What is the primary purpose of using a match_phrase query in ElasticSearch?
Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Phrase Matching

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To search for documents with similar terms
To search for documents with exact term matches
To search for phrases in a specific order
To search for documents containing any of the terms
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the inverted index help in phrase searching?
It stores the frequency of terms
It stores the order of terms
It stores the number of documents
It stores the length of documents
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the slop value in a phrase search allow you to do?
Search for phrases with similar meanings
Allow terms to be separated by other words
Search for phrases with exact matches
Search for phrases in reverse order
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a phrase search with a slop of 1, which of the following would match the phrase 'quick fox'?
quick brown fox
quick fox jumps
quick and fox
fox quick
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the effect of using a high slop value in a proximity query?
It increases the relevance of documents with terms close together
It allows terms to be in any order
It decreases the relevance of documents with terms close together
It increases the relevance of documents with terms far apart
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between match and match_phrase queries?
Match treats terms independently, match_phrase requires order
Match requires order, match_phrase treats terms independently
Match is faster than match_phrase
Match_phrase is faster than match
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the hands-on example, what was the result of using a match_phrase query for 'Star Wars'?
It returned only Star Wars movies
It returned only Star Trek movies
It returned both Star Trek and Star Wars movies
It returned no movies
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