Stack Practice Questions

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
  5. Art of Teaching: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Classroom Management & Communication, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement, Professional Development & Ethics, Policies, Acts & Contemporary Issues, Curriculum & School Environment, Guidance, Counselling & Mental Health, Inclusive Education & Special Needs, Micro-Teaching & Teaching Skills, Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: 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
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: 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
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture focuses on the implementation of a stack data structure using a linked list. The instructor presents a multiple-choice question asking to identify the correct statement regarding push and pop operations. He begins by defining the fundamental property of a stack: Last In First Out (LIFO). He illustrates this concept by drawing a vertical stack diagram and listing elements 10, 20, 30, and 40. He then transitions to explaining how this structure translates to a linked list, emphasizing that for efficient O(1) operations, both insertion (push) and deletion (pop) must occur at the same end of the list. He demonstrates the process of inserting nodes at the head of the linked list, showing how the head pointer updates with each new element. Finally, he analyzes the given options, explaining why inserting at one end and removing from the other describes a Queue (FIFO) rather than a Stack, leading to the conclusion that "None of the above" is the correct answer.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the question about linked list stack implementation. He writes "LIFO" and "FIFO" on the board to distinguish between stack and queue properties. He draws a stack diagram and writes the numbers 10, 20, 30, 40 to represent elements. He starts drawing a linked list node structure, showing a data field and a next pointer. He explains the concept of inserting a node at the beginning of the list, drawing a node with data '10' and a pointer. He then shows how a new node '20' is inserted before '10', becoming the new head. This visual demonstration sets the stage for analyzing the time complexity of operations. He emphasizes that the head pointer changes with every insertion, ensuring the most recent element is always accessible.

  2. 2:00 – 4:30 02:00-04:30

    The instructor continues the linked list demonstration by adding nodes '30' and '40' to the head of the list. He writes "Push & Pop O(1)" to indicate the efficiency of operations at the head. He then evaluates Option (A), which suggests inserting at the beginning and removing from the end. He crosses this out, explaining that removing from the end is O(n) and violates the LIFO principle if the last inserted element is at the head. He evaluates Option (B), which suggests inserting at the end and removing from the beginning. He also crosses this out, noting that this describes a Queue (FIFO) behavior. He concludes that for a stack, push and pop must happen at the same end. He marks Option (D) "None of the above" as the correct answer, reinforcing that the options provided describe queue operations, not stack operations. He explicitly writes "Head -> 40 -> 30 -> 20 -> 10" to show the final state of the linked list after all insertions.

The lecture effectively bridges the gap between abstract data structure concepts and their concrete implementation. By visually constructing the linked list step-by-step, the instructor clarifies why specific operation sequences define a stack versus a queue. The key takeaway is that a stack requires push and pop operations to occur at the same end of the linked list to maintain the LIFO property and achieve O(1) time complexity. This distinction is crucial for understanding data structure selection in algorithm design.

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