Recall & Review
beginner
What is the main use of the text field type in Elasticsearch?
The text field type is used for full-text search. It breaks the content into words (tokens) so you can search for individual words or phrases inside the text.
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beginner
What is the keyword field type best suited for in Elasticsearch?
The keyword field type is used for structured data like IDs, tags, or categories. It stores the whole value exactly as it is, without breaking it into words, so it is good for exact matches and sorting.
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intermediate
How does Elasticsearch treat text fields differently from keyword fields during indexing?
Text fields are analyzed and broken into tokens (words) for searching, while keyword fields are not analyzed and stored as a single token for exact matching.
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beginner
Can you use keyword fields for full-text search in Elasticsearch?
No, keyword fields are not suitable for full-text search because they do not break the text into words. They are meant for exact matches and aggregations.
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beginner
Why might you choose a text field over a keyword field for a user comment?
Because user comments are long and need to be searched by words or phrases, a text field is better since it allows full-text search by breaking the comment into tokens.
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Which Elasticsearch field type should you use to store a product ID for exact matching?
✗ Incorrect
Product IDs are exact values, so the keyword field type is best for exact matching.
What happens to a text field during indexing in Elasticsearch?
✗ Incorrect
Text fields are analyzed and broken into tokens to allow full-text search.
Which field type is better for sorting values alphabetically in Elasticsearch?
✗ Incorrect
Keyword fields store exact values and are suitable for sorting.
Can you perform phrase searches on a keyword field?
✗ Incorrect
Keyword fields are not tokenized, so phrase searches are not possible.
Which field type would you use for storing a user's full name if you want to search by parts of the name?
✗ Incorrect
Text fields allow searching by parts of the name because they are tokenized.
Explain the difference between the text and keyword field types in Elasticsearch.
Think about how the data is stored and searched.
You got /4 concepts.
When would you choose a keyword field over a text field in Elasticsearch?
Consider the type of search or operation you want to perform.
You got /4 concepts.