SlideShare a Scribd company logo
1 of 25
IT2301 Database Management Systems [email_address] PREPARING FOR THE BIT  Preparing for BIT 19/07/2001
IT2301 Model Question Paper
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],9) Which of the following list(s) is (are) in correct order of  evolution of database technologies ? 9) Which of the following  list(s) is (are)  in correct order of  evolution of database technologies ?
Evolution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(a) File-oriented, hierarchical, relational. (c) Hierarchical, network, relational. (e) ER modelling,  file-oriented , distributed systems. 1980s Distributed systems 1990s Object-oriented Object-relational Data warehousing
Evolution 1980s Distributed systems 1990s Object-oriented Object-relational Data warehousing (a), (c) (b) Relational, object-relational, data warehousing. (d) SQL,  relational , object-oriented.
10) Which of the following is (are) true for database management systems? (a) Provide protection for data against unexpected loss, damage or destruction. (b) Allow maintenance of high quality, consistent and up to date data. (c) Keep data and the programs that manipulate it together. (d) Prevent unauthorised access to data. (e) Do not allow same data element to appear in more than one place. 10) Which of the following  is (are) true  for  database management systems ?
Introduction to DBMS (c) Keep data and the programs that manipulate it together. Data Independence (a) Provide protection for data against unexpected loss, damage or destruction. Transaction Management (b) Allow maintenance of high quality, consistent and up to date data. Integrity
Introduction to DBMS (a), (b) (d) Prevent unauthorised access to data. Data Security (e) Do not allow same data element to appear in more than one place. Minimise Data Redundancy
11) Which of the following statement(s) is (are) components of DBMS? (a) Data dictionary/directory subsystem (b) Security and integrity subsystem. (c) Database administrator. (d) Users and programmers. (e) Hardware and data. 11) Which of the following  statement(s) is (are) components of DBMS ?
Introduction to DBMS (a) Data dictionary/directory subsystem (b) Security and integrity subsystem. (c) Database administrator. (d) Users and programmers. (e) Hardware and data. ,[object Object],[object Object]
12) Which of the following is (are) true for the 3 level architecture? (a) The physical schema should assist to locate the data stored on disk. (b) The logical view of the data provides the view of data for the user. (c) Data authorisation can be specified for the physical schema. (d) Program/data independence is eliminated due to this architecture. (e) New data can be derived with the help of sub-schemas. 12) Which of the following  is (are) true  for the  3 level architecture ?
3 level architecture (b) The  logical  view of the data provides the view of data for the user. (c) Data authorisation can be specified for the  physical  schema. (d) Program/data  independence  is eliminated due to this architecture. (e) New data can be derived with the help of sub-schemas. (a) The physical schema should assist to locate the data stored on disk.
13) Which of the following can be considered as a part of data dictionary? (a) Metadata (b) The complete set of data records. (c) Data flow diagram of the system (d) System catalog tables. (e) An Entity-Relationship diagram of the schema. 13) Which of the following can be considered as a  part of   data dictionary ?
Data Dictionary (b) The complete set of data records. (c) Data flow diagram of the system (d) System catalog tables. (e) An Entity-Relationship diagram of the schema. (a) Metadata
14) The term used to identify a row of a table in the relational data model is (a) Cardinality (b) Data (c) Data Set (d) Tuple (e) Record 14) The term  used to  identify a row of a table  in the  relational data model   is (d) Tuple
15) Select the correct statement(s) describing the keys used in a Relational Data Model. (a) A primary key is an attribute that uniquely identifies each row in a relation. (b) A composite key is a primary key that consists of more than one attribute. (c) A foreign key can be an attribute in a relation of a database that draws values from the same domain as a primary key of another relation in the same database. (d) Candidate key is an attribute that uniquely identifies a column in a relation. (e) One field or combination of fields for which more than one record may have the same combination of values is called the secondary key. 15) Select the  correct statement(s)  describing the  keys  used in a  Relational Data Model .
Relational Data Model (b) A composite key is a primary key that consists of more than one attribute. (c) A foreign key can be an attribute in a relation of a database that draws values from the same domain as a primary key of another relation in the same database. (a) A primary key is an attribute that uniquely identifies each row in a relation.
Relational Data Model (d) Candidate key is an attribute that uniquely identifies a column in a relation. (e) One field or combination of fields for which more than one record may have the same combination of values is called the secondary key.
16) Which of the following statement(s) is (are) correct with respect of external views? (a) Hide data from unauthorised users. (b) Permit the use of derive attributes. (c) Join attributes from several tables to create a new virtual table for a user. (d) Allows changing the unit of measurement of some stored data. (e) User level security can be implemented 16) Which of the following  statement(s) is (are) correct  with respect of  external views ?
External views (b) Permit the use of derive attributes. (c) Join attributes from several tables to create a new virtual table for a user. (d) Allows changing the unit of measurement of some stored data. (e) User level security can be implemented (a) Hide data from unauthorised users.
17) Which of the following are characteristics of a data warehouse? (a) It is an integrated decision support system. (b) It derives data from various operational databases. (c) It uses object-oriented data. (d) Data it uses is volatile. (e) Data it uses is time-variant. 17) Which of the following are characteristics of a data warehouse? 17) Which of the following  are characteristics  of a  data warehouse ?
Data Warehouse (b) It derives data from various operational databases. (c) It uses  object-oriented  data. subject-oriented (d) Data it uses is volatile. Non-volatile (e) Data it uses is time-variant. (a) It is an integrated decision support system.
18) Data partitioning would: (a) Improve efficiency of access to data. (b) Allow local optimisation. (c) Improve security of the data. (d) Reduce complicity of programs (e) Have no impact on data storage space. 18) Data partitioning  would:
Distributed Databases (b) Allow local optimisation. (c) Improve security of the data. (d) Reduce complicity of programs (e) Have no impact on data storage space. (a) Improve efficiency of access to data.
Contact ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

