Practice Questions

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Aptitude: Ratio and Proportion (Ratios), Data Interpretation, Mixture and Alligation, Permutation and Combination, Number System, Sequence and Series (Series), Speed Time and Distance, Speed Mathematics and Basic Mathematics, Algebra, Percentage, Profit and Loss, Simple Interest and Compound Interest, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Partnership
  2. Reasoning Ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Seating Arrangements, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Syllogisms, Blood Relations, Puzzle Solving (Puzzles), Inequality, Machine Input-Output
  3. English Language: Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, 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), Sentence Construction, Pronoun, Preposition, Conjunction, Adverb, Verb, Modals, Articles, Determiner, Interjection
  4. General Awareness: Evolution of Indian Banking (Banking & Financial Awareness), GK- Current Affairs, Static General Knowledge, Indian Economy
  5. C Concepts + MCQs (IT Specialist): C Programming by Yash Sir, C Language Core
  6. Java (IT Specialist): Java
  7. Python (IT Specialist): Python for Placements by Yash Sir, Python Basics
  8. OOPs (IT Specialist): Object Oriented Programming (OOPS)
  9. DBMS (IT Specialist): 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
  10. SQL (IT Specialist): SQL
  11. Software Engineering (IT Specialist): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  12. Data Structure (IT Specialist): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  13. Operating System (IT Specialist): 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
  14. Compiler Design (IT Specialist): 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
  15. Computer Architecture (IT Specialist): Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Multiprocessors, Programming the Basic Computer
  16. Data Communication & Networking (IT Specialist): 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
  17. Descriptive Test (Main Exam): English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video lecture focuses on Context-Free Grammars (CFG), specifically analyzing ambiguity and derivation trees. The instructor begins by examining a palindrome-generating grammar defined by the rules S -> aSa / bSb / ∈. He constructs a detailed derivation tree to demonstrate how the string 'aabba' is formed using these rules. He then contrasts this with a different grammar, S -> aSb / bSa / ∈, which generates strings with equal numbers of 'a's and 'b's. By deriving the same string 'aabba' with this new grammar, he illustrates that different grammars can produce the same string but with distinct derivation structures. Finally, the lecture introduces more complex grammars involving non-terminals A and B, such as S -> aAB and A -> A(A) / a, to discuss further structural properties and potential ambiguities in grammar design.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the grammar rule S -> aSa / bSb / ∈ on the screen. He proceeds to draw a derivation tree in red ink. The root node S branches into a, S, and a. The middle S branches into a, S, and a. The next S branches into b, S, and b. The final S branches into epsilon (∈). The resulting string is aabba. He underlines the specific productions in the grammar rule that correspond to each step of the tree construction, emphasizing the recursive nature of the palindrome generation.

  2. 2:00 – 4:14 02:00-04:14

    The on-screen text changes to a new grammar: S -> aSb / bSa / ∈. The instructor draws a new derivation tree for the string aabba using these rules. The tree structure differs from the previous one, showing S branching to a, S, b, then S to a, S, b, then S to b, S, a, and finally S to ∈. He then introduces a third grammar: S -> aAB, A -> aA / BaA / a, B -> Aa / b. He circles the 'Aa' production in the B rule and writes 'AaaA' below it to illustrate a derivation path. He concludes by showing the rule A -> A(A) / a and drawing its corresponding tree structure.

The lecture systematically builds understanding of CFGs by comparing different grammars. It starts with a simple palindrome grammar, moves to a grammar for equal numbers of symbols, and finally touches on more complex recursive structures. The key takeaway is the relationship between grammar rules, derivation trees, and the strings they generate, highlighting how different rules can lead to the same string through different structural paths.

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