Answer: Funnel

## Explanation The correct answer is **D. Funnel**. ### Understanding Data Ingestion Patterns: - **Sequence**: This pattern involves processing data through a series of steps in a specific order, where each step depends on the output of the previous one. It's more about data transformation pipelines than combining multiple sources. - **Filter**: This pattern involves removing unwanted data or selecting specific subsets of data based on certain criteria. It's about data reduction, not combining multiple sources. - **Fan-out**: This pattern involves taking data from a single source and distributing it to multiple destinations or processing streams. It's the opposite of what's needed here. - **Funnel**: This pattern is specifically designed to **combine data from multiple sources into a single destination**. In streaming scenarios, a funnel pattern collects data from various streaming sources and consolidates them into one refined table, which perfectly matches the requirement described in the question. ### Why Funnel is Correct: The question specifically asks about creating "a single refined table out of raw data from several streaming sources" - this is exactly what the funnel pattern accomplishes. It: - Takes multiple input streams - Processes and refines the data - Outputs to a single destination table This pattern is commonly used in streaming architectures where data from various sources (like Kafka topics, event streams, or different APIs) needs to be consolidated into a unified view for analytics or further processing.

Author: LeetQuiz .