Explanation:
The correct answer is Spark GraphX. This component is specifically designed for graph processing tasks, offering an API for graph computation and a distributed computation engine. It excels in efficiently managing large-scale graph data and executing graph-based computations in distributed environments.
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Your team is developing a machine learning model that needs to process large-scale graph data efficiently. Which Spark component is specifically optimized for handling graph processing tasks in distributed computing environments?
A
Spark SQL
B
Spark Streaming
C
Spark GraphX
D
Spark MLlib
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