The flume architecture shown in the figure below is mainly used to import data from outside the cluster into the cluster.

Question

Options

• ATrue
• BFalse

• A
  77% (17)
• B
  23% (5)

Explanation

Option A (True) is correct because Apache Flume is specifically designed to collect and transport large volumes of data - such as log files, events, or streams from web servers and application servers - from external sources outside a Hadoop cluster into distributed storage systems like HDFS or HBase within the cluster. The fan-in (multi-tier) Flume architecture, which is commonly depicted in exam figures, uses multiple collector agents on edge nodes to aggregate data flows and funnel them inward to the cluster through a chain of Source → Channel → Sink pipelines.

Option B (False) is wrong because it contradicts Flume's core purpose; Flume does not export data out of the cluster - tools like Sqoop or Kafka are used for different data movement patterns, but Flume's primary ingestion direction is inbound.

Memory tip: Think of Flume as a funnel - just like a physical funnel only lets things flow in (from wide/external → narrow/internal), Flume channels data from the wide external world into your cluster. The word "flume" itself means a water channel that directs flow toward a destination.

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