Practice Questions

Duration: 2 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 segment focuses on formal language theory, specifically the computation of First and Follow sets for context-free grammars. The instructor presents two separate problems to illustrate the methodology. The first problem involves a grammar generating binary strings, while the second deals with an arithmetic expression grammar. Throughout the session, the instructor writes the production rules and the resulting sets in red ink, providing a clear visual guide for students learning compiler design concepts. The lecture emphasizes the systematic approach required to handle epsilon productions and multiple alternatives in grammar rules. The instructor's methodical derivation helps students understand how to trace symbols through production rules to find the initial terminals.

Chapters

  1. 0:00 – 1:53 00:00-01:53

    The session opens with the grammar S -> 0S' / 1S' and S' -> 0S1S' / epsilon displayed in orange text. The instructor identifies the terminals 0 and 1 to determine First(S) = {0, 1}. He then analyzes S', noting it can produce 0 or epsilon, leading to First(S') = {0, epsilon}. The video then shifts to a new grammar: R -> (R)R' / aR' / bR' and R' -> +RR' / RR' / *R' / epsilon. He calculates First(R) by looking at the start symbols of the right-hand sides, resulting in {(, a, b}. For First(R'), he considers the terminals +, *, and epsilon, as well as the fact that R' can derive R which starts with (, a, or b, resulting in First(R') = {+, *, epsilon, (, a, b}. The instructor writes these sets in red ink next to the black text labels First(R) and First(R'). The visual layout clearly separates the grammar rules from the calculated sets, aiding student comprehension. The instructor's gestures and focus on specific parts of the equations guide the viewer through the logical steps.

The lecture effectively bridges theoretical definitions with practical calculation. By moving from a simple binary grammar to a more complex arithmetic one, the instructor reinforces the rules for handling epsilon and recursive productions. The step-by-step derivation of First sets serves as a crucial precursor to building predictive parsing tables, a key topic in compiler construction courses. The visual progression from problem statement to solution highlights the logical flow of parsing theory. Understanding these sets is fundamental for constructing LL(1) parsers, which are essential for modern compiler front-ends. The clear distinction between terminals and non-terminals in the examples aids in grasping the core concepts of formal grammars.

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