9. Searching & Sorting - Data Structures using C++ by Varsha Patil
9. Searching & Sorting - Data Structures using C++ by Varsha Patil9. Searching & Sorting - Data Structures using C++ by Varsha Patil
9. Searching & Sorting - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
10. Search Tree - Data Structures using C++ by Varsha Patil
10. Search Tree - Data Structures using C++ by Varsha Patil10. Search Tree - Data Structures using C++ by Varsha Patil
10. Search Tree - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
3. Stack - Data Structures using C++ by Varsha Patil
3. Stack - Data Structures using C++ by Varsha Patil3. Stack - Data Structures using C++ by Varsha Patil
3. Stack - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
7. Tree - Data Structures using C++ by Varsha Patil
7. Tree - Data Structures using C++ by Varsha Patil7. Tree - Data Structures using C++ by Varsha Patil
7. Tree - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
Part2- The Atomic Information Resource
Part2- The Atomic Information ResourcePart2- The Atomic Information Resource
Part2- The Atomic Information ResourceJEAN-MICHEL LETENNIER
 
Acc 564 quiz 4 – strayer new
Acc 564 quiz 4 – strayer newAcc 564 quiz 4 – strayer new
Acc 564 quiz 4 – strayer newninfaames
 
13. Indexing MTrees - Data Structures using C++ by Varsha Patil
13. Indexing MTrees - Data Structures using C++ by Varsha Patil13. Indexing MTrees - Data Structures using C++ by Varsha Patil
13. Indexing MTrees - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
Lecture 07 Data Structures - Basic Sorting
Lecture 07 Data Structures - Basic SortingLecture 07 Data Structures - Basic Sorting
Lecture 07 Data Structures - Basic SortingHaitham El-Ghareeb
 
Tutorial for Circular and Rectangular Manhattan plots
Tutorial for Circular and Rectangular Manhattan plotsTutorial for Circular and Rectangular Manhattan plots
Tutorial for Circular and Rectangular Manhattan plotsAvjinder (Avi) Kaler
 
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Andy Petrella
 
Basic Tutorial of Association Mapping by Avjinder Kaler
Basic Tutorial of Association Mapping by Avjinder KalerBasic Tutorial of Association Mapping by Avjinder Kaler
Basic Tutorial of Association Mapping by Avjinder KalerAvjinder (Avi) Kaler
 
16. Algo analysis & Design - Data Structures using C++ by Varsha Patil
16. Algo analysis & Design - Data Structures using C++ by Varsha Patil16. Algo analysis & Design - Data Structures using C++ by Varsha Patil
16. Algo analysis & Design - Data Structures using C++ by Varsha Patilwidespreadpromotion
 
8. Graph - Data Structures using C++ by Varsha Patil
8. Graph - Data Structures using C++ by Varsha Patil8. Graph - Data Structures using C++ by Varsha Patil
8. Graph - Data Structures using C++ by Varsha Patilwidespreadpromotion
 

What's hot (20)

