[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"me":3,"catalog:en:database\u002Fnosql-models":4,"config":214},null,{"field_key":5,"field_name":6,"seniority":7,"topic_key":8,"topic_name":9,"spec_key":7,"spec_name":7,"locale":10,"cell_total":11,"field_total":12,"seniorities":13,"topics":17,"specs":115,"samples":129},"database","Database","","nosql-models","Nosql Models","en",75,2475,[14,15,16],"junior","mid","senior",[18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,64,67,70,73,76,79,82,85,88,91,94,97,100,103,106,109,112],{"key":19,"name":20,"count":11},"backup-recovery","Backup Recovery",{"key":22,"name":23,"count":11},"data-modeling","Data Modeling",{"key":25,"name":26,"count":11},"indexing","Indexing",{"key":28,"name":29,"count":11},"mongodb-aggregation","Mongodb Aggregation",{"key":31,"name":32,"count":11},"mongodb-indexes-queries","Mongodb Indexes Queries",{"key":34,"name":35,"count":11},"mongodb-operations","Mongodb Operations",{"key":37,"name":38,"count":11},"mongodb-replication-sharding","Mongodb Replication Sharding",{"key":40,"name":41,"count":11},"mongodb-schema-modeling","Mongodb Schema Modeling",{"key":43,"name":44,"count":11},"mongodb-transactions-consistency","Mongodb Transactions Consistency",{"key":46,"name":47,"count":11},"mysql-indexes","Mysql Indexes",{"key":49,"name":50,"count":11},"mysql-innodb-transactions","Mysql Innodb Transactions",{"key":52,"name":53,"count":11},"mysql-operations","Mysql Operations",{"key":55,"name":56,"count":11},"mysql-query-optimization","Mysql Query Optimization",{"key":58,"name":59,"count":11},"mysql-replication-scaling","Mysql Replication Scaling",{"key":61,"name":62,"count":11},"mysql-types-constraints","Mysql Types Constraints",{"key":8,"name":9,"count":11},{"key":65,"name":66,"count":11},"performance-tuning","Performance Tuning",{"key":68,"name":69,"count":11},"pg-indexes","Pg Indexes",{"key":71,"name":72,"count":11},"pg-mvcc-vacuum","Pg Mvcc Vacuum",{"key":74,"name":75,"count":11},"pg-operations","Pg Operations",{"key":77,"name":78,"count":11},"pg-query-planning","Pg Query Planning",{"key":80,"name":81,"count":11},"pg-transactions-locking","Pg Transactions Locking",{"key":83,"name":84,"count":11},"pg-types-constraints","Pg Types Constraints",{"key":86,"name":87,"count":11},"query-optimization","Query Optimization",{"key":89,"name":90,"count":11},"redis-cluster-sharding","Redis Cluster Sharding",{"key":92,"name":93,"count":11},"redis-data-structures","Redis Data Structures",{"key":95,"name":96,"count":11},"redis-expiration-eviction","Redis Expiration Eviction",{"key":98,"name":99,"count":11},"redis-persistence","Redis Persistence",{"key":101,"name":102,"count":11},"redis-replication-sentinel","Redis Replication Sentinel",{"key":104,"name":105,"count":11},"redis-transactions-scripting","Redis Transactions Scripting",{"key":107,"name":108,"count":11},"replication-scaling","Replication Scaling",{"key":110,"name":111,"count":11},"security-access","Security Access",{"key":113,"name":114,"count":11},"transactions-isolation","Transactions Isolation",[116,120,123,126],{"key":117,"name":118,"count":119},"mongodb","MongoDB",450,{"key":121,"name":122,"count":119},"mysql","MySQL",{"key":124,"name":125,"count":119},"postgresql","PostgreSQL",{"key":127,"name":128,"count":119},"redis","Redis",[130,148,161,175,188,201],{"id":131,"topic":9,"difficulty":132,"body":133,"options":134,"correct_key":139,"explanation":147},"019f56bb-b633-72ec-a9b1-1474be3ebbe0",1,"In a document-oriented NoSQL database, what is the basic unit of data?",[135,138,141,144],{"key":136,"text":137},"a","A fixed row that must match a predefined table schema",{"key":139,"text":140},"b","A self-describing document (e.g. JSON\u002FBSON) that can hold nested fields",{"key":142,"text":143},"c","A single value retrieved only by its exact key",{"key":145,"text":146},"d","A node connected to other nodes by labeled edges","Document stores keep data as self-describing documents (JSON\u002FBSON), so each document carries its own structure and can nest fields and arrays. A fixed table row (a) describes the relational model; retrieval only by key (c) is the key-value model; nodes and edges (d) describe a graph database.",{"id":149,"topic":9,"difficulty":132,"body":150,"options":151,"correct_key":145,"explanation":160},"019f56bb-b635-7426-ac92-8def055af18b","Which workload is a key-value store the most natural fit for?",[152,154,156,158],{"key":136,"text":153},"Ad-hoc reporting that filters and aggregates across many attributes",{"key":139,"text":155},"Enforcing foreign keys across several normalized tables",{"key":142,"text":157},"Traversing friend-of-friend relationships across a large social network",{"key":145,"text":159},"Storing