Which component is involved in analyzing and improving network performance in Google Cloud?

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Master the Google Cloud Professional Cloud Network Engineer test with engaging flashcards and multiple-choice questions. Each question designed with hints and explanations to enhance your preparation. Ace the exam seamlessly!

Network Intelligence is the component in Google Cloud that focuses specifically on analyzing and improving network performance. It offers a suite of tools designed to provide insights into network usage, identify potential issues, and suggest optimizations to enhance performance.

With features like Network Topology, which visualizes the cloud network's infrastructure, and Network Performance Monitoring, which helps in tracking and analyzing network traffic and performance metrics, Network Intelligence empowers users to have a deeper understanding of their network. This component leverages machine learning and analytics to provide actionable insights that can lead to improved efficiency, reduced latency, and optimized resource allocation.

The other components mentioned serve different purposes in the Google Cloud ecosystem. Cloud Storage is primarily for storing and retrieving data; Cloud Bigtable is a scalable NoSQL database service for large analytical and operational workloads; and Compute Engine provides virtual machines for running applications. None of these components focus explicitly on the analysis and improvement of network performance, which highlights the distinct role that Network Intelligence plays in the Google Cloud platform.

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