Dbms quiz
Dbms quiz Dbms quiz
Dbms quiz
 
9. Searching & Sorting - Data Structures using C++ by Varsha Patil
9. Searching & Sorting - Data Structures using C++ by Varsha Patil9. Searching & Sorting - Data Structures using C++ by Varsha Patil
9. Searching & Sorting - Data Structures using C++ by Varsha Patil
 
10. Search Tree - Data Structures using C++ by Varsha Patil
10. Search Tree - Data Structures using C++ by Varsha Patil10. Search Tree - Data Structures using C++ by Varsha Patil
10. Search Tree - Data Structures using C++ by Varsha Patil
 
3. Stack - Data Structures using C++ by Varsha Patil
3. Stack - Data Structures using C++ by Varsha Patil3. Stack - Data Structures using C++ by Varsha Patil
3. Stack - Data Structures using C++ by Varsha Patil
 
7. Tree - Data Structures using C++ by Varsha Patil
7. Tree - Data Structures using C++ by Varsha Patil7. Tree - Data Structures using C++ by Varsha Patil
7. Tree - Data Structures using C++ by Varsha Patil
 
Part2- The Atomic Information Resource
Part2- The Atomic Information ResourcePart2- The Atomic Information Resource
Part2- The Atomic Information Resource
 
Q1 (a)
Q1 (a)Q1 (a)
Q1 (a)
 
Acc 564 quiz 4 – strayer new
Acc 564 quiz 4 – strayer newAcc 564 quiz 4 – strayer new
Acc 564 quiz 4 – strayer new
 
Data models
Data modelsData models
Data models
 
13. Indexing MTrees - Data Structures using C++ by Varsha Patil
13. Indexing MTrees - Data Structures using C++ by Varsha Patil13. Indexing MTrees - Data Structures using C++ by Varsha Patil
13. Indexing MTrees - Data Structures using C++ by Varsha Patil
 
What is data structure
What is data structureWhat is data structure
What is data structure
 
Trees
TreesTrees
Trees
 
ADO CONTROLS - Database usage
ADO CONTROLS - Database usageADO CONTROLS - Database usage
ADO CONTROLS - Database usage
 
Lecture 07 Data Structures - Basic Sorting
Lecture 07 Data Structures - Basic SortingLecture 07 Data Structures - Basic Sorting
Lecture 07 Data Structures - Basic Sorting
 
Tutorial for Circular and Rectangular Manhattan plots
Tutorial for Circular and Rectangular Manhattan plotsTutorial for Circular and Rectangular Manhattan plots
Tutorial for Circular and Rectangular Manhattan plots
 
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
 
Basic Tutorial of Association Mapping by Avjinder Kaler
Basic Tutorial of Association Mapping by Avjinder KalerBasic Tutorial of Association Mapping by Avjinder Kaler
Basic Tutorial of Association Mapping by Avjinder Kaler
 
NoSQL
NoSQLNoSQL
NoSQL
 
16. Algo analysis & Design - Data Structures using C++ by Varsha Patil
16. Algo analysis & Design - Data Structures using C++ by Varsha Patil16. Algo analysis & Design - Data Structures using C++ by Varsha Patil
16. Algo analysis & Design - Data Structures using C++ by Varsha Patil
 
8. Graph - Data Structures using C++ by Varsha Patil
8. Graph - Data Structures using C++ by Varsha Patil8. Graph - Data Structures using C++ by Varsha Patil
8. Graph - Data Structures using C++ by Varsha Patil
 

Viewers also liked

BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.com
BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.comBAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.com
BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.comWolfgang Stolle
 
Foodies- An e-Food inventory Management Portal
Foodies- An e-Food inventory Management PortalFoodies- An e-Food inventory Management Portal
Foodies- An e-Food inventory Management PortalLJ PROJECTS
 
Restranz - Restaurant Management System
Restranz - Restaurant Management SystemRestranz - Restaurant Management System
Restranz - Restaurant Management SystemAspelec
 
Restaurant Management System
Restaurant Management SystemRestaurant Management System
Restaurant Management SystemJuliasmith1985
 
Cafeteria management system in sanothimi campus(cms) suresh
Cafeteria management system in sanothimi campus(cms) sureshCafeteria management system in sanothimi campus(cms) suresh
Cafeteria management system in sanothimi campus(cms) sureshNawaraj Ghimire
 
Online restaurant management system
Online restaurant management systemOnline restaurant management system
Online restaurant management systemAmal Jose
 
