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Elasticsearch Quiz Questions and Answers

Answer :
  • <p>PUT _template/logs-template</p>

Explanation :

To create an index template in Elasticsearch, the PUT method is typically used, followed by '_template/template-name'. The correct URL pattern is PUT _template/log-template for a template applying to indices with the 'logs-' prefix.
Answer :
  • To minimize the risk of data corruption

Explanation :

Monitoring cluster health before and after snapshot or restore operations is critical to ensuring data integrity and availability, thus minimizing the risk of corruption or other issues during these processes.
Answer :
  • To restore cluster state and data in case of a failure

Explanation :

The main goal of backing up an Elasticsearch cluster is to ensure that data can be restored in the event of corruption, system failure, or other issues, thus maintaining data integrity and availability.
Answer :
  • To transform text data during indexing and querying

Explanation :

Analyzers in Elasticsearch are used to transform text data during indexing and querying by breaking it down into tokens and possibly applying other changes such as converting to lowercase.
Answer :
  • To enhance the searching capabilities by defining specific tokenizers and filters

Explanation :

A custom analyzer in Elasticsearch is used to enhance search capabilities by defining specific tokenizers and filters, thus tailoring the text analysis process to meet particular needs.
Answer :
  • Increases query complexity but improves HTTP requests efficiency

Explanation :

Combining multiple term queries using a bool query may increase query complexity but improves overall search performance by reducing the number of HTTP requests required to fetch data.
Answer :
  • Analyzing complex text with mixed languages and custom delimiters

Explanation :

A custom analyzer is most useful in scenarios where complex text processing is needed, such as handling mixed languages and special delimiters to improve search relevance and accuracy.
Answer :
  • To apply more complex filtering criteria based on multiple fields

Explanation :

Filter aggregations allow more complex filtering criteria involving multiple fields, whereas terms aggregations are used for grouping documents by unique values of a specific field.
Answer :
  • Potentially improves search relevance by tailoring text analyzation to specific needs

Explanation :

A custom analyzer potentially improves search relevance by allowing specific tokenizers and filters to process the text in ways that better match the intended use cases and queries.
Answer :
  • <p>PUT /index_name/_mappings</p>

Explanation :

To include a custom analyzer in a field, you update the mapping using the PUT /index_name/_mapping command, and specify the analyzer as part of the field's mapping configuration.