ElasticSearch Technology & Digital Applications 4

Question 1

What is the purpose of the Elasticsearch 'shrink' API?

Accepted Answer

To reduce the number of primary shards in an index

Answer

The shrink API allows you to reduce the number of primary shards in an index, useful for optimizing indices that have grown past their initial shard requirements.

Question 2

In Elasticsearch, what is a 'nested' field type used for?

Accepted Answer

Indexing arrays of objects while preserving inner object relationships

Answer

Nested fields allow arrays of objects to be indexed independently, preserving the relationship between fields within each object for accurate querying.

Question 3

What does the 'profile' API in Elasticsearch help with?

Accepted Answer

Detailed timing breakdown of query and aggregation execution

Answer

The profile API provides detailed timing information about how each component of a search query and its aggregations executed, helping identify bottlenecks.

Question 4

Which Elasticsearch mechanism allows you to automatically enrich documents at index time using data from another index?

Accepted Answer

Ingest enrichment processor

Answer

The enrich processor in an ingest pipeline looks up matching documents in an enrich index and adds that data to incoming documents at index time.

Question 5

What is the difference between 'filter' context and 'query' context in Elasticsearch?

Accepted Answer

Query context scores documents for relevance; filter context does not score and is cacheable

Answer

Query context contributes to relevance scoring, while filter context only determines inclusion/exclusion and results are cached for better performance.

ElasticSearch Practice Test

ElasticSearch Practice Test

ElasticSearch Technology & Digital Applications 4