SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
www.studentyogi.com                                                                     www.studentyogi.com

         Code No: RR220502
                                                                                 Set No. 1
             II B.Tech II Semester Supplimentary Examinations, Apr/May 2008
                             DATA BASE MANAGEMENT SYSTEMS
           ( Common to Computer Science & Engineering, Information Technology
                           and Computer Science & Systems Engineering)
         Time: 3 hours                                                        Max Marks: 80
                                      Answer any FIVE Questions
                                    All Questions carry equal marks



           1. (a) Explain the drawbacks of traditional le processing systems with examples.
               (b) Explain the three levels of data abstraction.                                  [7+9]

           2. (a) What is a view? Explain the a views in SQL?
               (b) Explain nested queries with example in SQL ?                                   [8+8]

           3. (a) Which of the three basic le organizations would you cho ose for a le where
                   the most frequent operations are as follows,
                      i. Search for records based on a range of eld values.
                     ii. Perform insert and scans where the order of records does not matter.
                    iii. Search for a record based on a particular eld value.
               (b) De ne dense index.
               (c) How does multi level indexing improve the performance of searching an index
                    le.                                                                      [6+4+6]

           4. (a) Explain about pro jection based on sorting.
               (b) Explain about pro jection based on hashing.                                    [8+8]

           5. (a) What is indexing ? Explain with an example.
               (b) Explain about query processing.                                                [8+8]

           6. (a) Explain functional dependencies and multivalued dependencies with examples.
               (b) Consider the relation R(A,B,C,D,E,F) and FD’s

                    A BC F A
                    C A
                    D EE D


                    is the decomposition of R into 1 (A,C,D), 2 (B,C,D) and 3 (E,F,D) loss
                    less? Explain the requirement of loss less decomposition. [8+8]

           7. (a) De ne the concept of a schedule for a set of concurrent transactions. Give a
                    suitable example.
               (b) Explain how does granularity of locking a ect the performance of concurrency
www.studentyogi.com                                                            www.studentyogi.com

         Code No: RR220502
                                                                        Set No. 1
           8. Explain WAL Proto col, UNDO algorithm, Check pointing and Media Recovery?
                                                                                          [16]
www.studentyogi.com                                                                      www.studentyogi.com

         Code No: RR220502
                                                                                 Set No. 2
             II B.Tech II Semester Supplimentary Examinations, Apr/May 2008
                             DATA BASE MANAGEMENT SYSTEMS
           ( Common to Computer Science & Engineering, Information Technology
                           and Computer Science & Systems Engineering)
         Time: 3 hours                                                        Max Marks: 80
                                      Answer any FIVE Questions
                                    All Questions carry equal marks



           1. Write short notes on:

               (a) Key constraints
               (b) General constraints

               (c) Relational calculus.                                                               [6+5+5]
           2. (a) What is a view? Explain the a views in SQL?
               (b) Explain nested queries with example in SQL ?                                         [8+8]

           3. (a) Explain the limitations of static hashing. Explain how this is overcome in
                    dynamic hashing.
               (b) Write a note on indexed sequential les.                                             [10+6]
           4. (a) Consider the following SQL query for a bank database
                                      -

                                      ¿                            -=”
                    Write an e cient relational algebra expression that is equivalent to the query.
               (b) De ne query optimization and at what point during query processing does
                    optimization o ccur?                                                                [8+8]
           5. (a) What is indexing ? Explain with an example.
               (b) Explain about query processing.                                                      [8+8]
           6. (a) Let R=(A,B,C,D,E) and let M be the following set of multivalued dependencies
                    A- BC
                    B- CD
                    E- AD
                    List the nontrivial dependencies in M+
               (b) Describe the properties of normalized and unnormalized relations. [10+6]

           7. (a) Explain the concept of transaction atomicity.
               (b) How does the two phase locking proto col ensures serializability? [6+10]
           8. Explain in detail the ARIES recovery method.                                               [16]
www.studentyogi.com                                                                      www.studentyogi.com

