Free ElasticSearch MCQ Questions And Answers

Question 1

First release of Elasticsearch

Accepted Answer

2010

Answer

Elasticsearch was first released in February 2010 by Shay Banon. It was developed as a distributed, open-source search engine built on top of Apache Lucene. Its initial release marked the beginning of its journey to become a widely adopted solution for full-text search, log analysis, and real-time analytics.

Question 2

Coding language employed by Elasticsearch

Accepted Answer

Java

Answer

Elasticsearch is primarily written in Java. Its core engine, including the underlying Apache Lucene library, is developed using Java. This choice of language contributes to its cross-platform compatibility, performance, and the availability of a vast ecosystem of tools and libraries.

Question 3

The default communication port for Elasticsearch is

Accepted Answer

9300/tcp

Answer

Elasticsearch uses two primary default ports: 9200/tcp for HTTP REST API communication and 9300/tcp for inter-node communication within the cluster. The 9300 port is used by nodes to communicate with each other, form a cluster, and replicate data. While 9200 is for client interaction, 9300 is crucial for the internal workings of the cluster.

Question 4

Shards per node in Elasticsearch 7.x and later are limited to .

Accepted Answer

1000

Answer

In Elasticsearch 7.x and later, a soft limit of 1000 shards per node is enforced by default. This limit is in place to prevent performance degradation and stability issues that can arise from having too many shards on a single node, as each shard consumes memory and CPU resources. While configurable, exceeding this limit is generally discouraged for optimal cluster health.

Question 5

Which of the following groups of nodes contains one or more

Accepted Answer

Cluster

Answer

In Elasticsearch, a cluster is the highest-level organizational unit, representing a collection of one or more nodes. These nodes work together to hold all the data and provide federated indexing and search capabilities. A cluster can be as small as a single node or scale out to hundreds of nodes to handle massive amounts of data and traffic.

ElasticSearch Practice Test

ElasticSearch Practice Test

Free ElasticSearch MCQ Questions And Answers