Which components are part of Google's enterprise data management and governance tool?

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Study for the Google Cloud Professional Machine Learning Engineer Test. Study with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

The correct answer highlights components specifically designed for enterprise data management and governance within Google's ecosystem. A feature store, data catalog, and Dataplex are all integral to effectively managing and governing data.

The feature store serves as a centralized repository for managing features used in machine learning models, facilitating the organization and accessibility of predictive model features. This is crucial for maintaining consistency and optimizing machine learning workflows.

The data catalog provides an organized inventory of data assets, aiding in data discovery and understanding. It allows users to find and utilize datasets efficiently, which is vital for data governance as it ensures that data is managed according to compliance and regulatory standards.

Dataplex is a data management solution that integrates data lakes, warehouses, and marts. It simplifies data governance and management across various data sources. The synergy of these three components enhances an organization’s ability to manage data workflows, discover insights, and maintain compliance, which are pivotal aspects of enterprise data governance.

Other options contain elements that, while useful in data analysis and machine learning contexts, do not focus primarily on the comprehensive governance and management approach necessary for enterprise data environments.

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