H13-711 practice question 13 of 30

In the Fusioninsight system, which component does the Flume data stream need not pass in the node?

Full set: 201 questions
Answer options
A: source
B: channel
C: sink
D: topic Correct answer
Correct Answer:
D. topic
Explanation

The fundamental architecture of a Flume agent, which processes the data stream within a node, consists of three core components: a Source, a Channel, and a Sink. The data flow is sequential: the Source receives events and places them into the Channel, which acts as a buffer. The Sink then consumes the events from the Channel and forwards them to the next destination. The term "topic" is not a native component of the Flume agent architecture itself; it is a concept primarily associated with publish-subscribe messaging systems like Apache Kafka. While Flume can integrate with Kafka, the data stream within the Flume agent itself flows through Source -> Channel -> Sink.

Why Incorrect

A. source: Incorrect. The source is the mandatory entry point where the Flume agent receives data from an external system.
B. channel: Incorrect. The channel is a required internal passive store that buffers events between the source and the sink.
C. sink: Incorrect. The sink is the essential component that removes data from the channel and transmits it to its destination.

References

1. Huawei FusionInsight HD 6.5.1 Product Documentation: In the "Flume Service Guide," section "Introduction to Flume," the architecture is described. It states, "A Flume agent contains three components: source, channel, and sink." This confirms the core components. (Reference: Huawei FusionInsight HD 6.5.1, Flume Service Guide, Chapter 1: Introduction to Flume).

2. Apache Flume 1.9.0 User Guide: As Huawei FusionInsight utilizes Apache Flume, its core architecture is identical. The official guide states, "A Flume agent is a (JVM) process that hosts the components through which events flow... It has three main components: Source, Channel, and Sink." (Reference: Apache Flume 1.9.0 User Guide, Section: "Flume Architecture").

3. University Courseware: In course materials for Big Data systems, Flume's architecture is consistently presented with these three components. For example, course slides often depict a diagram showing data flowing from a Source, being buffered in a Channel, and then extracted by a Sink. (Reference: CS 186/286, University of California, Berkeley, Lecture on "Data Ingestion," which details the Source-Channel-Sink model of Flume).

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