Advanced~4h
Search & Indexing in System DesignInterview Readiness Check
Inverted index, Elasticsearch, relevance ranking, vector search, autocomplete.
elasticsearchinverted-indexfull-text-searchvector-searchbm25autocompletefaceted-search
Learning path
Try a sample question
What is an inverted index?
A.A data structure that maps each word to the list of documents containing it — the core data structure behind full-text search engines
B.An index stored in reverse alphabetical order
C.An index that maps document IDs to their content
D.A backwards B-tree used for range queries
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of search & indexing fundamentals
- Trade-offs and design decisions in real system scenarios
- elasticsearch and inverted-index — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Search & Indexing check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Search & Indexing check test?
- The check covers inverted index, elasticsearch, relevance ranking, vector search, autocomplete. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Search & Indexing?
- Key concepts include: elasticsearch, inverted-index, full-text-search, vector-search, bm25, autocomplete, faceted-search. These frequently appear in system design interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Search & Indexing?
- Most engineers spend around 4 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Search & Indexing?
- Search & Indexing builds on Databases and Scalability. Complete those first for the best results.
- Is elasticsearch, inverted-index, full-text-search covered?
- Yes. The Search & Indexing module covers elasticsearch, inverted-index, full-text-search among other key concepts. The check includes questions that reflect real system design interview patterns.