         Code No: RR220502
                                                                                 Set No. 3
             II B.Tech II Semester Supplimentary Examinations, Apr/May 2008
                             DATA BASE MANAGEMENT SYSTEMS
           ( Common to Computer Science & Engineering, Information Technology
                           and Computer Science & Systems Engineering)
         Time: 3 hours                                                        Max Marks: 80
                                      Answer any FIVE Questions
                                    All Questions carry equal marks



           1. (a) What is DBMS? Explain the advantages of DBMS. [2+5=7]
               (b) What is a data model? Explain the relational data model. [3+6=9]

           2. (a) Give the various methods of managing data security.
               (b) Describe the “dynamic SQL”.                                                          [8+8]

           3. Discuss the di erence between index sequential and hashed le organizations. Com-
              pare their storage and access e ciencies. List the applications where each of the
               le organization is suitable.                                                              [16]

           4. (a) Consider the following SQL query for a bank database
                                      -

                                      ¿                            -=”
                    Write an e cient relational algebra expression that is equivalent to the query.
               (b) De ne query optimization and at what point during query processing does
                    optimization o ccur?                                                                [8+8]

           5. Show that the following equivalences hold and explain how they can be applied to
               improve the e ciency of certain updates.

               (a) ( 1 2) 3 = 1 ( 2 3)
               (b) 1 2 = 2 = 2 3

               (c) p( 1 - 2) = p(r1) - p( 2)                                                          [5+4+7]

           6. (a) List the three design goals for relational database and explain why they are
                     desirable.
               (b) Consider the relation scheme Emp Dept( Ename, SSN, Bdate, Address, Dnum-
                    ber, Dname, DMGRSSN) and the following set of FD’s
                    F={ SSN- Ename,Bdate, Address, Dnumber
                    Dnumber- Dname, DMGRSSN}
                    Calculate the closer {SSN}+ and {Dnumber}+ with respect to F. [6+10]

           7. (a) What information does the dirty page table and transaction table contain?
               (b) Give a short notes on recovery from deadlock.                                       [6+10]
www.studentyogi.com                                                                www.studentyogi.com

         Code No: RR220502
                                                                            Set No. 3
           8. Describe the shadow paging recovery technique. Under what circumstances does it
              not require a log.                                                                [16]
www.studentyogi.com                                                                     www.studentyogi.com

         Code No: RR220502
                                                                                Set No. 4
             II B.Tech II Semester Supplimentary Examinations, Apr/May 2008
                             DATA BASE MANAGEMENT SYSTEMS
           ( Common to Computer Science & Engineering, Information Technology
                           and Computer Science & Systems Engineering)
         Time: 3 hours                                                        Max Marks: 80
                                      Answer any FIVE Questions
                                    All Questions carry equal marks



           1. (a) What is a Data model ? List the important data models [8]
               (b) Explain
                      i. DDL
                     ii. DML
                    iii. Data sublanguage
                    iv. Host language                                                         [2+2+2+2]

           2. (a) Discuss the various DDL, DML commands with illustrations in SQL.
               (b) Why are null values not preferred in a relation?                                [12+4]

           3. Give algorithms for inserting a new key into a B-tree                                  [16]

           4. (a) Discuss about cost based optimization.
               (b) Give a detailed account of heuristic optimization.                               [8+8]

           5. (a) Discuss the reasons for converting SQL queries into relational algebra queries
                    before optimization is done.
               (b) What is meant by query execution plan? Explain its signi cance. [10+6]

           6. (a) Explain the functional dependencies and multi valued dependencies with ex-
                    amples.
               (b) What is normalization? Discuss the 1NF,2NF, and 3NF Normal forms with
                   examples.                                                                        [8+8]

           7. (a) Explain timestamp ordering with an algorithm.
               (b) Explain di erent locking Techniques for concurrency control. [8+8]

           8. (a) When a system recovers from a crash ? In what order must transaction be
                   Undone and Redone? Why is this order important?
               (b) What is a log in the content of DBMS? How does check pointing eliminate
                   some of the problems associated with log based recovery? [8+8]

Weitere ähnliche Inhalte

Was ist angesagt?