user sessions or cache entries looked up by a single id","A key-value store maps an opaque key to a value and is optimized for fast get\u002Fput by key — ideal for sessions and caches. Ad-hoc filtering across many attributes (a) needs richer query support; foreign keys and normalization (b) are relational features; multi-hop relationship traversal (c) is what graph databases target.",{"id":162,"topic":9,"difficulty":163,"body":164,"options":165,"correct_key":136,"explanation":174},"019f56bb-b639-7dae-a6bc-8cf18789bc4d",2,"A document database stores this order:\n```json\n{\n  \"orderId\": \"A-100\",\n  \"customer\": { \"name\": \"Lee\", \"city\": \"Berlin\" },\n  \"items\": [\n    { \"sku\": \"X1\", \"qty\": 2 },\n    { \"sku\": \"X2\", \"qty\": 1 }\n  ]\n}\n```\nWhy can a document database keep the customer and items *inside* the order like this, while a normalized relational design usually would not?",[166,168,170,172],{"key":136,"text":167},"A document holds nested objects and arrays as one self-contained unit, keeping related data together",{"key":139,"text":169},"JSON documents may never reference other documents, so all data must always be embedded inline",{"key":142,"text":171},"The engine transparently splits the nested fields into hidden relational tables behind the scenes",{"key":145,"text":173},"Relational tables can never store more than one related child row for a given parent entity","Document databases model an aggregate: one document can embed sub-objects and arrays, so an order carries its customer and line items together and is read in a single lookup. Documents can also reference other documents (b is false), the engine does not secretly normalize them (c), and relational tables can absolutely hold many child rows via a separate table (d).",{"id":176,"topic":9,"difficulty":132,"body":177,"options":178,"correct_key":142,"explanation":187},"019f56bb-b643-7def-9984-1d5bf6006148","Which list correctly names four common categories of NoSQL databases?",[179,181,183,185],{"key":136,"text":180},"Relational, hierarchical, network, and object",{"key":139,"text":182},"Primary, secondary, clustered, and covering",{"key":142,"text":184},"Document, key-value, wide-column, and graph",{"key":145,"text":186},"OLTP, OLAP, columnar, and in-memory","The four widely cited NoSQL families are document, key-value, wide-column, and graph, each with a different data model. Option (a) lists older\u002Frelational database models, (b) lists index types, and (d) mixes workload and storage categories rather than NoSQL data models.",{"id":189,"topic":9,"difficulty":163,"body":190,"options":191,"correct_key":139,"explanation":200},"019f56bb-b645-706a-b0e0-c0d93b2d16ab","An app must answer questions like 'who are the friends-of-friends of user X, up to 3 hops away?' over a large, highly connected social network. Which NoSQL model fits best?",[192,194,196,198],{"key":136,"text":193},"Key-value store, using the user id as the key",{"key":139,"text":195},"Graph database, modeling users as nodes and friendships as edges",{"key":142,"text":197},"Wide-column store, with one very wide row per user",{"key":145,"text":199},"Document store, embedding each user's entire friend tree in one document","Multi-hop relationship traversal is exactly what graph databases optimize: nodes and edges let you walk connections without expensive repeated joins. A key-value store (a) can't traverse relationships; a single wide-column row (c) doesn't model arbitrary connections; and embedding the whole friend tree in one document (d) explodes in size and duplicates data badly.",{"id":202,"topic":9,"difficulty":163,"body":203,"options":204,"correct_key":145,"explanation":213},"019f56bb-b648-7277-8919-adaf1576b3aa","A team claims 'NoSQL is always faster and better than a relational database, so we should drop SQL entirely.' Why is this reasoning flawed?",[205,207,209,211],{"key":136,"text":206},"NoSQL databases fundamentally cannot scale horizontally, so relational is the only safe default",{"key":139,"text":208},"There is no real difference; 'SQL' and 'NoSQL' are just two names for the exact same technology",{"key":142,"text":210},"Relational databases always outperform NoSQL in every possible scenario, so migrating to NoSQL is simply never worth the effort",{"key":145,"text":212},"NoSQL trades away features like joins and multi-row ACID for scale or flexibility; the best fit depends on the workload","NoSQL is not universally superior: different NoSQL models give up things like general-purpose joins or strong multi-record transactions to gain scale or flexibility, so suitability depends on the access patterns. The other options are absolutes — NoSQL can scale