Practice Questions Language

Duration: 4 min

This video lesson is available to enrolled students.

Return to /learn/IBPS-SO-IT-PRELIMS/theory-of-computation/deterministic-fa-dfa/dfa-construction-design/asset-practice-questions-language after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. English Language: Vocabulary, Noun, Adjectives, Tenses, Pronoun, Adverb, Preposition, Conjunction, Active Passive Voice (Voice), Articles, Direct and Indirect Speech, Sentence Correction (Error Correction), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Sentence Completion (Fill in the blanks), Cloze Test (Cloze Passage)
  3. Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Puzzle Solving (Puzzles), Seating Arrangements, Blood Relations, Syllogisms, Inequality, Directions (Direction Test), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Clock, Calendar, Analytical Reasoning (Counting Figures Reasoning), Selection Decision Table (Decision Making), Cubes & Dices, Machine Input-Output
  4. Quantitative Aptitude: Ratio and Proportion (Ratios), Data Interpretation, Mixture and Alligation, Permutation and Combination, Number System, Sequence and Series (Series), Speed Time and Distance, Algebra, Speed Mathematics and Basic Mathematics, Percentage, Average, Time and Work, Simple Interest and Compound Interest, Profit and Loss, Age Problems, Partnership, Mensuration and Geometry, Probability, IBPS Specific Videos
  5. Data Structures - Professional Knowledge: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms- Professional Knowledge: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  7. Python- Professional Knowledge: Python for Placements by Yash Sir, Python Basics
  8. Operating System- Professional Knowledge: Introduction to OS, Process Management, CPU Scheduling, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management
  9. DBMS + SQL- Professional Knowledge: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), File Organization & Indexing, SQL, Transaction Management, Concurrency Control
  10. Computer Networks- Professional Knowledge: Introduction to CN, Data Communication, Net Layer: IP Addressing, Net Layer: IPv4 & Proto, Application Layer, Hardware basics, Network Security
  11. Software Engineering- Professional Knowledge: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  12. Computer Organization & Microprocessor- Professional Knowledge: Basics of COA, Cache Memory Organization, Programming the Basic Computer
  13. Digital Logic Design- Professional Knowledge: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  14. Theory of Computation- Professional Knowledge: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Regular Language Properties, Pushdown Automata & CFG, Turing Machines
  15. Compiler Design- Professional Knowledge: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Intermediate Code Gen, Code Optimization
  16. Programming Languages- Professional Knowledge: C Programming by Yash Sir, Object Oriented Programming (OOPS), Programming in C++, Java, C Language Core
  17. Emerging Tech- Professional Knowledge: Emerging Tech Trends
  18. Artificial Intelligence: Artificial Intelligence
  19. Unit Test - Professional Knowledge:
  20. Full Length Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture focuses on the analysis of Deterministic Finite Automata (DFA). The instructor begins by examining a specific DFA diagram to determine the language L(M) it accepts. He systematically traces paths and tests strings against the options provided. Later, the lecture transitions to a new problem involving a different DFA structure, where the instructor solves three multiple-choice questions related to defining final states for specific language conditions, such as strings starting and ending with the same symbol.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor analyzes a DFA with states $S_c$ (start), $S_1, S_2, S_6, S_7$. $S_6$ and $S_7$ are final states. He traces the path $S_c \xrightarrow{a} S_1 \xrightarrow{a} S_6$ to show 'aa' is accepted. He notes that once in $S_6$, any input ($a, b$) loops back, meaning 'aa' followed by anything is accepted. Similarly, $S_c \xrightarrow{b} S_2 \xrightarrow{b} S_7$ accepts 'bb' followed by anything. He tests option (a) 'words starting with aa or bb' by checking 'baa', which is accepted but doesn't start with 'aa' or 'bb', ruling it out. He tests 'abba', which is accepted, confirming it contains 'bb'. He concludes the correct answer is (c) 'words containing aa or bb as a sub word'.

  2. 2:00 – 4:06 02:00-04:06

    The slide presents a new DFA with states Start, $q_0, q_1, q_2, q_3$. Question 1 asks for final states to accept strings starting with 'a' and ending with 'b'. The instructor circles option (b) $q_1$. Question 2 asks which strings are accepted if $q_0$ and $q_1$ are final states. The strings are 1. ababab, 2. Babaaa, 3. aaaba. The instructor marks option (c) 1, 3. Question 3 asks for the set of accepting states for strings with the same starting and ending symbols. The options are a) $\{q_0\}$, b) $\{q_0, q_3\}$, c) $\{q_3\}$, d) $\{q_3, q_1\}$. The instructor circles option (b) $\{q_0, q_3\}$.

The lecture progresses from analyzing an existing DFA to identifying its language, to designing/analyzing DFAs for specific constraints. The first part establishes the concept of sub-words in regular languages. The second part applies DFA transition logic to define acceptance criteria based on string properties (start/end symbols). The instructor uses visual tracing and option elimination to guide the student through the problems.

Loading lesson…