ElasticSearch ElasticSearch MCQ 2

Question 1

Which Elasticsearch data type should you use to store a field that will be used for both full-text search and exact keyword matching?

Accepted Answer

multi-field with text and keyword sub-fields

Answer

A multi-field mapping allows the same field to be indexed as both 'text' for full-text search and 'keyword' for exact matching and aggregations.

Question 2

What happens when Elasticsearch receives a document with a field not defined in the current mapping and dynamic mapping is enabled?

Accepted Answer

Elasticsearch automatically adds the new field to the mapping

Answer

With dynamic mapping enabled (the default), Elasticsearch detects and maps new fields automatically when a document containing them is first indexed.

Question 3

In an Elasticsearch cluster, what is the role of a 'coordinating-only' node?

Accepted Answer

It stores no data and only routes requests and aggregates results

Answer

A coordinating-only node acts as a smart load balancer, routing requests to appropriate shards and merging results without holding data or cluster state.

Question 4

Which query clause in Elasticsearch does NOT affect the relevance score of matching documents?

Accepted Answer

filter

Answer

Filter clauses operate in filter context, meaning they only determine if a document matches (yes/no) without calculating or contributing to a relevance score.

Question 5

What is the purpose of the 'refresh_interval' setting in Elasticsearch?

Accepted Answer

Controls how often a new segment is written making recent changes searchable

Answer

The refresh_interval (default 1s) determines how frequently Elasticsearch writes a new Lucene segment, making recently indexed documents available for search.

ElasticSearch Practice Test

ElasticSearch Practice Test

ElasticSearch ElasticSearch MCQ 2