Alumni portal ppt for projects
Alumni portal ppt for projectsAlumni portal ppt for projects
Alumni portal ppt for projectsShanker Goud
 
Restaurent management system
Restaurent management systemRestaurent management system
Restaurent management systemSmit Patel
 
Restaurant Management Systems
Restaurant Management SystemsRestaurant Management Systems
Restaurant Management SystemsAnil Bilgihan
 
Log Home Maintenance Slides
Log Home Maintenance SlidesLog Home Maintenance Slides
Log Home Maintenance SlidesJohn Schroeder
 
PPT FOR ONLINE HOTEL MANAGEMENT
PPT FOR ONLINE HOTEL MANAGEMENTPPT FOR ONLINE HOTEL MANAGEMENT
PPT FOR ONLINE HOTEL MANAGEMENTJaya0006
 
The ABC’s of Living a Healthy Life
The ABC’s of Living a Healthy LifeThe ABC’s of Living a Healthy Life
The ABC’s of Living a Healthy LifeDr. Omer Hameed
 

Viewers also liked (15)

BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.com
BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.comBAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.com
BAYLINER 285 Cs, 2008, £57,500 For Sale Brochure. Presented By yachtingelite.com
 
Foodies- An e-Food inventory Management Portal
Foodies- An e-Food inventory Management PortalFoodies- An e-Food inventory Management Portal
Foodies- An e-Food inventory Management Portal
 
Home Maintenance Plan
Home Maintenance PlanHome Maintenance Plan
Home Maintenance Plan
 
Restranz - Restaurant Management System
Restranz - Restaurant Management SystemRestranz - Restaurant Management System
Restranz - Restaurant Management System
 
Restaurant Management System
Restaurant Management SystemRestaurant Management System
Restaurant Management System
 
Restaurant Management 101
Restaurant Management 101Restaurant Management 101
Restaurant Management 101
 
Cafeteria management system in sanothimi campus(cms) suresh
Cafeteria management system in sanothimi campus(cms) sureshCafeteria management system in sanothimi campus(cms) suresh
Cafeteria management system in sanothimi campus(cms) suresh
 
Online restaurant management system
Online restaurant management systemOnline restaurant management system
Online restaurant management system
 
Alumni portal ppt for projects
Alumni portal ppt for projectsAlumni portal ppt for projects
Alumni portal ppt for projects
 
Restaurant Management System
Restaurant Management SystemRestaurant Management System
Restaurant Management System
 
Restaurent management system
Restaurent management systemRestaurent management system
Restaurent management system
 
Restaurant Management Systems
Restaurant Management SystemsRestaurant Management Systems
Restaurant Management Systems
 
Log Home Maintenance Slides
Log Home Maintenance SlidesLog Home Maintenance Slides
Log Home Maintenance Slides
 
PPT FOR ONLINE HOTEL MANAGEMENT
PPT FOR ONLINE HOTEL MANAGEMENTPPT FOR ONLINE HOTEL MANAGEMENT
PPT FOR ONLINE HOTEL MANAGEMENT
 
The ABC’s of Living a Healthy Life
The ABC’s of Living a Healthy LifeThe ABC’s of Living a Healthy Life
The ABC’s of Living a Healthy Life
 

Similar to Preparing for BIT – IT2301 Database Management Systems 2001e

Database Design 1. What is a data model A. method of sto.docx
Database Design 1.  What is a data model A. method of sto.docxDatabase Design 1.  What is a data model A. method of sto.docx
Database Design 1. What is a data model A. method of sto.docxtheodorelove43763
 
Database Design 1. What is a data model A. method of sto.docx
Database Design 1.  What is a data model A. method of sto.docxDatabase Design 1.  What is a data model A. method of sto.docx
Database Design 1. What is a data model A. method of sto.docxwhittemorelucilla
 
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014prabhatjon
 
DBMS Multiple Choice Questions
DBMS Multiple Choice QuestionsDBMS Multiple Choice Questions
DBMS Multiple Choice QuestionsShusil Baral
 
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...Kumar Nirmal Prasad
 
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...Kumar Nirmal Prasad
 
1) A form of database design which maps conceptual requirements is ca.pdf
1) A form of database design which maps conceptual requirements is ca.pdf1) A form of database design which maps conceptual requirements is ca.pdf
1) A form of database design which maps conceptual requirements is ca.pdfamit598273
 