Similarity-preserving hash for content-based audio retrieval using unsupervis...
Similarity-preserving hash for content-based audio retrieval using unsupervis...Similarity-preserving hash for content-based audio retrieval using unsupervis...
Similarity-preserving hash for content-based audio retrieval using unsupervis...IJECEIAES
 
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...ijcsit
 
Kliment oggioni ppt_gi2011_env_europe_remote_final
Kliment oggioni ppt_gi2011_env_europe_remote_finalKliment oggioni ppt_gi2011_env_europe_remote_final
Kliment oggioni ppt_gi2011_env_europe_remote_finalIGN Vorstand
 
07 A1 Ec01 C Programming And Data Structures
07 A1 Ec01 C Programming And Data Structures07 A1 Ec01 C Programming And Data Structures
07 A1 Ec01 C Programming And Data Structuresguestac67362
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
Web Information Extraction Learning based on Probabilistic Graphical Models
Web Information Extraction Learning based on Probabilistic Graphical ModelsWeb Information Extraction Learning based on Probabilistic Graphical Models
Web Information Extraction Learning based on Probabilistic Graphical ModelsGUANBO
 

Was ist angesagt? (10)

Data structure-question-bank
Data structure-question-bankData structure-question-bank
Data structure-question-bank
 
CSMR11b.ppt
CSMR11b.pptCSMR11b.ppt
CSMR11b.ppt
 
Similarity-preserving hash for content-based audio retrieval using unsupervis...
Similarity-preserving hash for content-based audio retrieval using unsupervis...Similarity-preserving hash for content-based audio retrieval using unsupervis...
Similarity-preserving hash for content-based audio retrieval using unsupervis...
 
Nov 08 P3
Nov 08 P3Nov 08 P3
Nov 08 P3
 
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...
COMPARISON OF WAVELET NETWORK AND LOGISTIC REGRESSION IN PREDICTING ENTERPRIS...
 
Kliment oggioni ppt_gi2011_env_europe_remote_final
Kliment oggioni ppt_gi2011_env_europe_remote_finalKliment oggioni ppt_gi2011_env_europe_remote_final
Kliment oggioni ppt_gi2011_env_europe_remote_final
 
07 A1 Ec01 C Programming And Data Structures
07 A1 Ec01 C Programming And Data Structures07 A1 Ec01 C Programming And Data Structures
07 A1 Ec01 C Programming And Data Structures
 
BICFinal06
BICFinal06BICFinal06
BICFinal06
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 
Web Information Extraction Learning based on Probabilistic Graphical Models
Web Information Extraction Learning based on Probabilistic Graphical ModelsWeb Information Extraction Learning based on Probabilistic Graphical Models
Web Information Extraction Learning based on Probabilistic Graphical Models
 

Andere mochten auch

Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI Systems
Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI SystemsGlobecom - MENS 2011 - Characterizing Signature Sets for Testing DPI Systems
Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI SystemsStenio Fernandes
 
Elementary education quality improvement programme
Elementary education quality improvement programmeElementary education quality improvement programme
Elementary education quality improvement programmepunarnav bharat
 
Visita papa noel 2012
Visita papa noel 2012Visita papa noel 2012
Visita papa noel 2012begotor
 
Baru drs.ppt nnnnnnnnnnnnnnnnnnnn
Baru drs.ppt nnnnnnnnnnnnnnnnnnnnBaru drs.ppt nnnnnnnnnnnnnnnnnnnn
Baru drs.ppt nnnnnnnnnnnnnnnnnnnnSadrina Ina
 
Proteccion del medio ambiente tochi
Proteccion del medio ambiente tochiProteccion del medio ambiente tochi
Proteccion del medio ambiente tochitochieshermosa
 
2.[6 9]on demand web services with quality of service
2.[6 9]on demand web services with quality of service2.[6 9]on demand web services with quality of service
2.[6 9]on demand web services with quality of serviceAlexander Decker
 
Final Questionnaire
Final QuestionnaireFinal Questionnaire
Final Questionnairebeckyt95
 
Decalogo del investigador ovni
Decalogo del investigador ovniDecalogo del investigador ovni
Decalogo del investigador ovnijohn xlarge
 

Andere mochten auch (10)

Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI Systems
Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI SystemsGlobecom - MENS 2011 - Characterizing Signature Sets for Testing DPI Systems
Globecom - MENS 2011 - Characterizing Signature Sets for Testing DPI Systems
 
