Elastic Search Interview Questions and Answers

Elastic Search Interview Questions and Answers

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Official clients are available in Java, .NET (C#), PHP, Python, Apache Groovy and many other languages. According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene.

Elasticsearch is developed alongside a data-collection and log-parsing engine called Logstash, and analytics and visualization platform called Kibana. The three products are designed for use as an integrated solution, referred to as the “Elastic Stack” (formerly the “ELK stack”).

Shay Banon created the precursor to Elasticsearch, called Compass, in 2004. Since the first version of Elasticsearch was released in 2010, it has quickly become the most popular search engine, and is commonly used for log analytics, full-text search, and operational intelligence use cases.

What is Elastic Search?

What are the features of Elasticsearch?

What are the Basic Concepts of Elasticsearch?

What is a Replica in Elasticsearch?

What are the core field’s type in Elasticsearch?

What are the predefined fields in Elasticsearch?

What is inverted index in Elasticsearch?

What are the basic operations you can perform on a document?

How to identify a document uniquely in Elasticsearch?

What is horizontal scaling in Elasticsearch?

What is vertical scaling in Elasticsearch?

Can you explain Analyzers in Elasticsearch?

What is from component in search request?

What are the some built token filter in Elasticsearch?

What is character filtering?

What is the difference between match query and term query in Elasticsearch?

What is use of attributes- enabled, index and store?

What is a filter in Elasticsearch?

What are the pros and cons of Elasticsearch?

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