Practice Question

Duration: 7 min

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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 focuses on solving a practice problem regarding the memory location calculation of two-dimensional array elements. The instructor presents an array VAL with dimensions ranging from 1 to 15 for rows and 1 to 10 for columns. Each element occupies 4 bytes of storage, with a base address of 1500. The core task is to determine the memory location of the specific element VAL[12][9] using two distinct storage methods: Row Major Order (RMO) and Column Major Order (CMO). The session begins by defining the problem parameters, including lower bounds L1 and L2, which are both 1 in this context. The instructor systematically derives the general formula for Row Major Order, Loc(A[i][j]) = BA + W[(i - L1) * #cols + (j - L2)], and applies it to the specific indices. Subsequently, the video transitions to Column Major Order, utilizing a similar but structurally different formula that prioritizes column indices over row indices in the offset calculation. The final output provides precise memory addresses for both storage schemes, demonstrating the arithmetic progression required to solve such data structure problems.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with the instructor displaying a practice question on screen regarding an array VAL[1...15][1...10] stored in memory. The problem statement specifies that each element requires 4 bytes of storage and the base address is 1500. The instructor identifies the task as finding the location of VAL[12][9] using both Row Major Order (RMO) and Column Major Order. Visible text on screen includes the array dimensions, base address value, and element size. The instructor begins writing 'Row wise (RMA)' on the board to initiate the solution process for the first storage method. The setup phase involves identifying the lower bounds L1 and L2 as 1, and calculating the total number of columns as U2 - L2 + 1 = 10. The instructor writes the general formula for Row Major Order: Loc(A[i][j]) = BA + W [(i - L1) x #cols + j - L2]. This section establishes the foundational parameters required for subsequent calculations.

  2. 2:00 – 5:00 02:00-05:00

    The instructor proceeds to solve the Row Major Order (RMO) calculation step-by-step. The screen shows the substitution of specific values into the previously written formula: Loc(A[i][j]) = BA + w[(i-L1)*#cols + (j-L2)]. The target indices are identified as i=12 and j=9. The calculation begins with the substitution: 1500 + 4[(12-1)*10 + (9-1)]. The instructor simplifies the terms inside the brackets, calculating 12 minus 1 to get 11, and 9 minus 1 to get 8. The intermediate step shows the multiplication of 11 by the number of columns (10), resulting in 110, which is then added to 8. The expression becomes 1500 + 4[11*10 + 8], which simplifies to 1500 + 4[118]. The final arithmetic yields 1500 + 472, resulting in a memory address of 1972. The instructor writes the final result clearly on the screen, confirming the location of VAL[12][9] under row-wise storage.

  3. 5:00 – 7:13 05:00-07:13

    The video transitions to the second part of the problem, calculating the memory location using Column Major Order (CMO). The instructor writes the specific formula for column-wise storage: Loc(A[i][j]) = BA + W[(i-Lr) * #rows + (j-Lc)]. The visible text indicates the base address remains 1500 and element size W is 4. The instructor substitutes the indices i=12 and j=9 into this new formula, along with the number of rows (15) instead of columns. The calculation proceeds as 1500 + 4[(9-1) * 15 + (12-1)]. The instructor simplifies the bracketed terms, calculating 9 minus 1 to get 8, and multiplying by 15 rows to obtain 120. The row index offset is calculated as 12 minus 1, which equals 11. Adding these gives 120 + 11 = 131. The final step multiplies 4 by 131 to get 524, which is added to the base address. The screen displays the final result as 1500 + 4 * 131 = 2024, completing the solution for column-wise storage.

The lecture segment effectively demonstrates the application of memory addressing formulas for two-dimensional arrays. The key distinction lies in how the offset is calculated: Row Major Order multiplies the row index difference by the number of columns, while Column Major Order multiplies the column index difference by the number of rows. The problem uses 1-based indexing, requiring the subtraction of lower bounds (L1=1, L2=1) from the target indices before calculation. The arithmetic progression is clearly shown, moving from general formulas to specific substitutions and finally to numerical results. The final addresses differ significantly (1972 vs 2024), highlighting the impact of storage order on memory layout. The instructor's methodical approach ensures clarity in deriving both results from the same initial problem statement.

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