Elementary education quality improvement programme
Elementary education quality improvement programmeElementary education quality improvement programme
Elementary education quality improvement programme
 
Visita papa noel 2012
Visita papa noel 2012Visita papa noel 2012
Visita papa noel 2012
 
Baru drs.ppt nnnnnnnnnnnnnnnnnnnn
Baru drs.ppt nnnnnnnnnnnnnnnnnnnnBaru drs.ppt nnnnnnnnnnnnnnnnnnnn
Baru drs.ppt nnnnnnnnnnnnnnnnnnnn
 
Proteccion del medio ambiente tochi
Proteccion del medio ambiente tochiProteccion del medio ambiente tochi
Proteccion del medio ambiente tochi
 
2.[6 9]on demand web services with quality of service
2.[6 9]on demand web services with quality of service2.[6 9]on demand web services with quality of service
2.[6 9]on demand web services with quality of service
 
Final Questionnaire
Final QuestionnaireFinal Questionnaire
Final Questionnaire
 
Decalogo del investigador ovni
Decalogo del investigador ovniDecalogo del investigador ovni
Decalogo del investigador ovni
 
Final ppt
Final pptFinal ppt
Final ppt
 
Library Presentation
Library PresentationLibrary Presentation
Library Presentation
 

Ähnlich wie D A T A B A S E M A N A G E M E N T S Y S T E M S J N T U M O D E L P A P E R{Www

212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Umlguestd436758
 
212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Umlguestac67362
 
05211201 A D V A N C E D D A T A S T R U C T U R E S A N D A L G O R I...
05211201  A D V A N C E D  D A T A  S T R U C T U R E S   A N D   A L G O R I...05211201  A D V A N C E D  D A T A  S T R U C T U R E S   A N D   A L G O R I...
05211201 A D V A N C E D D A T A S T R U C T U R E S A N D A L G O R I...guestd436758
 
05211201 Advanced Data Structures And Algorithms
05211201 Advanced Data Structures  And  Algorithms05211201 Advanced Data Structures  And  Algorithms
05211201 Advanced Data Structures And Algorithmsguestac67362
 
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}Computer Organization Jntu Model Paper{Www.Studentyogi.Com}
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
2009 Punjab Technical University B.C.A Database Management System Question paper
2009 Punjab Technical University B.C.A Database Management System Question paper2009 Punjab Technical University B.C.A Database Management System Question paper
2009 Punjab Technical University B.C.A Database Management System Question paperMonica Sabharwal
 
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
D E C I S I O N S U P P O R T S Y S T E M S J N T U M O D E L P A P E R{Www
D E C I S I O N  S U P P O R T  S Y S T E M S  J N T U  M O D E L  P A P E R{WwwD E C I S I O N  S U P P O R T  S Y S T E M S  J N T U  M O D E L  P A P E R{Www
D E C I S I O N S U P P O R T S Y S T E M S J N T U M O D E L P A P E R{Wwwguest3f9c6b
 
distributeddatabases
distributeddatabasesdistributeddatabases
distributeddatabasesdjkshav
 
Automata And Compiler Design
Automata And Compiler DesignAutomata And Compiler Design
Automata And Compiler Designguestac67362
 
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...guest3f9c6b
 
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}Computer Programming Jntu Model Paper{Www.Studentyogi.Com}
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
C O M P U T E R P R O G R A M M I N G J N T U M O D E L P A P E R{Www
C O M P U T E R  P R O G R A M M I N G  J N T U  M O D E L  P A P E R{WwwC O M P U T E R  P R O G R A M M I N G  J N T U  M O D E L  P A P E R{Www
C O M P U T E R P R O G R A M M I N G J N T U M O D E L P A P E R{Wwwguest3f9c6b
 
0502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set10502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set1guestac67362
 
0502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set10502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set1guestd436758
 

Ähnlich wie D A T A B A S E M A N A G E M E N T S Y S T E M S J N T U M O D E L P A P E R{Www (20)

212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml
 
212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml212101 Object Oriented Analysis Design Through Uml
212101 Object Oriented Analysis Design Through Uml
 
05211201 A D V A N C E D D A T A S T R U C T U R E S A N D A L G O R I...
05211201  A D V A N C E D  D A T A  S T R U C T U R E S   A N D   A L G O R I...05211201  A D V A N C E D  D A T A  S T R U C T U R E S   A N D   A L G O R I...
05211201 A D V A N C E D D A T A S T R U C T U R E S A N D A L G O R I...
 
