Free ElasticSearch MCQ Questions And Answers — Questions and Answers

Question 1: First release of Elasticsearch

2012
2011
2010 (Correct answer)
2009

Correct answer: 2010

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

Python
Java (Correct answer)
C++
C

Correct answer: Java

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

3000/tcp
9300/utp
3000/ip
9300/tcp (Correct answer)

Correct answer: 9300/tcp

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 .

100
10
1000 (Correct answer)
1

Correct answer: 1000

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

Document
Index
Cluster (Correct answer)
Node

Correct answer: Cluster

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.

Question 6: Which of the following benefits of elasticsearch is beneficial

Elasticsearch uses JSON objects as responses
Elasticsearch is distributed
Elasticsearch is real time
All of the above (Correct answer)

Correct answer: All of the above

Elasticsearch offers several significant benefits, including its distributed nature, which allows for horizontal scalability and high availability. It provides real-time search and analytics capabilities, meaning data is available for querying almost immediately after indexing. Furthermore, its use of JSON objects for both input and output makes it highly developer-friendly and easy to integrate with web applications.

Question 7: Which versioning system uses a default increment of 1 for each update, including deletes?

External
Internal (Correct answer)
Externa & Internal
None of the above

Correct answer: Internal

Elasticsearch uses an internal versioning system that automatically increments the `_version` number of a document by 1 with every update or delete operation. This internal versioning is crucial for optimistic concurrency control, ensuring that updates are applied to the most recent version of a document and preventing conflicts when multiple clients try to modify the same document simultaneously.

Free ElasticSearch MCQ Questions And Answers

First release of Elasticsearch