DBMS PRACTICE QUESTIONS

Duration: 5 min

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Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Aptitude: Number System, Divisibility Rules, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Mixture and Alligation, Partnership, Age Problems, Time and Work, Pipe and Cistern, Speed Time and Distance, Algebra, Arithmetic, Data Interpretation, Sequence and Series (Series), Logarithm, Powers and Exponents (Surds and Indices), Permutation and Combination, Probability, Speed Mathematics and Basic Mathematics, Trigonometry
  2. Logical Reasoning: Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Syllogisms, Inequality, Data Sufficiency, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Venn Diagram, Logical Sequence Of Words, Calendar, Clock, Cubes & Dices, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Noun, Pronoun, Adjectives, Verb, Adverb, Tenses, Subject Verb Agreement (Verb Noun Agreement), Articles, Preposition, Conjunction, Modals, Determiner, Vocabulary, 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), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  4. Data Structures (Domain Test): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  5. Algorithms (Domain Test): Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms
  6. OOPs (Domain Test): Object Oriented Programming (OOPS)
  7. DBMS (Domain Test): 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
  8. SQL (Domain Test): SQL
  9. Operating Systems (Domain Test): 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
  10. Computer Networks (Domain Test): 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
  11. Coding: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  12. Written English Test: English Writing Ability
  13. Psychometric Test: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is an educational lecture on database theory, specifically focusing on the process of finding candidate keys for a relational schema. The problem presented is R(WXYZ) with a set of functional dependencies: X -> W, WZ -> XY, and Y -> WXZ. The instructor systematically applies the attribute closure method to determine which attribute sets can function as candidate keys. He begins by testing individual attributes and small combinations, calculating their closures to see if they encompass all attributes in the relation. The lecture progresses from identifying obvious keys to using heuristics for finding multiple candidate keys, culminating in a final list of keys.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor starts by writing the problem statement "Q. R(WXYZ) Find candidate key" and listing the functional dependencies: X -> W, WZ -> XY, and Y -> WXZ. He begins the analysis by calculating the closure of X, denoted as X+, which he writes as {X, W}. He notes that this is not a superkey because it lacks Y and Z. Next, he calculates the closure of the combination WZ, writing (WZ)+ = {W, X, Z, Y}. He identifies this as a Super Key (SK) and a Candidate Key (CK). He then checks the subsets W and Z, writing W+ = {W} and Z+ = {Z}, marking them as not keys. Finally, he calculates the closure of Y, writing Y+ = {Y, W, X, Z}, identifying Y as a Candidate Key. He summarizes the candidate keys found so far as {Y, WZ}.

  2. 2:00 – 4:30 02:00-04:30

    The instructor moves on to discuss finding multiple candidate keys. He writes a rule on the board: "To find multiple CKs: X -> PA then X must be apart of any CK". He identifies the Prime Attributes (PA) as {W, Y, Z}. He then explores the combination XZ. He reasons that since X -> W, the set XZ can derive WZ. Since WZ -> XY, XZ can derive all attributes. He writes "CK {Y, WZ, XZ}" on the board. He also writes "X -> Y" and crosses out "X -> W", possibly correcting a dependency or exploring a relationship, but the final boxed answer clearly lists Y, WZ, and XZ as the candidate keys. He boxes the final answer "CK {Y, WZ, XZ}" to conclude the problem.

The lecture provides a clear, step-by-step demonstration of finding candidate keys using attribute closure. It covers the initial identification of keys through direct calculation and then introduces a heuristic method to find additional keys involving prime attributes. The instructor uses board writing to visually track the closure calculations and the final set of candidate keys, ensuring students can follow the logical progression from functional dependencies to the final solution.

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