Elasticsearch Objective Questions and Answers - Set 2

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. This is part 2 of the series.

Practice Elasticsearch MCQs with Detailed Explanations

Answer at least 12 questions to submit and verify answers.

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