AVL TREE Practice Questions

Duration: 3 min

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Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture focuses on constructing and modifying AVL trees through insertion and deletion operations. The instructor begins by presenting a problem requiring the insertion of a specific sequence of keys (A, Z, B, Y, C, X, D, W, V, U, T) to build an AVL tree. He meticulously draws the tree on a digital whiteboard, applying necessary rotations (LL, RR, LR, RL) to maintain the balance factor property at each step. After completing the insertion phase, he identifies the root of the resulting tree from multiple-choice options. The second part of the lecture transitions to deletion operations. Using the previously constructed tree, the instructor demonstrates the removal of specific nodes (A, Z, B, Y, C) and explains how the tree rebalances itself after each deletion. He concludes by identifying the new root of the modified tree, reinforcing the dynamic nature of AVL tree maintenance.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces a problem asking to insert keys A, Z, B, Y, C, X, D, W, V, U, T in order to build an AVL tree. He starts drawing the tree structure, beginning with A as the root. As he inserts subsequent keys like Z, B, and Y, he draws the nodes and edges in red ink. He encounters imbalance and performs rotations, specifically noting an LL rotation. The diagram evolves into a complex structure with nodes like C, E, D, F, X, Z. He evaluates the final tree structure against the options provided on screen: a) C, b) D, c) E, d) V. He concludes that the root of the resultant tree is E, marking option (c) as the correct answer.

  2. 2:00 – 3:17 02:00-03:17

    The lecture shifts to a deletion problem based on the previously built tree. The question asks for the new root if keys A, Z, B, Y, C are deleted. The instructor crosses out the nodes A, Z, B, Y, and C on his diagram. He then redraws the remaining structure, showing how the tree reorganizes. A slide titled 'Deletion in an AVL tree' appears, displaying a flowchart with cases like L, R, L0, L1, R0, R1, RR, RL, LL, LR. He continues to manipulate the tree diagram, showing the removal of nodes and the resulting connections. Finally, he identifies the new root as V, marking option (d) as the correct answer.

The video provides a practical demonstration of AVL tree mechanics. It starts with the construction phase, emphasizing the importance of rotations during insertion to maintain balance. It then transitions to the deletion phase, showing that the tree must be re-balanced even after removing nodes. The instructor uses visual aids and step-by-step drawing to clarify complex balancing operations like LL, RR, and rotations, ensuring students understand how the root can change dynamically.

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