Practice Questions Functional Dependency

Duration: 2 min

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Module outline

  1. Communication Round: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), 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), Direct and Indirect Speech, Active Passive Voice (Voice), Verbal Analogy (Word Based Analogy), Articles, Preposition, Conjunction, Sentence Construction, English Writing Ability, Communication Assessment
  2. Quantitative Aptitude: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Speed Time and Distance, Percentage, Average, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Age Problems, Pipe and Cistern, Probability, Profit and Loss, Simple Interest and Compound Interest, Algebra
  3. Analytical and Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Logical Sequence Of Words, Puzzle Solving (Puzzles), Syllogisms, Seating Arrangements, Calendar, Clock, Blood Relations, Cubes & Dices, Venn Diagram, Analytical Reasoning (Counting Figures Reasoning)
  4. Cognizant Gaming Aptitude: Gamified / Game Based Aptitude
  5. Java (Cluster 1): Java
  6. ANSI SQL MySQL (Cluster 1,2,3): SQL
  7. HTML, CSS, JavaScript (Cluster 1,3): HTML, CSS, JavaScript
  8. Python (Cluster 2): Python for Placements by Yash Sir
  9. Cloud Fundamentals (Cluster 2): Emerging Tech Trends
  10. C# (Cluster 3): C#
  11. OOPs: Object Oriented Programming (OOPS)
  12. Technical Assessment (Coding): Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Pseudo Codes
  13. Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. DBMS: 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
  15. Operating Systems: 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
  16. Computer Networks: 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, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video teaches verifying functional dependencies using relation instances. The instructor works through three examples, guiding viewers to inspect tuples for validity. The first example uses attributes A, B, and C to test single-attribute dependencies. The second uses X, Y, and Z for composite and single dependencies. The final example asks students to identify the single invalid dependency among four choices for a table with five attributes, reinforcing the concept of uniqueness.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by displaying a relation instance with columns A, B, and C containing five tuples. He systematically evaluates a list of functional dependencies: A->B, B->C, B->A, C->B, C->A, and A->C. He places checkmarks and crosses next to each option to indicate validity. Subsequently, he transitions to a new problem involving a relation with columns X, Y, and Z. He analyzes dependencies including XZ->X, XY->Z, Z->Y, Y->Z, and XZ->Y. He marks XZ->X and XY->Z as valid, while crossing out Z->Y (where Z=3 maps to Y=4,5,6) and XZ->Y (where X=1, Z=3 maps to Y=4,5).

  2. 2:00 – 2:07 02:00-02:07

    The video concludes with a multiple-choice question asking to identify the dependency that does not hold good for a relation with columns A, B, C, D, and E. The options are A->BC, DE->C, C->DE, and BC->A. The instructor verifies the validity of the first, second, and fourth options, marking them with checks. He identifies C->DE as the invalid dependency because the value '3' in column C corresponds to different values in columns D and E (specifically D=4,6 and E=5,6), and marks it with an X.

The lecture effectively bridges theoretical concepts of functional dependencies with practical data inspection. By walking through concrete examples, the instructor demonstrates that a dependency X->Y holds only if every unique value of X is associated with exactly one value of Y across all tuples. The progression from simple single-attribute checks to identifying the specific invalid dependency in a complex table reinforces the logical rules of database normalization.

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