Apache Spark Certification Practice Test

In a Spark cluster, client nodes communicate with server nodes primarily using TCP/IP protocols. This communication facilitates the transfer of data and commands between the client and server nodes, ensuring that tasks can be executed efficiently across the distributed architecture of Spark.

TCP/IP is a suite of communication protocols used to interconnect network devices on the internet and in private networks. It allows for reliable, ordered, and error-checked delivery of data between applications running on different nodes within the Spark infrastructure. By leveraging these protocols, Spark can manage connections and data flow seamlessly, enabling multi-node processing and coordination.

Other options like HTTP, SSH, and WebSockets serve distinct purposes. For instance, while HTTP can be utilized for web-based communication and API calls, it may not be the core method for data transmission in Spark. SSH is primarily used for secure shell access to servers rather than for inter-node communication in big data processing. WebSockets provide a full-duplex communication channel over a single TCP connection but are more suited for real-time web applications rather than the backend data processing tasks that Spark handles.

Thus, TCP/IP remains the foundational technology for communication within Spark clusters, ensuring that client and server nodes can effectively coordinate and perform parallel computations.