Elasticsearch Objective Questions and Answers

This Elasticsearch quiz contains carefully curated objective questions with correct answers and clear explanations. It is designed for developers, backend engineers, and interview preparation, covering indexing, querying, aggregation, scaling, and performance optimization techniques.

Practice Elasticsearch MCQs with Detailed Explanations

Answer at least 12 questions to submit.

16

What happens if you index a document with an existing ID?

Medium
17

Which feature enables near real-time search?

High
18

What is a mapping in Elasticsearch?

Medium
19

Which field type is analyzed by default?

Medium
20

What does 'doc_values' help with?

High
21

Which query is best for numeric ranges?

Easy
22

What is a cluster in Elasticsearch?

Easy
23

Which node type manages cluster state?

Medium
24

What is the purpose of ingest pipelines?

Medium
25

Which aggregation calculates average value?

Easy
26

What is index alias used for?

High
27

Which query boosts relevance score?

High
28

What is reindex API used for?

Medium
29

Which feature supports autocomplete?

High
30

What is the purpose of scoring in Elasticsearch?

Medium