Recall & Review
beginner
What is a full-text search engine?
A full-text search engine helps find words or phrases inside large amounts of text quickly. It looks inside documents, not just titles or tags.
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intermediate
What is an inverted index in full-text search?
An inverted index is like a big dictionary that tells which documents contain each word. It helps the search engine find matches fast.
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intermediate
How does Elasticsearch handle text analysis before searching?
Elasticsearch breaks text into words (tokens), lowers case, removes common words (stop words), and may stem words to their root form to improve search matches.
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intermediate
What is relevance scoring in full-text search?
Relevance scoring ranks search results by how well they match the query. Higher scores mean better matches, so the best results show first.
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beginner
Why is full-text search different from simple keyword search?
Full-text search understands language better. It can find words inside text, handle word forms, and rank results by importance, unlike simple keyword search that looks for exact matches only.
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What does an inverted index store?
✗ Incorrect
An inverted index maps each word to the list of documents containing it, enabling fast search.
Which process breaks text into smaller pieces for searching?
✗ Incorrect
Tokenization splits text into words or tokens, which are then indexed for search.
What is the purpose of stop words in full-text search?
✗ Incorrect
Stop words like 'the' or 'and' are often removed because they don't help find meaningful results.
How does Elasticsearch improve search result relevance?
✗ Incorrect
Elasticsearch uses scoring algorithms to rank results so the best matches appear first.
Which feature allows full-text search to find different forms of a word?
✗ Incorrect
Stemming reduces words to their root form, so 'running' and 'runs' match the same base word.
Explain how an inverted index helps a full-text search engine find results quickly.
Think about a dictionary that tells you where to find each word.
You got /3 concepts.
Describe the steps Elasticsearch takes to analyze text before searching.
Consider how raw text is prepared to match search queries better.
You got /4 concepts.