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Elasticsearch Objective Questions and Answers

Test your skills with Elasticsearch objective questions with answers and detailed explanations. Covers indexing, queries, aggregations, mappings, clusters, performance tuning, and real-world search scenarios.

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
Answered: 0 / 15

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