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In the context of building scalable and efficient data pipelines within Google Cloud Platform, a team is evaluating Google Cloud Data Fusion for their project. The project requires a solution that not only simplifies the design and management of complex data workflows but also adheres to the organization's cost constraints and scalability requirements. Considering these factors, which feature of Google Cloud Data Fusion makes it a preferred choice for constructing data pipelines? Choose the best option.
A
Its exclusive optimization for real-time data streaming scenarios, ensuring minimal latency in data processing.
B
The inclusion of pre-built machine learning models that can be immediately deployed for predictive analytics.
C
A visual interface for ETL pipeline design that enhances user experience and operational efficiency.
D
A fully serverless architecture that automatically scales based on the workload, eliminating the need for manual infrastructure management.