Need help ! I have attached the problem! I am taking database management course. Emp_IDE101CountryDepartment Dept_Type Dept_NoJapanMarketingM_internal M_0%E102IndiaHRH_internal H_02E103CanadaFinanceF_internal F_03E104JapanSalesS_external S_04If {Emp_ID, Department} is the candidate Key, and the functional dependency that exist in this relationare:Emp_ID-> CountryDepartment->Dept_TypeDepartment->Dept_NoEmp_ID -> DeparmentIs this relation in BCNF?

Here's a Python code snippet that demonstrates how to check if a given relation is in BCNF:```python…

Answered: Emp_ID E101 Country Department…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Let R(A, B, C) be arelational schema with the following functional dependencies :{A— >B,B—>C,C— >A}The decomposition of Rinto (A, B), (B, C).A. Gives a lossless join, and is dependency preservingB. Gives a lossless join, but is not dependency preservingC. Does not give a lossless join, but is dependency preservingD. Does not give a lossless join and is not dependency preserving
1. Consider the following relations:Student (snum: integer, sname: string, major: string, level: string, age: integer)Class (name: string, meets at: string, room: string, fid: integer)Enrolled (snum: integer, cname: string)Faculty (fid: integer, fname: string, deptid: integer)The meaning of these relations is straightforward; for example, Enrolled has onerecord per student-class pair such that the student is enrolled in the class. Level is atwo character code with 4 different values (example: Junior: A Level etc)Write the following queries in SQL. No duplicates should be printed in any of theanswers.i. Find the names of all Juniors (level = A Level) who are enrolled in a classtaught by Prof. Kwizeraii. ii. Find the names of all classes that either meet in room R128 or have five ormore Students enrolled.iii. Find the names of all students who are enrolled in two classes that meet atthe same time.
Consider the relation r(A,B ) with the following instance of r. Which of the functional dependencies do NOThold on this instance?(a) C → A(b) B → A(c) AB → C(d) A → C(e) B → C Instance of r is attached
Consider a relation named as BOOK that contains data about the books in a library. BOOK relation was initially created with the attributes BookID (an id that library assigns), ISBN, CopyNr (used to differentiate copies of the same book), Title, PublYear, Author, and AuthorBornYear. Primary key: BookID, CopyNr and Author Candidate key: ISBN, CopyNr and Author Below you see dependencies of attributes: Dependency 1 (D1): ISBN, Title, PublYear, AuthorBornYear were dependent on BookID, CopyNr and Author Dependency 2 (D2): Title and PublYear were dependent on BookID, CopyNr Dependency 3 (D3): AuthorBornYear was dependent on Author First determine which normal form (1NF, 2NF, 3NF or BCNF) the above relation is, and why. Then, if necessary, convert the above relation to the highest normal form (BCNF). Write any assumptions that you make.
Safe Datalog Rule: A Datalog rule is of the form:p :- q1, ..., qn. where n>0 and p is a positive atomic formula and q1, ..., and qn are positive or negative atomic formulas. A positive atomic formula is of the form:r(x1, ..., xm) and a negative atomic formulas of the form:not r(x1, ..., xm) where m>0 and r is a relation name and x1 , ..., xm are either numbers or variables. Relation names and variables are made up of alphabetic letters or digits and start with a lower-case alphabetic letter. Even though the variables are made up of lower and upper-case letters, these should be considered case-insensitive. For example, cno, CNO, cNO, etc all should be treated as the same variable. Some examples of Datalog rules are given below: ancestor(x1, y1) :- parent(x1, y1). teaches(tno,cno) :- faculty(tno), course(cno), assigned(tno,cno). p(x,y) :- q(2,x), r(u,45,z), s(a,b,22). p(x,y,z) :- q(x), not r(y,20), s(x,z). A Datalog rule is considered “Safe” if all variables that appear to the left…
Consider the following relations: Employee(E_id: integer, E_name: string, Age: integer, Salary: real) Works(E_id: integer, Dep_id: integer, Start_date: date) Department(Dep_id: integer, Dep_name: string, Budget: real, Manager_E_id: integer) What referential integrity constraints exist between these relations? What are the options for enforcing these constraints when a user attempts to delete a Dept tuple?
113. The template conclusion is a set of tuples that must be included in the relations in the template dependency called a. constraint generating templates b. tuple generating templates c. schema generating templates d. relation filtering template
Given a Customer entity class with a CustomerId property for its primary key, which of the following defines a foreign key property if it’s coded in another entity class named Invoice? 1. public int CustomerId { get; set; } 2. public int InvoiceId { get; set; } 3. public Invoice Invoice { get; set; } 4. public Customer Customer { get; set; }
A transitive dependency is equivalent to which of the following?A) A functional dependency between two or more key attributes.B) A functional dependency between two or more nonkey attributes.C) A relation that is in first normal form.D) A relation that is in second normal form.
Consider a relation named as BOOK that contains data about the books in a library. BOOK relation was initially created with the attributes BookID (an id that library assigns), ISBN, CopyNr (used to differentiate copies of the same book), Title, PublYear, Author, and AuthorBornYear. Primary key: BookID, CopyNr and Author Candidate key: ISBN, CopyNr and Author Below is three dependencies of attributes: Dependency 1 (D1): ISBN, Title, PublYear, AuthorBornYear were dependent on BookID, CopyNr and Author Dependency 2 (D2): Title and PublYear were dependent on BookID, CopyNr Dependency 3 (D3): AuthorBornYear was dependent on Author . First determine which normal form (1NF, 2NF, 3NF or BCNF) the above relation is, and why. Then, if necessary, convert the above relation to the highest normal form (BCNF). Write any assumptions that you make.
4NF is used to handle_______. Transitive dependency Candidate dependency Partial dependencies Multivalued dependency
Given the following relation R and its functional dependencies: R(workerNumber, repairNumber, workerName, machineNumber, spentTime, repairDate, machineName, workshopNumber, workshopName ) workerNumber à workerName repairNumber à repairDate, machineNumber machineNumber à machineName, workshopNumber workshopNumber à workshopName 1)Create a database whose tables are at least in 3NF, showing the dependency diagrams for each table

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