Practice Question-2

Duration: 2 min

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Inside: a video lesson and guided study material.

Module outline

  1. Communication Round: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Direct and Indirect Speech, Active Passive Voice (Voice), Verbal Analogy (Word Based Analogy), Articles, Preposition, Conjunction, Sentence Construction, English Writing Ability, Communication Assessment
  2. Quantitative Aptitude: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Speed Time and Distance, Percentage, Average, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Age Problems, Pipe and Cistern, Probability, Profit and Loss, Simple Interest and Compound Interest, Algebra
  3. Analytical and Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Logical Sequence Of Words, Puzzle Solving (Puzzles), Syllogisms, Seating Arrangements, Calendar, Clock, Blood Relations, Cubes & Dices, Venn Diagram, Analytical Reasoning (Counting Figures Reasoning)
  4. Cognizant Gaming Aptitude: Gamified / Game Based Aptitude
  5. Java (Cluster 1): Java
  6. ANSI SQL MySQL (Cluster 1,2,3): SQL
  7. HTML, CSS, JavaScript (Cluster 1,3): HTML, CSS, JavaScript
  8. Python (Cluster 2): Python for Placements by Yash Sir
  9. Cloud Fundamentals (Cluster 2): Emerging Tech Trends
  10. C# (Cluster 3): C#
  11. OOPs: Object Oriented Programming (OOPS)
  12. Technical Assessment (Coding): Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Pseudo Codes
  13. Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. DBMS: 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
  15. Operating Systems: 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
  16. 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, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment addresses a GATE 2004 problem requiring the construction of a Max Heap by sequentially inserting elements. The core task involves processing the sequence 32, 15, 20, 30, 12, 25, and 16 to determine the correct final tree structure among four provided options. The instructor demonstrates the step-by-step insertion process, emphasizing the Max Heap property where parent nodes must be greater than their children. Visual evidence shows tree diagrams labeled (a), (b), (c), and (d) representing potential outcomes. The solution involves inserting elements one by one, performing necessary swaps to maintain the heap property, and finally identifying option (a) as the correct structure where 32 is the root.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video introduces a GATE 2004 problem asking to construct a Max Heap from the sequence 32, 15, 20, 30, 12, 25, 16. On-screen text displays the question and four tree options labeled (a) through (d). The instructor begins explaining the sequential insertion method, starting with 32 as the root. Visual cues show the initial tree structure growing as elements like 15 and 20 are added. The instructor demonstrates how inserting 30 triggers a swap to satisfy the Max Heap property, ensuring parent nodes remain larger than children. This section establishes the problem context and begins the step-by-step construction process.

  2. 2:00 – 2:16 02:00-02:16

    In the final segment, the instructor completes the heap construction and identifies the correct answer. The screen shows the four options (a), (b), (c), and (d) alongside the instructor's selection of option (a). Evidence indicates that inserting all elements results in a specific tree where 32 is the root, followed by children 30 and 25. The instructor marks option (a) as the correct solution, confirming that sequential insertion yields this particular structure. The video concludes with the final answer displayed against the backdrop of the original question text.

The lecture focuses on the algorithmic construction of a Max Heap using sequential insertion. Key concepts include the heap property, where every parent node must be greater than its children, and the process of bubbling up elements to maintain this order. The problem requires applying these rules to a specific sequence: 32, 15, 20, 30, 12, 25, 16. The visual progression shows the tree evolving from a single root node to a complete structure, with swaps occurring when new elements violate the heap property. The final result confirms that option (a) correctly represents the Max Heap formed by this specific insertion order. This example illustrates how data structure properties dictate tree topology during dynamic operations.

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