E.F. Codd (1970). Evolution of Current Generation Database Tech.docx
E.F. Codd (1970).  Evolution of Current Generation Database Tech.docxE.F. Codd (1970).  Evolution of Current Generation Database Tech.docx
E.F. Codd (1970). Evolution of Current Generation Database Tech.docxjacksnathalie
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxAnmolThakur67
 
csedatabasemanagementsystemppt-170825044344.pdf
csedatabasemanagementsystemppt-170825044344.pdfcsedatabasemanagementsystemppt-170825044344.pdf
csedatabasemanagementsystemppt-170825044344.pdfSameerKhanPathan7
 
S2 DATA PROCESSING FIRST TERM C.A 2
S2 DATA PROCESSING FIRST TERM C.A 2S2 DATA PROCESSING FIRST TERM C.A 2
S2 DATA PROCESSING FIRST TERM C.A 2Ejiro Ndifereke
 
Primilimnary round questions with answers
Primilimnary round questions with answersPrimilimnary round questions with answers
Primilimnary round questions with answersDr. C.V. Suresh Babu
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxsqlserver4
 
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptx
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptxСРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptx
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptxssuser8719a6
 

Similar to Preparing for BIT – IT2301 Database Management Systems 2001e (20)

Database Design 1. What is a data model A. method of sto.docx
Database Design 1.  What is a data model A. method of sto.docxDatabase Design 1.  What is a data model A. method of sto.docx
Database Design 1. What is a data model A. method of sto.docx
 
Database Design 1. What is a data model A. method of sto.docx
Database Design 1.  What is a data model A. method of sto.docxDatabase Design 1.  What is a data model A. method of sto.docx
Database Design 1. What is a data model A. method of sto.docx
 
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014
GUESS FUNDAMENTAL PAPER FOE CCAT Feb 2014
 
DBMS Multiple Choice Questions
DBMS Multiple Choice QuestionsDBMS Multiple Choice Questions
DBMS Multiple Choice Questions
 
D 17
D 17D 17
D 17
 
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
 
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
1 allahabad bank-probationary-officers-exam-computer-general-awareness-solved...
 
1) A form of database design which maps conceptual requirements is ca.pdf
1) A form of database design which maps conceptual requirements is ca.pdf1) A form of database design which maps conceptual requirements is ca.pdf
1) A form of database design which maps conceptual requirements is ca.pdf
 
E.F. Codd (1970). Evolution of Current Generation Database Tech.docx
E.F. Codd (1970).  Evolution of Current Generation Database Tech.docxE.F. Codd (1970).  Evolution of Current Generation Database Tech.docx
E.F. Codd (1970). Evolution of Current Generation Database Tech.docx
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptx
 
Database Management System ppt
Database Management System pptDatabase Management System ppt
Database Management System ppt
 
csedatabasemanagementsystemppt-170825044344.pdf
csedatabasemanagementsystemppt-170825044344.pdfcsedatabasemanagementsystemppt-170825044344.pdf
csedatabasemanagementsystemppt-170825044344.pdf
 
S2 DATA PROCESSING FIRST TERM C.A 2
S2 DATA PROCESSING FIRST TERM C.A 2S2 DATA PROCESSING FIRST TERM C.A 2
S2 DATA PROCESSING FIRST TERM C.A 2
 
Primilimnary round questions with answers
Primilimnary round questions with answersPrimilimnary round questions with answers
Primilimnary round questions with answers
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptx
 
Mcq m8
Mcq m8Mcq m8
Mcq m8
 
Database system structure
Database system structureDatabase system structure
Database system structure
 
PBI Requirements.pdf
PBI Requirements.pdfPBI Requirements.pdf
PBI Requirements.pdf
 
Sql
SqlSql
Sql
 
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptx
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptxСРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptx
СРС АКТ Малошов Нұралы ВМ-МҚБ-11-23.pptx
 

More from Gihan Wikramanayake

Using ICT to Promote Learning in a Medical Faculty
Using ICT to Promote Learning in a Medical FacultyUsing ICT to Promote Learning in a Medical Faculty
Using ICT to Promote Learning in a Medical FacultyGihan Wikramanayake
 
Evaluation of English and IT skills of new entrants to Sri Lankan universities
Evaluation of English and IT skills of new entrants to Sri Lankan universitiesEvaluation of English and IT skills of new entrants to Sri Lankan universities
Evaluation of English and IT skills of new entrants to Sri Lankan universitiesGihan Wikramanayake
 