horizontally (a is wrong), the two are genuinely different approaches (b), and neither wins in every case (c).",{"fields":215,"seniorities":394,"interview_shapes":395,"locales":400,"oauth":402,"question_count":405,"coach_enabled":406,"jd_match_enabled":406},[216,241,261,278,302,315,324,343,365,375,381,388],{"key":217,"name_tr":218,"name_en":218,"sort":132,"specializations":219},"backend","Backend",[220,223,226,229,232,235,238],{"key":221,"name":222,"field":217},"general","Genel",{"key":224,"name":225,"field":217},"go","Go",{"key":227,"name":228,"field":217},"python","Python",{"key":230,"name":231,"field":217},"java","Java",{"key":233,"name":234,"field":217},"csharp","C#\u002F.NET",{"key":236,"name":237,"field":217},"nodejs","Node.js",{"key":239,"name":240,"field":217},"php","PHP",{"key":242,"name_tr":243,"name_en":243,"sort":163,"specializations":244},"frontend","Frontend",[245,246,249,252,255,258],{"key":221,"name":222,"field":242},{"key":247,"name":248,"field":242},"javascript","JavaScript",{"key":250,"name":251,"field":242},"typescript","TypeScript",{"key":253,"name":254,"field":242},"react","React",{"key":256,"name":257,"field":242},"vue","Vue",{"key":259,"name":260,"field":242},"angular","Angular",{"key":262,"name_tr":263,"name_en":263,"sort":264,"specializations":265},"fullstack","Fullstack",3,[266,267,268,269,270,271,272,273,274,275,276,277],{"key":221,"name":222,"field":262},{"key":224,"name":225,"field":217},{"key":227,"name":228,"field":217},{"key":230,"name":231,"field":217},{"key":233,"name":234,"field":217},{"key":236,"name":237,"field":217},{"key":239,"name":240,"field":217},{"key":247,"name":248,"field":242},{"key":250,"name":251,"field":242},{"key":253,"name":254,"field":242},{"key":256,"name":257,"field":242},{"key":259,"name":260,"field":242},{"key":279,"name_tr":280,"name_en":280,"sort":281,"specializations":282},"devops-cloud","DevOps \u002F Cloud",4,[283,284,287,290,293,296,299],{"key":221,"name":222,"field":279},{"key":285,"name":286,"field":279},"aws","AWS",{"key":288,"name":289,"field":279},"gcp","GCP",{"key":291,"name":292,"field":279},"azure","Azure",{"key":294,"name":295,"field":279},"kubernetes","Kubernetes",{"key":297,"name":298,"field":279},"terraform","Terraform",{"key":300,"name":301,"field":279},"linux","Linux",{"key":303,"name_tr":304,"name_en":304,"sort":305,"specializations":306},"ai-engineer","AI Engineer",5,[307,308,309,312],{"key":221,"name":222,"field":303},{"key":227,"name":228,"field":303},{"key":310,"name":311,"field":303},"llm-rag","LLM\u002FRAG",{"key":313,"name":314,"field":303},"mlops","MLOps",{"key":5,"name_tr":316,"name_en":6,"sort":317,"specializations":318},"Veritabanı",6,[319,320,321,322,323],{"key":221,"name":222,"field":5},{"key":124,"name":125,"field":5},{"key":121,"name":122,"field":5},{"key":117,"name":118,"field":5},{"key":127,"name":128,"field":5},{"key":325,"name_tr":326,"name_en":327,"sort":328,"specializations":329},"mobile","Mobil","Mobile",7,[330,331,334,337,340],{"key":221,"name":222,"field":325},{"key":332,"name":333,"field":325},"ios-swift","iOS (Swift)",{"key":335,"name":336,"field":325},"android-kotlin","Android (Kotlin)",{"key":338,"name":339,"field":325},"flutter","Flutter",{"key":341,"name":342,"field":325},"react-native","React Native",{"key":344,"name_tr":345,"name_en":346,"sort":347,"specializations":348},"security","Güvenlik","Security",8,[349,350,353,356,359,362],{"key":221,"name":222,"field":344},{"key":351,"name":352,"field":344},"appsec","AppSec",{"key":354,"name":355,"field":344},"offensive-pentest","Offensive \u002F Pentest",{"key":357,"name":358,"field":344},"cloud-security","Cloud Security",{"key":360,"name":361,"field":344},"devsecops","DevSecOps",{"key":363,"name":364,"field":344},"blue-team-incident","Blue Team \u002F Incident",{"key":366,"name_tr":367,"name_en":368,"sort":369,"specializations":370},"qa-test-automation","QA \u002F Test Otomasyonu","QA \u002F Test Automation",9,[371,372],{"key":221,"name":222,"field":366},{"key":373,"name":374,"field":366},"test-automation","Test Automation",{"key":376,"name_tr":377,"name_en":377,"sort":378,"specializations":379},"data-engineer","Data Engineer",10,[380],{"key":221,"name":222,"field":376},{"key":382,"name_tr":383,"name_en":384,"sort":385,"specializations":386},"game-dev","Oyun Geliştirme","Game Development",11,[387],{"key":221,"name":222,"field":382},{"key":389,"name_tr":390,"name_en":390,"sort":391,"specializations":392},"ml-engineer","ML Engineer",12,[393],{"key":221,"name":222,"field":389},[14,15,16],{"junior":396,"mid":398,"senior":399},{"questions":397,"median_sec":3},20,{"questions":397,"median_sec":3},{"questions":397,"median_sec":3},[401,10],"tr",[403,404],"google","github",22200,true]