05211201 Advanced Data Structures And Algorithms
05211201 Advanced Data Structures  And  Algorithms05211201 Advanced Data Structures  And  Algorithms
05211201 Advanced Data Structures And Algorithms
 
Dmdw1
Dmdw1Dmdw1
Dmdw1
 
Ooad q.papers
Ooad q.papersOoad q.papers
Ooad q.papers
 
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}Computer Organization Jntu Model Paper{Www.Studentyogi.Com}
Computer Organization Jntu Model Paper{Www.Studentyogi.Com}
 
2009 Punjab Technical University B.C.A Database Management System Question paper
2009 Punjab Technical University B.C.A Database Management System Question paper2009 Punjab Technical University B.C.A Database Management System Question paper
2009 Punjab Technical University B.C.A Database Management System Question paper
 
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
 
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
Embedded Systems Jntu Model Paper{Www.Studentyogi.Com}
 
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}
Decision Support Systems Jntu Model Paper{Www.Studentyogi.Com}
 
D E C I S I O N S U P P O R T S Y S T E M S J N T U M O D E L P A P E R{Www
D E C I S I O N  S U P P O R T  S Y S T E M S  J N T U  M O D E L  P A P E R{WwwD E C I S I O N  S U P P O R T  S Y S T E M S  J N T U  M O D E L  P A P E R{Www
D E C I S I O N S U P P O R T S Y S T E M S J N T U M O D E L P A P E R{Www
 
distributeddatabases
distributeddatabasesdistributeddatabases
distributeddatabases
 
Automata And Compiler Design
Automata And Compiler DesignAutomata And Compiler Design
Automata And Compiler Design
 
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S  J N T U  M O D E L...
D E S I G N A N D A N A L Y S I S O F A L G O R I T H M S J N T U M O D E L...
 
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}Computer Programming Jntu Model Paper{Www.Studentyogi.Com}
Computer Programming Jntu Model Paper{Www.Studentyogi.Com}
 
C O M P U T E R P R O G R A M M I N G J N T U M O D E L P A P E R{Www
C O M P U T E R  P R O G R A M M I N G  J N T U  M O D E L  P A P E R{WwwC O M P U T E R  P R O G R A M M I N G  J N T U  M O D E L  P A P E R{Www
C O M P U T E R P R O G R A M M I N G J N T U M O D E L P A P E R{Www
 
sad.pdf
sad.pdfsad.pdf
sad.pdf
 
0502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set10502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set1
 
0502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set10502 Object Oriented Programming Through Java Set1
0502 Object Oriented Programming Through Java Set1
 

Mehr von guest3f9c6b

Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}
Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}
Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
English Jntu Model Paper{Www.Studentyogi.Com}
English Jntu Model Paper{Www.Studentyogi.Com}English Jntu Model Paper{Www.Studentyogi.Com}
English Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}Digital Communications Jntu Model Paper{Www.Studentyogi.Com}
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Control Systems Jntu Model Paper{Www.Studentyogi.Com}Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Control Systems Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}Computer Networks Jntu Model Paper{Www.Studentyogi.Com}
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}guest3f9c6b
 

Mehr von guest3f9c6b (20)

Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}
Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}
Mass Transfer Operations I Jntu Model Paper{Www.Studentyogi.Com}
 
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Linear Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
 
English Jntu Model Paper{Www.Studentyogi.Com}
English Jntu Model Paper{Www.Studentyogi.Com}English Jntu Model Paper{Www.Studentyogi.Com}
English Jntu Model Paper{Www.Studentyogi.Com}
 
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry Jntu Model Paper{Www.Studentyogi.Com}
 
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}
Engineering Chemistry 1 Jntu Model Paper{Www.Studentyogi.Com}
 
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}
Emwavesandtransmission Lines Jntu Model Paper{Www.Studentyogi.Com}
 
