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Search engines collect, index, retrieve, and rank documents to provide relevant results.

An inverted index helps search engines quickly find documents containing specific terms.

Elasticsearch fuzzy search allows finding results even with typos in queries.

Choose Elasticsearch for complex text searches, but use databases for structured queries.

B-Trees help databases find data quickly without scanning every row.

Elasticsearch distributes search queries across shards to find and retrieve results quickly.

Elasticsearch offers two pagination methods: from & size for shallow pages and search_after for deep pages.

Filters check conditions without affecting relevance, while queries do.

Elasticsearch uses shards for data distribution and replicas for redundancy.

A document in Elasticsearch isn't searchable right after it's saved due to the refresh process.

FAANG interviewers evaluate problem understanding, architecture, scalability, and communication skills.