Broadcasting Technology: Overview
Broadcasting  Technology: OverviewBroadcasting  Technology: Overview
Broadcasting Technology: OverviewGihan Wikramanayake
 
Importance of Information Technology for Sports
Importance of Information Technology for SportsImportance of Information Technology for Sports
Importance of Information Technology for SportsGihan Wikramanayake
 
Improving student learning through assessment for learning using social media...
Improving student learning through assessment for learning using social media...Improving student learning through assessment for learning using social media...
Improving student learning through assessment for learning using social media...Gihan Wikramanayake
 
Exploiting Tourism through Data Warehousing
Exploiting Tourism through Data WarehousingExploiting Tourism through Data Warehousing
Exploiting Tourism through Data WarehousingGihan Wikramanayake
 
Speaker Search and Indexing for Multimedia Databases
Speaker Search and Indexing for Multimedia DatabasesSpeaker Search and Indexing for Multimedia Databases
Speaker Search and Indexing for Multimedia DatabasesGihan Wikramanayake
 
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...Gihan Wikramanayake
 
Analysis of Multiple Choice Question Papers with Special Reference to those s...
Analysis of Multiple Choice Question Papers with Special Reference to those s...Analysis of Multiple Choice Question Papers with Special Reference to those s...
Analysis of Multiple Choice Question Papers with Special Reference to those s...Gihan Wikramanayake
 
Assisting Migration and Evolution of Relational Legacy Databases
Assisting Migration and Evolution of Relational Legacy DatabasesAssisting Migration and Evolution of Relational Legacy Databases
Assisting Migration and Evolution of Relational Legacy DatabasesGihan Wikramanayake
 
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව දිනමිණ, පරිගණක දැනුම
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව   දිනමිණ, පරිගණක දැනුමICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව   දිනමිණ, පරිගණක දැනුම
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව දිනමිණ, පරිගණක දැනුමGihan Wikramanayake
 
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය දිනමිණ, පරිගණක දැනුම
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය   දිනමිණ, පරිගණක දැනුමවෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය   දිනමිණ, පරිගණක දැනුම
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය දිනමිණ, පරිගණක දැනුමGihan Wikramanayake
 
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා දිනමිණ, පරිගණක දැනුම
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා   දිනමිණ, පරිගණක දැනුමපරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා   දිනමිණ, පරිගණක දැනුම
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා දිනමිණ, පරිගණක දැනුමGihan Wikramanayake
 
Balanced Scorecard and its relationship to UMM
Balanced Scorecard and its relationship to UMMBalanced Scorecard and its relationship to UMM
Balanced Scorecard and its relationship to UMMGihan Wikramanayake
 
Web Usage Mining based on Heuristics: Drawbacks
Web Usage Mining based on Heuristics: DrawbacksWeb Usage Mining based on Heuristics: Drawbacks
Web Usage Mining based on Heuristics: DrawbacksGihan Wikramanayake
 
Evolving and Migrating Relational Legacy Databases
Evolving and Migrating Relational Legacy DatabasesEvolving and Migrating Relational Legacy Databases
Evolving and Migrating Relational Legacy DatabasesGihan Wikramanayake
 
Re-Engineering Databases using Meta-Programming Technology
Re-Engineering Databases using Meta-Programming TechnologyRe-Engineering Databases using Meta-Programming Technology
Re-Engineering Databases using Meta-Programming TechnologyGihan Wikramanayake
 

More from Gihan Wikramanayake (20)

Using ICT to Promote Learning in a Medical Faculty
Using ICT to Promote Learning in a Medical FacultyUsing ICT to Promote Learning in a Medical Faculty
Using ICT to Promote Learning in a Medical Faculty
 
Evaluation of English and IT skills of new entrants to Sri Lankan universities
Evaluation of English and IT skills of new entrants to Sri Lankan universitiesEvaluation of English and IT skills of new entrants to Sri Lankan universities
Evaluation of English and IT skills of new entrants to Sri Lankan universities
 
Learning beyond the classroom
Learning beyond the classroomLearning beyond the classroom
Learning beyond the classroom
 
Broadcasting Technology: Overview
Broadcasting  Technology: OverviewBroadcasting  Technology: Overview
Broadcasting Technology: Overview
 
Importance of Information Technology for Sports
Importance of Information Technology for SportsImportance of Information Technology for Sports
Importance of Information Technology for Sports
 
Improving student learning through assessment for learning using social media...
Improving student learning through assessment for learning using social media...Improving student learning through assessment for learning using social media...
Improving student learning through assessment for learning using social media...
 
