ElasticSearch ElasticSearch MCQ 5

Question 1

What is the purpose of the Elasticsearch 'alias' feature?

Accepted Answer

To create a secondary name pointing to one or more indices, enabling zero-downtime reindexing

Answer

Index aliases provide an alternate name for one or more indices, allowing transparent switching between index versions during reindexing without application changes.

Question 2

Which Elasticsearch query is most appropriate for implementing autocomplete or prefix-based search functionality?

Accepted Answer

prefix or completion suggester

Answer

The prefix query or the completion suggester (with 'completion' mapped field type) are specifically designed for efficient prefix-based and autocomplete search scenarios.

Question 3

What is the default behavior of Elasticsearch when you index a document with an existing ID?

Accepted Answer

It fully replaces the existing document and increments the version

Answer

Indexing a document with an existing ID replaces the entire document and increments the internal version number; for partial updates, use the Update API.

Question 4

Which Elasticsearch component is responsible for converting text into tokens during indexing and search?

Accepted Answer

Analyzer (which chains character filters, tokenizer, and token filters)

Answer

An analyzer is the full analysis chain consisting of optional character filters, a required tokenizer, and optional token filters that together transform text into searchable tokens.

Question 5

In Elasticsearch, what does a 'nested' field type enable that a standard 'object' type does not?

Accepted Answer

Storing arrays of objects where each object can be independently queried

Answer

The nested type stores each object in an array as a separate hidden Lucene document, allowing queries that match across fields within the same array object independently.

ElasticSearch Practice Test

ElasticSearch Practice Test

ElasticSearch ElasticSearch MCQ 5