ElasticSearch ElasticSearch Search & Query DSL 3

Question 1

What is a 'range' query in Elasticsearch?

Accepted Answer

A query that finds documents where a field value falls within a specified range

Answer

A query that searches across multiple indices

Answer

A query that measures shard distance

Answer

A query that returns a random sample of documents

Question 2

What is the purpose of 'aggregations' in Elasticsearch?

Accepted Answer

To summarize and analyze data, similar to SQL GROUP BY

Answer

To combine multiple indices into one

Answer

To merge shard results into one response

Answer

To aggregate logs from multiple nodes

Question 3

What does a 'terms' aggregation return in Elasticsearch?

Accepted Answer

The top unique values of a field with their document counts

Answer

All terms in the inverted index

Answer

A list of all analyzed tokens for a query

Answer

A frequency distribution across date intervals

Question 4

What is the Elasticsearch 'scroll' API used for?

Accepted Answer

Efficiently retrieving large numbers of results by maintaining a search context

Answer

Navigating the Kibana UI

Answer

Scrolling through cluster logs

Answer

Paginating through aggregation buckets

Question 5

What is a 'multi_match' query in Elasticsearch?

Accepted Answer

A query that runs the same match query across multiple fields

Answer

A query that matches multiple document IDs at once

Answer

A query that performs multiple match types in sequence

Answer

A query that searches across multiple indices simultaneously

Question 6

What does the 'exists' query do in Elasticsearch?

Accepted Answer

Returns documents that contain at least one non-null value for a specified field

Answer

Checks if an index exists

Answer

Verifies if a node is available

Answer

Checks if a specific document ID exists