Exploiting Tourism through Data Warehousing
Exploiting Tourism through Data WarehousingExploiting Tourism through Data Warehousing
Exploiting Tourism through Data Warehousing
 
Speaker Search and Indexing for Multimedia Databases
Speaker Search and Indexing for Multimedia DatabasesSpeaker Search and Indexing for Multimedia Databases
Speaker Search and Indexing for Multimedia Databases
 
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...
Authropometry of Sri Lankan Sportsmen and Sportswomen, with Special Reference...
 
Analysis of Multiple Choice Question Papers with Special Reference to those s...
Analysis of Multiple Choice Question Papers with Special Reference to those s...Analysis of Multiple Choice Question Papers with Special Reference to those s...
Analysis of Multiple Choice Question Papers with Special Reference to those s...
 
Assisting Migration and Evolution of Relational Legacy Databases
Assisting Migration and Evolution of Relational Legacy DatabasesAssisting Migration and Evolution of Relational Legacy Databases
Assisting Migration and Evolution of Relational Legacy Databases
 
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව දිනමිණ, පරිගණක දැනුම
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව   දිනමිණ, පරිගණක දැනුමICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව   දිනමිණ, පරිගණක දැනුම
ICT ප්‍රාරම්භක ඩිප්ලෝමා පාඨමාලාව දිනමිණ, පරිගණක දැනුම
 
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය දිනමිණ, පරිගණක දැනුම
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය   දිනමිණ, පරිගණක දැනුමවෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය   දිනමිණ, පරිගණක දැනුම
වෘත්තීය අවස්ථා වැඩි පරිගණක ක්ෂේත‍්‍රය දිනමිණ, පරිගණක දැනුම
 
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා දිනමිණ, පරිගණක දැනුම
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා   දිනමිණ, පරිගණක දැනුමපරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා   දිනමිණ, පරිගණක දැනුම
පරිගණක ක්ෂේත‍්‍රයේ වෘත්තීය අවස්ථා දිනමිණ, පරිගණක දැනුම
 
Producing Employable Graduates
Producing Employable GraduatesProducing Employable Graduates
Producing Employable Graduates
 
Balanced Scorecard and its relationship to UMM
Balanced Scorecard and its relationship to UMMBalanced Scorecard and its relationship to UMM
Balanced Scorecard and its relationship to UMM
 
An SMS-Email Reader
An SMS-Email ReaderAn SMS-Email Reader
An SMS-Email Reader
 
Web Usage Mining based on Heuristics: Drawbacks
Web Usage Mining based on Heuristics: DrawbacksWeb Usage Mining based on Heuristics: Drawbacks
Web Usage Mining based on Heuristics: Drawbacks
 
Evolving and Migrating Relational Legacy Databases
Evolving and Migrating Relational Legacy DatabasesEvolving and Migrating Relational Legacy Databases
Evolving and Migrating Relational Legacy Databases
 
Re-Engineering Databases using Meta-Programming Technology
Re-Engineering Databases using Meta-Programming TechnologyRe-Engineering Databases using Meta-Programming Technology
Re-Engineering Databases using Meta-Programming Technology
 

Recently uploaded

HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
Q4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxQ4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxnelietumpap1
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 

Recently uploaded (20)

HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
Q4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxQ4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptx
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 

