In SQL, the LIKE operator is used for pattern matching with wildcard characters:
% → Matches any sequence of characters (including zero characters).
_ → Matches exactly one character.
Example:
This will return all names starting with ‘A’ (like Amit, Anita, Arun, etc.).
| List I | List II |
|---|---|
| A. Data redundancy | I. Updating the structure of a data file requires modifying all application programs accessing the file |
| B. Data inconsistency | II. Duplication of data at different places (files) |
| C. Data isolation | III. Separation of resource or data modification made by different transactions |
| D. Data dependency | IV. Mismatch of data maintained at different places |
| List I (Concept) | Matched With (List II) | Explanation |
|---|---|---|
| A. Data Redundancy | II. Duplication of data at different places (files) | Data redundancy occurs when the same data is stored in multiple files or locations, leading to unnecessary duplication and wasted storage space. |
| B. Data Inconsistency | IV. Mismatch of data maintained at different places | When data is redundant and one copy is updated but others are not, inconsistencies occur — resulting in mismatched or unreliable data. |
| C. Data Isolation | III. Separation of resource or data modification made by different transactions | In file systems, data is often scattered across different files, making it difficult to access or modify related information simultaneously. This problem is known as data isolation. |
| D. Data Dependency | I. Updating the structure of a data file requires modification in all application programs accessing the file | Data dependency means that the data structure and application programs are tightly coupled. Any change in file structure requires modification in all programs that use it. |
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Online Test Series,
Information About Examination,
Syllabus, Notification
and More.