Practice Questions
Duration: 3 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
- Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
- Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
- Programming Fundamentals (Technical): C Fundamentals
- Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
- OOPs (Technical): Object Oriented Programming (OOPS)
- DBMS (Technical): 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
- SQL (Technical): SQL
- Operating Systems (Technical): 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
- Computer Networks (Technical): 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, Cloud Computing and IoT, Cyber and Info Security
- Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
- Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
- Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
- Writing Assessment: English Writing Ability
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
The lecture focuses on determining the equivalence of two sets of functional dependencies, F and G, for a relation schema R(VWXYZ). The instructor systematically computes attribute closures to verify if one set implies the other. He begins by analyzing set F, calculating closures for V, VW, and Y. He then transitions to set G, performing similar closure calculations. By demonstrating that every dependency in F is implied by G and vice versa, he establishes that the two sets are equivalent, denoted as F = G. This process is a standard method for checking if two sets of functional dependencies cover each other.
Chapters
0:00 – 2:00 00:00-02:00
The instructor introduces the problem with relation R(VWXYZ) and two dependency sets F and G. He starts calculating closures for set F, writing (V)+ = VWX, (VW)+ = VWX, and (Y)+ = YVZWX on the board. He then checks if F is covered by G (F <= G) by verifying if the closures under G satisfy F's dependencies. He calculates (V)+ under G as VWX and (Y)+ under G as YVXZ. He marks checkmarks next to the dependencies in both columns to track progress. Finally, he writes G <= F, indicating he is checking the reverse implication. He explicitly writes (V)+ = VWX under G and (Y)+ = YVXZ under G.
2:00 – 2:37 02:00-02:37
The instructor finalizes the equivalence check. He writes "F = G" on the right side of the board, confirming that the two sets of functional dependencies are equivalent. He explains that since F is covered by G and G is covered by F, the sets are logically equivalent. The video concludes with the instructor summarizing the result, reinforcing the concept that equivalence is established through mutual coverage of dependencies. The text "Knowledge Gate Educator Sanchit Jain Sir" is visible at the bottom. He emphasizes that F <= G and G <= F implies F = G.
The lesson demonstrates a rigorous method for verifying functional dependency equivalence. By computing attribute closures for both sets, the instructor proves that F and G generate the same closure for all attributes. This confirms that the two sets are equivalent, meaning they impose the same constraints on the relation. The step-by-step verification of F <= G and G <= F is crucial for normalization tasks where simplifying dependency sets is required. The visual checkmarks help track which dependencies have been validated.

