AVL TREE Practice Questions

Duration: 2 min

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Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
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  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment focuses on solving a specific practice problem involving AVL tree construction. The instructor demonstrates how to build an AVL tree from the sequence 70, 60, 80, 50, 65, and 68 while maintaining the balance factor property. The core objective is to determine the number of leaf nodes in the final balanced tree structure.

Chapters

  1. 0:00 – 1:50 00:00-01:50

    The instructor addresses the question 'Create an AVL tree with 70, 60, 80, 50, 65 and 68 how many leaves are there in the resultant tree?' displayed on screen. The process involves inserting nodes sequentially, crossing out numbers as they are added to the structure. Key visible events include drawing a partial tree with 70 as root, 60 and 80 as children, and further insertion of 50 under 60. The instructor performs necessary rotations (indicated by 'L' and 'R') to maintain AVL balance. Three hand-drawn tree diagrams illustrate the construction stages, culminating in a final structure where the instructor counts and marks option (b) 3 as the correct answer for the number of leaf nodes.

The video provides a focused walkthrough of AVL tree balancing mechanics using a concrete numerical example. The teaching flow moves from problem identification to step-by-step insertion, highlighting the necessity of rotations when balance factors are violated. The final conclusion relies on correctly identifying leaf nodes in the resulting balanced binary search tree, reinforcing that insertion order and balancing operations directly impact the final topology.

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