database concepts mcq,database management system mcq,database management system mcq questions,database management system important mcq,database system mcqs,database concepts mcq questions,database concepts class 12 mcq,database concepts mcq questions and answers,database concepts mcq with answers,database concepts mcq pdf,database concepts mcq with answers pdf
1. What is the main purpose of a database management system (DBMS)?
2. In manual record-keeping, which of the following is a major disadvantage?
3. Which component of a database is used to store records about events such as student attendance?
4. What does ‘data redundancy’ mean?
5. Which of the following is NOT a limitation of the file system?
6. Which attribute connects STUDENT and GUARDIAN tables in DBMS?
7. Which of these is a benefit of DBMS over a file system?
8. What type of value is considered ‘atomic’?
9. Which of these is a data constraint?
10. A schema defines:
11. What is meta-data in a database system?
12. Which one is NOT a component of a relational database model?
13. Which operation is not considered part of data manipulation?
14. What does the term ‘database instance’ refer to?
15. Which of the following statements is true for relational databases?
16. Which key refers to a primary key from another table?
17. GUID in the GUARDIAN table is an example of:
18. Which of the following is NOT stored in the meta-data (catalog)?
19. A tuple is:
20. In a relation, the number of columns is known as:
21. What does the term ‘cardinality’ refer to in databases?
22. What type of primary key does the ATTENDANCE table use?
23. Which combination is used as a composite primary key in ATTENDANCE?
24. A primary key must be:
25. A student record showing multiple preferences in one field violates:
26. What happens if a file’s structure is changed in a file system?
27. The ability to limit access to data in DBMS is called:
28. Which DBMS feature allows data changes over time?
29. In a well-designed relational database, redundancy is minimized by:
30. What is the purpose of a query in DBMS?
31. A database engine is:
32. In relational databases, what does the term “degree” refer to?
33. NULL is used to represent:
34. The domain of an attribute defines:
35. Which of the following fields is NOT typically stored in a business-oriented database?
36. A set of fields that uniquely identifies a row is called a:
37. In a relational database, a foreign key is used to:
38. Which of the following is considered a data manipulation operation?
39. Which of the following is NOT a data manipulation operation?
40. What is the function of the NOT NULL constraint in a database?
41. Which of the following supports logical organization of data?
42. Which DBMS type is listed in the textbook as open-source?
43. Which technique is used in DBMS to avoid data inconsistency?
44. Relationships between tables in a DBMS are created using:
45. Redundant data can lead to:
46. Which rule applies to attributes in a relational table?
47. To uniquely identify each student’s attendance on a particular day, DBMS uses:
48. Which of the following lets you specify rules on a column?
49. A student record (row) in the STUDENT table is an example of:
50. Which feature ensures correctness and reliability of database content?
51. Assertion (A): A database schema defines the structure of a database. Reason (R): Schema stores actual data records.
52. Assertion (A): In a relational database, each attribute must have a unique name. Reason (R): Unique attribute names help avoid ambiguity during data manipulation.
53. Assertion (A): A primary key must be unique and NOT NULL. Reason (R): A primary key is used to link data between unrelated databases.
54. Assertion (A): A foreign key is an attribute that helps relate two tables. Reason (R): A foreign key always references the primary key of another table.
55. Assertion (A): A composite primary key is made using more than one attribute. Reason (R): Composite keys are used when no single attribute can uniquely identify records.
56. Assertion (A): File systems provide strong data consistency across multiple files. Reason (R): File systems automatically update redundant data when a change is made.
57. Assertion (A): Constraints in DBMS ensure data integrity. Reason (R): Constraints allow only valid data to be stored in the database.
58. Assertion (A): A field storing multiple values in one cell improves query speed. Reason (R): Relational databases allow non-atomic values for flexibility.
59. Assertion (A): The domain of an attribute defines the allowed values for that attribute. Reason (R): Domain helps ensure that data stored in a column is valid.
60. Assertion (A): All candidate keys are automatically selected as primary keys. Reason (R): Candidate keys are eligible to become primary keys.
61. Assertion (A): Metadata contains information about database structure. Reason (R): Metadata helps the DBMS validate queries and enforce constraints.
62. Assertion (A): Cardinality of a relation refers to the number of columns in the table. Reason (R): Columns represent the attributes of a relation.
63. Assertion (A): Normalization removes data redundancy. Reason (R): Redundant data may lead to data inconsistency.
64. Assertion (A): The NOT NULL constraint prevents NULL entries in a column. Reason (R): It ensures that every row has a value in that column.
65. Assertion (A): DBMS allows multiple users to interact with the same data concurrently. Reason (R): DBMS uses controlled data sharing and access permissions.
66. Assertion (A): The structure of a table can be modified using data manipulation queries. Reason (R): Commands like ALTER and CREATE are part of data manipulation language.
67. Assertion (A): DBMS helps reduce data inconsistency by storing data in one central location. Reason (R): Centralized control and constraints ensure that all data updates remain consistent.
68. Assertion (A): A database instance can change over time. Reason (R): An instance represents the current snapshot of the data.
69. Assertion (A): SQL allows users to retrieve, insert, and update data. Reason (R): SQL is the standard language for managing relational databases.
70. Assertion (A): Degree of a relation is defined by the number of attributes it contains. Reason (R): Attributes define the structure of each record in a relation.

No comments: