Elasticsearch - Basics and ArchitectureHow does Elasticsearch handle multiple occurrences of the same term in a single document within the inverted index?AIt stores the document ID multiple times for each occurrenceBIt stores the document ID once with a frequency countCIt ignores repeated occurrences after the firstDIt creates separate term entries for each occurrenceCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand term frequency in inverted indexElasticsearch stores each document ID once per term but tracks how often the term appears.Step 2: Evaluate optionsStoring multiple IDs or ignoring frequency is inefficient or inaccurate.Final Answer:It stores the document ID once with a frequency count -> Option BQuick Check:Doc ID stored once with frequency count [OK]Quick Trick: One doc ID per term with frequency count stored [OK]Common Mistakes:MISTAKESStoring duplicate doc IDsIgnoring term frequencyCreating multiple term entries
Master "Basics and Architecture" in Elasticsearch9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More Elasticsearch Quizzes Basic Search Queries - Why search is Elasticsearch's core purpose - Quiz 9hard Document Operations - Indexing a document (POST/PUT) - Quiz 7medium Document Operations - Indexing a document (POST/PUT) - Quiz 3easy Elasticsearch Basics and Architecture - Full-text search engine concept - Quiz 8hard Mappings and Data Types - Numeric field types - Quiz 13medium Mappings and Data Types - Text vs keyword field types - Quiz 1easy Mappings and Data Types - Object and nested types - Quiz 4medium Mappings and Data Types - Boolean and binary types - Quiz 6medium Mappings and Data Types - Geo-point and geo-shape types - Quiz 2easy Search Results and Scoring - Why relevance scoring ranks results - Quiz 1easy