Type 4 Important Practice Questions
Duration: 14 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- English Comprehension: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Reading Comprehension, Vocabulary, Idioms and Phrases, Narrative Sequencing, Critical Reasoning
- Reasoning and Aptitude: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Logical Sequence Of Words, Seating Arrangements, Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Data Sufficiency, Selection Decision Table (Decision Making), Calendar, Clock, Cubes & Dices, Data Arrangement, Venn Diagram, Analytical Reasoning (Counting Figures Reasoning), Number System, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Speed Time and Distance, Mensuration and Geometry, Arithmetic, Mixture and Alligation, Age Problems, Data Interpretation, Alphabet and Word Tests, Numerical Reasoning, Number System, Averages, Mixtures and Alligation, Percentages, Series Completion, Analogy and Classification, Patterns in Two-Dimensional Figures, Coding and Decoding, Mathematical Operations, Direction Sense, Logical Deduction and Induction, Simplification and Approximation, Assembling and Grouping of Shapes, Transformation of Shapes, Three-Dimensional Patterns and Visualization, Cubes and Dice, Algebra, Traverse Surveying, Clocks and Calendars, Order, Ranking and Sequence, Constraint Puzzles, Syllogisms and Venn Diagrams, Ratio and Proportion, Mensuration, Permutations and Combinations, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Sequences and Series, Powers, Surds and Logarithms, Subject-Verb Agreement, Sentence Completion, Geometry, Probability, Trigonometry, Measurement and Quantity Take-Off, Statistics, Data Sufficiency, Blood Relations, Speed, Time and Distance, Time and Work, Data Interpretation, Sequence and Series (Series), Algebra, Permutation and Combination, Combinatorics
- General Awareness: Physics, Chemistry, Biology, Geography, History, Polity, Indian Economy
- Computer Fundamentals: Basics of COA, Number System, Number Representation, Semiconductor Memories and Programmable Logic, Timing, Hazards and Testing, Processor Organization and Instructions, Number Systems and Codes, Combinational Logic Design, Combinational Logic Circuits, Number Systems and Codes
- Operating System: Introduction to OS, Unix OS, Linux OS
- C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
- OOPS with C++ & Java: OOPS with C++, Java
- Database Management System: Basics of DBMS, SQL
- MS Office: MS Office Applications
- Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video is a comprehensive lecture on solving coding-decoding problems, a common topic in competitive exams. The instructor, Yash Jain, systematically explains various types of coding-decoding puzzles. The video begins with a demonstration of a substitution cipher using the ROT13 algorithm, where letters are shifted by 13 positions in the alphabet, illustrated with the example 'HOLA' becoming 'UBYN'. It then transitions to a series of multiple-choice questions. The first question involves a code language where 'mok dan sil' means 'nice big house', 'fit kon dan' means 'house is good', and 'warm tir fit' means 'cost is high', asking for the word for 'good'. The instructor analyzes the common words to deduce that 'kon' is the code for 'good'. The second question uses the phrases 'nitco sco tingo' for 'softer than flower', 'tingo rho mst' for 'sweet flower fragrance', and 'mst sco tmp' for 'sweet than smile', to determine the code for 'fragrance', concluding it is 'tingo'. The third question presents 'Tom Kun Sud' for 'Dogs are barking', 'Kun Jo Mop' for 'Dogs and Horses', and 'Mut Tom Ko' for 'Donkeys are mad', to find the code for 'barking', which is 'Sud'. The final question is a data sufficiency problem asking what 'orange' represents, providing three statements: 'rim pa xab' means 'orange and apple', 'na pie tac' means 'I dislike sweet', and 'na tsi pa' means 'orange is sweet'. The instructor explains that statements 1 and 3 are sufficient to determine that 'pa' represents 'orange'. The video concludes with a 'Thanks for Watching' screen.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a slide titled 'CODING DECODING' that presents a problem: 'MONKEY KMLICW then ORANGE ?'. It shows the word 'MONKEY' being converted to 'KMLICW' by subtracting 2 from each letter's position in the alphabet (e.g., M=13, 13-2=11=K). The slide then applies the same logic to 'ORANGE', showing that each letter should be decreased by 2 to get the code. The instructor, Yash Jain, is visible in a small window in the bottom right corner. The slide also features a paper airplane graphic and a blue background with a red speech bubble containing the title.
2:00 – 5:00 02:00-05:00
This segment introduces the concept of a 'ROT13' cipher. A diagram shows the alphabet split into two rows, with arrows indicating that each letter is shifted by 13 positions. For example, 'A' maps to 'N', 'B' to 'O', and so on. The instructor demonstrates this with the word 'HOLA', which becomes 'UBYN' after applying the ROT13 shift. The slide includes the text 'YASH JAIN SIR' and 'KNOWLEDGE GATE EDUCATOR' at the bottom. The instructor is seen in a small window, explaining the concept.
5:00 – 10:00 05:00-10:00
The video presents a series of multiple-choice questions. The first question asks for the code for 'good' given that 'mok dan sil' means 'nice big house', 'fit kon dan' means 'house is good', and 'warm tir fit' means 'cost is high'. The instructor analyzes the common words: 'dan' appears in both 'nice big house' and 'house is good', so 'dan' must mean 'house'. 'fit' appears in 'house is good' and 'cost is high', so 'fit' must mean 'is'. Therefore, 'kon' is the only word left for 'good'. The second question asks for the code for 'fragrance' given 'nitco sco tingo' for 'softer than flower', 'tingo rho mst' for 'sweet flower fragrance', and 'mst sco tmp' for 'sweet than smile'. The instructor identifies 'tingo' as the common word in 'softer than flower' and 'sweet flower fragrance', so 'tingo' must mean 'flower'. 'mst' is common in 'sweet flower fragrance' and 'sweet than smile', so 'mst' means 'sweet'. Therefore, 'rho' is the only word left for 'fragrance'.
10:00 – 14:21 10:00-14:21
The third question asks for the code for 'barking' given 'Tom Kun Sud' for 'Dogs are barking', 'Kun Jo Mop' for 'Dogs and Horses', and 'Mut Tom Ko' for 'Donkeys are mad'. The instructor identifies 'Tom' as common in 'Dogs are barking' and 'Donkeys are mad', so 'Tom' means 'are'. 'Kun' is common in 'Dogs are barking' and 'Dogs and Horses', so 'Kun' means 'Dogs'. Therefore, 'Sud' is the only word left for 'barking'. The final question is a data sufficiency problem: 'What does 'orange' represent in a coded language?' with three statements. Statement 1: 'rim pa xab' means 'orange and apple'. Statement 2: 'na pie tac' means 'I dislike sweet'. Statement 3: 'na tsi pa' means 'orange is sweet'. The instructor explains that statement 1 gives 'orange and apple', and statement 3 gives 'orange is sweet'. The word 'pa' is common in both, so 'pa' must mean 'orange'. Therefore, statements 1 and 3 are sufficient. The video ends with a 'Thanks for Watching' screen.
The video provides a structured and methodical approach to solving coding-decoding problems. It begins with a fundamental concept, the ROT13 cipher, to establish the basic idea of substitution. It then progresses to more complex, real-world style problems that require logical deduction. The core method demonstrated is identifying common words or phrases across different coded sentences to isolate the meaning of individual code words. This is applied to three distinct types of problems: finding a single word's code, finding a word's code from a set of phrases, and a data sufficiency question. The instructor consistently uses a step-by-step analysis, breaking down each problem to its core components, which is a valuable technique for students preparing for competitive exams.

