Wednesday, October 28, 2009


PART A — (10 * 2 = 20 marks)

1. Define Data Base Management System.

2. Name the different types of attributes that occur in the ER model.

3. What is the difference between a key and a superkey?

4. Explain functional dependency.

5. Mention the advantages of Distributed DBMS.

6. What is a fully inverted file and indexed sequential file?

7. What is a set type? How are the set instances of a set type identified?

8. What is an occurrence tree of a hierarchy?

9. Define Object oriented database.

10. Mention some applications of data mining.

PART B — (5 * 16 = 80 marks)

11. (i) List the operations of the relational algebra and explain with suitable examples.


(ii) Discuss the various types of constraints that can be specified on a relational data base

schema. (6)

12. (a) (i) Draw the three schema architecture of data base systems and explain in detail.


(ii) Compare logical data independence and physical data independence. (6)


(b) (i) Explain nested queries with suitable examples. (9)

(ii) Discuss the substring comparisons, arithmetic operators and ordering features of SQL.


13. (a) Discuss the process of normalization used in designing a data base system. Explain

the various normal forms for relation schemas.


(b) Discuss the following two types of hashing techniques that allow dynamic file

expansion :(i) Dynamic hashing. (8)

(ii) Extendible hashing. (8)

14. (a) What are the different types of ordered indexes for the files? Explain any two

types in detail giving the block diagrams that explain the indexing structure.


(b) (i) Using an example data base schema, explain the data definition in the network

model. (10)

(ii) How a conceptual data base design specified as an ER schema can be mapped to a

network schema? (6)

15. (a) Explain the following with respect to a Hierarchical data base model :

(i) Data base structure

(ii) Virtual Parent–child relationships

(iii) Integrity constraints

(iv) Data Definition Language. (4 * 4 = 16)


(b) Write detailed note on the following :

(i) Data warehousing and data mining. (8)

(ii) Temporal data bases and multimedia data bases. (8)

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