Elasticsearch Interview Questions and Answers
Ques 26. How does Elasticsearch handle relevance scoring in search results?
Elasticsearch uses a scoring algorithm based on the relevance of documents to the search query.
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Ques 27. What is Elasticsearch?
Elasticsearch is a distributed search and analytics engine built on top of Apache Lucene. It provides a scalable and real-time search solution.
Example:
GET /index/_search?q=query
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Ques 28. Explain the term 'Mapping Conflict' in Elasticsearch.
Mapping conflict occurs when conflicting field types are encountered during dynamic mapping.
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Ques 29. Explain the concept of an index in Elasticsearch.
An index in Elasticsearch is a collection of documents that share similar characteristics. It is similar to a database in relational databases.
Example:
PUT /my_index
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Ques 30. What is the purpose of the 'Snapshot' and 'Restore' feature in Elasticsearch?
Snapshot and Restore allow for the backup and recovery of an entire cluster or specific indices.
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