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

Vertical scaling means upgrading one server, while horizontal scaling means adding more servers.

Latency is the time for one request, while throughput is how many requests are processed.

Latency, throughput, and response time are key metrics in system performance.

HLD provides an overview of system architecture, while LLD details implementation specifics.

L4 and L7 load balancers differ in how they route network traffic based on layers of the OSI model.

Functional requirements define what a system does, while non-functional requirements define how it performs.

Leader election helps distributed systems select one coordinator from many nodes.

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

Elasticsearch uses analyzers and synonyms to improve search accuracy by connecting similar words.

Elasticsearch offers three main autocomplete strategies, each with unique benefits and trade-offs.

Elasticsearch aggregations help analyze data by grouping, calculating, and estimating values.

Optimizing Elasticsearch involves using filters, caching, and measuring performance.

Deep pagination in Elasticsearch can slow down searches significantly, but there are efficient methods to handle it.

Elasticsearch ILM automates index management to reduce storage costs and meet data needs.

You can update Elasticsearch indices without downtime using alias switching.