or batch data without needing to provision infrastructure or create clusters.
Dataflow is a fully managed streaming data processing service that can handle large amounts of data from continuous sources. It is serverless, so you do not need to provision infrastructure or create server cluster
To process large amounts of data from an online application continuously without the need to provision infrastructure or create server clusters, your organization should choose Google Cloud Dataflow.
Google Cloud Dataflow is a fully managed and serverless data processing service. It allows you to process and analyze large volumes of data in real-time or batch mode without the need to manage the underlying infrastructure. Dataflow automatically scales the processing resources based on the volume of data being processed, ensuring high performance and efficiency.
I would add that the question also states: You do not want to be required to provision infrastructure or create server clusters.
Compute Engine by its nature requires provisioning, while DataFlow is mean to be serverless: https://cloud.google.com/dataflow
- Excerpt: Unified stream and batch data processing that's serverless, fast, and cost-effective.
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