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.

31

Which query allows optional clauses?

Medium

must

should

filter

must_not

32

What is the default scoring algorithm?

High

TF-IDF

BM25

PageRank

Cosine Similarity

33

What is snapshot used for?

Medium

Search optimization

Backup and restore

Query parsing

Indexing

34

Which API checks cluster health?

Medium

/_cluster/health

/_health

/_status

/_cluster/state

35

What does 'green' cluster status mean?

Medium

All shards allocated

Partial allocation

Cluster down

No replicas

36

Which query supports fuzziness?

Medium

term

match

range

exists

37

What is the purpose of index templates?

High

Define default mappings/settings

Search data

Delete indices

Aggregate data

38

Which API deletes an index?

Easy

DELETE /index

REMOVE /index

DROP /index

CLEAR /index

39

What is fielddata used for?

High

Full-text search

Sorting on text fields

Indexing

Replication

40

What is a nested field?

High

Flat field

Array of objects with independent indexing

Primary key

Replica field

41

Which API updates a document partially?

Medium

PUT

POST _update

PATCH

MERGE

42

What is scroll API used for?

High

Real-time search

Deep pagination

Index creation

Mapping update

43

What is the purpose of routing?

High

Query optimization

Control shard placement

Cluster scaling

Index deletion

44

Which feature improves indexing performance?

Medium

Increasing refresh frequency

Bulk API

Disabling replicas

Using match query

45

What happens when a node fails?

Medium

Data lost permanently

Replica shards are promoted

Cluster stops

Index deleted