Preparing for BIT – IT2301 Database Management Systems 2001e

  • 1. IT2301 Database Management Systems [email_address] PREPARING FOR THE BIT Preparing for BIT 19/07/2001
  • 3.
  • 4.
  • 5. Evolution 1980s Distributed systems 1990s Object-oriented Object-relational Data warehousing (a), (c) (b) Relational, object-relational, data warehousing. (d) SQL, relational , object-oriented.
  • 6. 10) Which of the following is (are) true for database management systems? (a) Provide protection for data against unexpected loss, damage or destruction. (b) Allow maintenance of high quality, consistent and up to date data. (c) Keep data and the programs that manipulate it together. (d) Prevent unauthorised access to data. (e) Do not allow same data element to appear in more than one place. 10) Which of the following is (are) true for database management systems ?
  • 7. Introduction to DBMS (c) Keep data and the programs that manipulate it together. Data Independence (a) Provide protection for data against unexpected loss, damage or destruction. Transaction Management (b) Allow maintenance of high quality, consistent and up to date data. Integrity
  • 8. Introduction to DBMS (a), (b) (d) Prevent unauthorised access to data. Data Security (e) Do not allow same data element to appear in more than one place. Minimise Data Redundancy
  • 9. 11) Which of the following statement(s) is (are) components of DBMS? (a) Data dictionary/directory subsystem (b) Security and integrity subsystem. (c) Database administrator. (d) Users and programmers. (e) Hardware and data. 11) Which of the following statement(s) is (are) components of DBMS ?
  • 10.
  • 11. 12) Which of the following is (are) true for the 3 level architecture? (a) The physical schema should assist to locate the data stored on disk. (b) The logical view of the data provides the view of data for the user. (c) Data authorisation can be specified for the physical schema. (d) Program/data independence is eliminated due to this architecture. (e) New data can be derived with the help of sub-schemas. 12) Which of the following is (are) true for the 3 level architecture ?
  • 12. 3 level architecture (b) The logical view of the data provides the view of data for the user. (c) Data authorisation can be specified for the physical schema. (d) Program/data independence is eliminated due to this architecture. (e) New data can be derived with the help of sub-schemas. (a) The physical schema should assist to locate the data stored on disk.
  • 13. 13) Which of the following can be considered as a part of data dictionary? (a) Metadata (b) The complete set of data records. (c) Data flow diagram of the system (d) System catalog tables. (e) An Entity-Relationship diagram of the schema. 13) Which of the following can be considered as a part of data dictionary ?
  • 14. Data Dictionary (b) The complete set of data records. (c) Data flow diagram of the system (d) System catalog tables. (e) An Entity-Relationship diagram of the schema. (a) Metadata
  • 15. 14) The term used to identify a row of a table in the relational data model is (a) Cardinality (b) Data (c) Data Set (d) Tuple (e) Record 14) The term used to identify a row of a table in the relational data model is (d) Tuple
  • 16. 15) Select the correct statement(s) describing the keys used in a Relational Data Model. (a) A primary key is an attribute that uniquely identifies each row in a relation. (b) A composite key is a primary key that consists of more than one attribute. (c) A foreign key can be an attribute in a relation of a database that draws values from the same domain as a primary key of another relation in the same database. (d) Candidate key is an attribute that uniquely identifies a column in a relation. (e) One field or combination of fields for which more than one record may have the same combination of values is called the secondary key. 15) Select the correct statement(s) describing the keys used in a Relational Data Model .
  • 17. Relational Data Model (b) A composite key is a primary key that consists of more than one attribute. (c) A foreign key can be an attribute in a relation of a database that draws values from the same domain as a primary key of another relation in the same database. (a) A primary key is an attribute that uniquely identifies each row in a relation.
  • 18. Relational Data Model (d) Candidate key is an attribute that uniquely identifies a column in a relation. (e) One field or combination of fields for which more than one record may have the same combination of values is called the secondary key.
  • 19. 16) Which of the following statement(s) is (are) correct with respect of external views? (a) Hide data from unauthorised users. (b) Permit the use of derive attributes. (c) Join attributes from several tables to create a new virtual table for a user. (d) Allows changing the unit of measurement of some stored data. (e) User level security can be implemented 16) Which of the following statement(s) is (are) correct with respect of external views ?
  • 20. External views (b) Permit the use of derive attributes. (c) Join attributes from several tables to create a new virtual table for a user. (d) Allows changing the unit of measurement of some stored data. (e) User level security can be implemented (a) Hide data from unauthorised users.
  • 21. 17) Which of the following are characteristics of a data warehouse? (a) It is an integrated decision support system. (b) It derives data from various operational databases. (c) It uses object-oriented data. (d) Data it uses is volatile. (e) Data it uses is time-variant. 17) Which of the following are characteristics of a data warehouse? 17) Which of the following are characteristics of a data warehouse ?
  • 22. Data Warehouse (b) It derives data from various operational databases. (c) It uses object-oriented data. subject-oriented (d) Data it uses is volatile. Non-volatile (e) Data it uses is time-variant. (a) It is an integrated decision support system.
  • 23. 18) Data partitioning would: (a) Improve efficiency of access to data. (b) Allow local optimisation. (c) Improve security of the data. (d) Reduce complicity of programs (e) Have no impact on data storage space. 18) Data partitioning would:
  • 24. Distributed Databases (b) Allow local optimisation. (c) Improve security of the data. (d) Reduce complicity of programs (e) Have no impact on data storage space. (a) Improve efficiency of access to data.
  • 25.