Apache Storm

Data streaming processor

Apache Storm is a distributed real-time processing engine that allows for streaming data to be processed in parallel across a cluster of computers, making it ideal for applications that require real-time analytics and continuous data computation.

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Big Data Engineer - Apache Storm Example Questions

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Question 1

What is the purpose of a Storm transactional spout?

To allow tuples to be replayed if they fail during processing To provide a way to keep track of multiple transactions in a single spout To provide a way to aggregate data from multiple sources into a single stream To provide more fault tolerance in the topology To allow for distributed processing across multiple Storm nodes

Correct Answer: To allow tuples to be replayed if they fail during processing

A transactional spout allows tuples to be replayed if they fail during processing, which is important for maintaining data integrity in real-time applications. For example, if a tuple fails to process due to an error, the transaction can be rolled back and the tuple can be replayed.

Question 2

What is the difference between a Storm topology and a Trident topology?

A Trident topology provides additional abstractions for stream processing, such as Map, Filter, and GroupBy A Trident topology requires fewer nodes to process data than a regular Storm topology A Trident topology uses a different data storage system than a regular Storm topology A Trident topology is not fault tolerant like a regular Storm topology A Trident topology is designed for batch processing rather than stream processing There is no difference between a Storm topology and a Trident topology

Correct Answer: A Trident topology provides additional abstractions for stream processing, such as Map, Filter, and GroupBy

A Trident topology in Apache Storm provides additional abstractions for stream processing, including Map, Filter, and GroupBy, making it easier to perform complex data processing tasks in a distributed, fault-tolerant manner.

Question 3

What is a Spout in Apache Storm?

A type of bolt that filters and processes incoming streams of tuples based on configurable criteria. An option in the Storm configuration that controls the maximum number of tuples that can be processed per second. A tool to visualize the data flow and performance of a Storm topology. A source of data in a Storm topology that generates streams of tuples to be processed by bolts. An operation that aggregates multiple streams of tuples into a single stream based on some function. A type of topology that runs multiple sub-topologies in parallel and merges their outputs.

Correct Answer: A source of data in a Storm topology that generates streams of tuples to be processed by bolts.

A Spout is a source of data in a Storm topology that generates streams of tuples to be processed by bolts. Spouts can read data from a variety of sources such as files, network sockets, databases, or message queues, and emit tuples to one or more downstream bolts for processing.

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