Free Mock Test : DBMS (Database Management System) : file organization (Test 2)

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Free Mock Test - DBMS (Database Management System) : file organization (Test 2)

File organization in Database Management Systems (DBMS) has become a crucial topic for candidates preparing for IT Officer, banking, and computer science examinations across India. With increasing emphasis on data management efficiency and system performance, exam authorities are including more conceptual and application-based questions from this area.
File organization refers to the way data is physically arranged and stored on storage devices. It directly impacts how quickly and efficiently data can be accessed, retrieved, and updated. As organizations handle massive volumes of data, understanding different file organization techniques is essential for aspiring IT professionals.
Experts highlight that the most commonly tested types include sequential file organization, indexed file organization, hashed file organization, and cluster file organization. Among these, cluster file organization has gained particular attention due to its relevance in optimizing database joins by storing related records together.

Total Questions : 15

Timer : sec

Question : In cluster file organization, the cluster key is used to:

Encrypt data

Uniquely identify records in a single table only

Map and group related records from multiple tables

Replace primary keys

Question : Which of the following is a limitation of cluster file organization?

High efficiency in joins

Suitable for 1:M relationships

Poor performance when join condition changes

Faster retrieval for related data

Question : What is the primary difference between indexed cluster and hash cluster?

Indexed cluster uses hashing, hash cluster uses sorting

Indexed cluster uses cluster key ordering, hash cluster uses hash function

Indexed cluster stores data randomly, hash cluster stores sequentially

No difference

Question : Which of the following scenarios is most suitable for using cluster file organization?

When tables are independent

When frequent joins occur on the same key

When data size is extremely large without relationships

When only sequential access is needed

Question : In cluster file organization, why are related tables stored together in the same data block?

To reduce storage space only

To improve join performance by reducing I/O cost

To maintain data redundancy

To simplify indexing only

Question : What happens to deleted records in ISAM?

Immediately removed and memory compacted

Automatically replaced by new records

Marked as deleted and may leave unused space

Shifted to overflow area

Question : Which combination of access methods is supported by ISAM?

Only sequential access

Only direct access

Both sequential and random access

Neither sequential nor random access

Question : Which of the following is a major limitation of ISAM?

Slow sequential access

No support for range queries

Requires reconstruction after insertions

No indexing support

Question : In ISAM, where are newly inserted records stored if there is no space in the primary data file?

Secondary index

Data file

Overflow area

Temporary buffer

Question : Which of the following correctly describes the role of the index in ISAM?

Stores actual data records sequentially

Maps primary keys to memory addresses of records

Replaces the need for sequential storage

Stores duplicate records for faster access

Question : What happens when a leaf node overflows during insertion in a B+ tree?

Tree becomes unbalanced

Node is deleted

Node is split and parent is updated

Entire tree is rebuilt

Question : Which of the following is a limitation of B+ file organization?

Poor search performance

Inefficiency in dynamic operations

Inefficiency for static data

Lack of indexing

Question : Why is searching efficient in B+ file organization?

Records are randomly distributed

Leaf nodes are unbalanced

All records are at the same level and linked sequentially

Internal nodes store full records

Question : Which of the following best describes the role of internal nodes in a B+ tree?

Store complete records

Maintain duplicate data

Act as index nodes with pointers

Store only leaf-level data

Question : In B+ file organization, where are the actual records stored?

Root nodes

Internal nodes

Leaf nodes

All nodes

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