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Apache Flume

Data ingestion tool

Apache Flume is a distributed data ingestion tool used to collect, aggregate and move large amounts of data from various data sources into a centralized data store for further analysis.

5 minutes 5 Questions

Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating, and moving large amounts of log data from many different sources to a centralized data store. It was originally created by Cloudera and later became a top-level Apache project. Flume's architectu…

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Big Data Engineer - Apache Flume Example Questions

Test your knowledge of Apache Flume

Question 1

What is the maximum number of channels that can be used with an Apache Flume agent?

An Apache Flume agent can only support up to 3 channels at a time. An Apache Flume agent can only support up to 5 channels at a time. The number of channels that can be used with an Apache Flume agent depends on the size of the data being processed. There is no fixed limit on the number of channels that can be used with an Apache Flume agent. The maximum number of channels that can be used with an Apache Flume agent is 10.

Correct Answer: There is no fixed limit on the number of channels that can be used with an Apache Flume agent.

The number of channels that can be used with an Apache Flume agent depends on the hardware and resources available to the system. There is no fixed limit on the number of channels that can be used, and it is possible to configure an Apache Flume agent to support hundreds or even thousands of channels.

Question 2

What is the main difference between a Failover and a Load balancing channel selector in Apache Flume?

A failover channel selector distributes events evenly across all channels, while a load balancing channel selector sends events to the first available channel. A failover channel selector filters events based on specific criteria, while a load balancing channel selector provides fault tolerance by buffering events. A failover channel selector sends events to the first available channel, while a load balancing channel selector distributes events evenly across all channels. A failover channel selector performs real-time analytics on incoming data streams, while a load balancing channel selector replicates events across multiple channels for fault tolerance. A failover channel selector splits events into smaller chunks for more efficient processing, while a load balancing channel selector performs real-time analytics on incoming data streams. A failover channel selector compresses events before writing them to the destination, while a load balancing channel selector aggregates events before writing them to a centralized data store.

Correct Answer: A failover channel selector sends events to the first available channel, while a load balancing channel selector distributes events evenly across all channels.

A failover channel selector in Apache Flume sends events to the first available channel, while a load balancing channel selector distributes events evenly across all channels. The choice between failover and load balancing depends on your specific use case and needs.

Question 3

What is the purpose of a Backup Channel in Apache Flume?

To aggregate events before writing them to the channel or sink To delay writing events to the channel or sink until a specific time To transform events before writing them to the channel or sink To copy data from the main channel to another storage system for backup purposes To store events temporarily when the main channel is busy, to prevent data loss and ensure reliable data delivery. To filter events based on a specified criteria

Correct Answer: To store events temporarily when the main channel is busy, to prevent data loss and ensure reliable data delivery.

A Backup Channel is used to store events temporarily when the main channel is busy, to prevent data loss and ensure reliable data delivery. This channel is configured as a secondary channel to be used in case the primary channel is full or unavailable, and helps to ensure that data is not lost in case of a failure.

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