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}
Electronic Devices And Circuits Jntu Model Paper{Www.Studentyogi.Com}
 
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}
Electromagneticwavesandtransmissionlines Jntu Model Paper{Www.Studentyogi.Com}
 
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}
Electrical Technology Jntu Model Paper{Www.Studentyogi.Com}
 
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}
Electrical Measurements Jntu Model Paper{Www.Studentyogi.Com}
 
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Iii Jntu Model Paper{Www.Studentyogi.Com}
 
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}
Electrical Machines Ii Jntu Model Paper{Www.Studentyogi.Com}
 
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}
Electrical Circuits Analysis Jntu Model Paper{Www.Studentyogi.Com}
 
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
Digital Ic Applications Jntu Model Paper{Www.Studentyogi.Com}
 
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Digital Control Systems Jntu Model Paper{Www.Studentyogi.Com}
 
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}
Designofmachinemembers I Jntu Model Paper{Www.Studentyogi.Com}
 
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}Digital Communications Jntu Model Paper{Www.Studentyogi.Com}
Digital Communications Jntu Model Paper{Www.Studentyogi.Com}
 
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}
Databasemanagementsystems Jntu Model Paper{Www.Studentyogi.Com}
 
Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Control Systems Jntu Model Paper{Www.Studentyogi.Com}Control Systems Jntu Model Paper{Www.Studentyogi.Com}
Control Systems Jntu Model Paper{Www.Studentyogi.Com}
 
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}Computer Networks Jntu Model Paper{Www.Studentyogi.Com}
Computer Networks Jntu Model Paper{Www.Studentyogi.Com}
 

Kürzlich hochgeladen

AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Kürzlich hochgeladen (20)

AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

D A T A B A S E M A N A G E M E N T S Y S T E M S J N T U M O D E L P A P E R{Www

  • 1. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 1 II B.Tech II Semester Supplimentary Examinations, Apr/May 2008 DATA BASE MANAGEMENT SYSTEMS ( Common to Computer Science & Engineering, Information Technology and Computer Science & Systems Engineering) Time: 3 hours Max Marks: 80 Answer any FIVE Questions All Questions carry equal marks 1. (a) Explain the drawbacks of traditional le processing systems with examples. (b) Explain the three levels of data abstraction. [7+9] 2. (a) What is a view? Explain the a views in SQL? (b) Explain nested queries with example in SQL ? [8+8] 3. (a) Which of the three basic le organizations would you cho ose for a le where the most frequent operations are as follows, i. Search for records based on a range of eld values. ii. Perform insert and scans where the order of records does not matter. iii. Search for a record based on a particular eld value. (b) De ne dense index. (c) How does multi level indexing improve the performance of searching an index le. [6+4+6] 4. (a) Explain about pro jection based on sorting. (b) Explain about pro jection based on hashing. [8+8] 5. (a) What is indexing ? Explain with an example. (b) Explain about query processing. [8+8] 6. (a) Explain functional dependencies and multivalued dependencies with examples. (b) Consider the relation R(A,B,C,D,E,F) and FD’s A BC F A C A D EE D is the decomposition of R into 1 (A,C,D), 2 (B,C,D) and 3 (E,F,D) loss less? Explain the requirement of loss less decomposition. [8+8] 7. (a) De ne the concept of a schedule for a set of concurrent transactions. Give a suitable example. (b) Explain how does granularity of locking a ect the performance of concurrency
  • 2. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 1 8. Explain WAL Proto col, UNDO algorithm, Check pointing and Media Recovery? [16]
  • 3. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 2 II B.Tech II Semester Supplimentary Examinations, Apr/May 2008 DATA BASE MANAGEMENT SYSTEMS ( Common to Computer Science & Engineering, Information Technology and Computer Science & Systems Engineering) Time: 3 hours Max Marks: 80 Answer any FIVE Questions All Questions carry equal marks 1. Write short notes on: (a) Key constraints (b) General constraints (c) Relational calculus. [6+5+5] 2. (a) What is a view? Explain the a views in SQL? (b) Explain nested queries with example in SQL ? [8+8] 3. (a) Explain the limitations of static hashing. Explain how this is overcome in dynamic hashing. (b) Write a note on indexed sequential les. [10+6] 4. (a) Consider the following SQL query for a bank database - ¿ -=” Write an e cient relational algebra expression that is equivalent to the query. (b) De ne query optimization and at what point during query processing does optimization o ccur? [8+8] 5. (a) What is indexing ? Explain with an example. (b) Explain about query processing. [8+8] 6. (a) Let R=(A,B,C,D,E) and let M be the following set of multivalued dependencies A- BC B- CD E- AD List the nontrivial dependencies in M+ (b) Describe the properties of normalized and unnormalized relations. [10+6] 7. (a) Explain the concept of transaction atomicity. (b) How does the two phase locking proto col ensures serializability? [6+10] 8. Explain in detail the ARIES recovery method. [16]
  • 4. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 3 II B.Tech II Semester Supplimentary Examinations, Apr/May 2008 DATA BASE MANAGEMENT SYSTEMS ( Common to Computer Science & Engineering, Information Technology and Computer Science & Systems Engineering) Time: 3 hours Max Marks: 80 Answer any FIVE Questions All Questions carry equal marks 1. (a) What is DBMS? Explain the advantages of DBMS. [2+5=7] (b) What is a data model? Explain the relational data model. [3+6=9] 2. (a) Give the various methods of managing data security. (b) Describe the “dynamic SQL”. [8+8] 3. Discuss the di erence between index sequential and hashed le organizations. Com- pare their storage and access e ciencies. List the applications where each of the le organization is suitable. [16] 4. (a) Consider the following SQL query for a bank database - ¿ -=” Write an e cient relational algebra expression that is equivalent to the query. (b) De ne query optimization and at what point during query processing does optimization o ccur? [8+8] 5. Show that the following equivalences hold and explain how they can be applied to improve the e ciency of certain updates. (a) ( 1 2) 3 = 1 ( 2 3) (b) 1 2 = 2 = 2 3 (c) p( 1 - 2) = p(r1) - p( 2) [5+4+7] 6. (a) List the three design goals for relational database and explain why they are desirable. (b) Consider the relation scheme Emp Dept( Ename, SSN, Bdate, Address, Dnum- ber, Dname, DMGRSSN) and the following set of FD’s F={ SSN- Ename,Bdate, Address, Dnumber Dnumber- Dname, DMGRSSN} Calculate the closer {SSN}+ and {Dnumber}+ with respect to F. [6+10] 7. (a) What information does the dirty page table and transaction table contain? (b) Give a short notes on recovery from deadlock. [6+10]
  • 5. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 3 8. Describe the shadow paging recovery technique. Under what circumstances does it not require a log. [16]
  • 6. www.studentyogi.com www.studentyogi.com Code No: RR220502 Set No. 4 II B.Tech II Semester Supplimentary Examinations, Apr/May 2008 DATA BASE MANAGEMENT SYSTEMS ( Common to Computer Science & Engineering, Information Technology and Computer Science & Systems Engineering) Time: 3 hours Max Marks: 80 Answer any FIVE Questions All Questions carry equal marks 1. (a) What is a Data model ? List the important data models [8] (b) Explain i. DDL ii. DML iii. Data sublanguage iv. Host language [2+2+2+2] 2. (a) Discuss the various DDL, DML commands with illustrations in SQL. (b) Why are null values not preferred in a relation? [12+4] 3. Give algorithms for inserting a new key into a B-tree [16] 4. (a) Discuss about cost based optimization. (b) Give a detailed account of heuristic optimization. [8+8] 5. (a) Discuss the reasons for converting SQL queries into relational algebra queries before optimization is done. (b) What is meant by query execution plan? Explain its signi cance. [10+6] 6. (a) Explain the functional dependencies and multi valued dependencies with ex- amples. (b) What is normalization? Discuss the 1NF,2NF, and 3NF Normal forms with examples. [8+8] 7. (a) Explain timestamp ordering with an algorithm. (b) Explain di erent locking Techniques for concurrency control. [8+8] 8. (a) When a system recovers from a crash ? In what order must transaction be Undone and Redone? Why is this order important? (b) What is a log in the content of DBMS? How does check pointing eliminate some of the problems associated with log based recovery? [8+8]