EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials MySQL Tutorial RDBMS Interview Questions
Secondary Sidebar
MySQL Tutorial
  • Database
    • What is Data Modeling
    • What is Data Processing
    • DBMS Architecture
    • DBMS Keys
    • Careers in Database Administration
    • What is MySQL Database
    • MySQL Relational Database
    • How to Connect Database to MySQL
    • MySQL Database Repair
    • RDBMS Interview Questions
    • DBMS Interview Questions
  • Basic
    • MySQL floor
    • MySQL DESCRIBE table
    • MySQL encryption
    • Introduction to MySQL
    • Is SQL Server a Database?
    • What is MySQL
    • Is MySQL Programming Language
    • MySQL Server
    • MySQL AB
    • MySQL Community Server
    • How To Install MySQL
    • MySQL Versions
    • MySQL OpenSource
    • MySQL GUI Tools
    • MySQL Grant
    • MySQL Error 1064
    • MySQL Drop Database
    • MySQL not equal
    • MySQL SELECT INTO Variable
    • MySQL Commands
    • MySQL Operators
    • What is MySQL Schema
    • Wildcards in MySQL
    • MySQL Constraints
    • MySQL Administration
    • MySQL Data Type
    • MYSQL COMMIT
    • MySQL FORMAT
    • Timestamp to Date in MySQL
    • MySQL DATEDIFF
    • MySQL?Incremental Backup
    • MySQL JSON Data Type
    • MySQL ENUM
    • MySQL Default Port
    • Cheat Sheet MySQL
  • Queries
    • MySQL Queries
    • MySQL Query Commands
    • SELECT in MySQL
    • MySQL INSERT IGNORE
    • MySQL having
    • ORDER BY in MySQL
    • MySQL Cheat Sheet
    • MySQL ORDER BY Random
    • MySQL ORDER BY DESC
    • MySQL GROUP BY
    • MySQL GROUP BY Count
    • MySQL GROUP BY month
    • MySQL WHERE Clause
    • MySQL WITH
    • MySQL FETCH
    • MySQL DDL
    • MySQL DML
    • MySQL WHERE IN Array
    • MySQL Fetch Array
    • MySQL ISNULL
    • MySQL Index Types
    • Mysql? Export Schema
    • Amazon RDS for MySQL
    • MySQL greatest
  • Functions
    • MySQL Function
    • MySQL Aggregate Function
    • MySQL String functions
    • MySQL Date Functions
    • MySQL Window Functions
    • MySQL Math Functions
    • MySQL Boolean
    • Cursor in MySQL
    • Condition in MySQL
    • MySQL BETWEEN
    • Insert in MySQL
    • MySQL IFNULL()
    • MySQL TIMESTAMPDIFF()
    • MySQL COALESCE()
    • MySQL count()
    • MIN() in MySQL
    • MySQL Numeric
    • MySQL field()
    • MySQL FIND_IN_SET()
    • MySQL avg()
    • MySQL MAX() Function
    • MySQL BIN()
    • MySQL Concat
    • MySQL DECODE()
    • MySQL REGEXP_REPLACE()
    • MySQL Asynchronous
    • MySQL innodb_buffer_pool_size
    • MySQL key_buffer_size
    • MySQL TRUNCATE()
    • MySQL ROW_NUMBER()
    • NOT in MySQL
    • MySQL IN Operator
    • LIKE in MySQL
    • ANY in MySQL
    • MySQL NOT IN
    • MySQL CHECK Constraint
    • MySQL DISTINCT
    • MySQL ALL
    • MySQL Union
    • MySQL UNION ALL
    • MySQL EXISTS
    • MySQL ON DELETE CASCADE
    • MySQL REGEXP
    • MySQL Index
    • MySQL Add Index
    • MySQL REINDEX
    • MySQL UNIQUE INDEX
    • MySQL Clustered Index
    • MySQL? InnoDB Cluster
    • Table in MySQL
    • ALTER TABLE MySQL
    • MySQL Temporary Table
    • MySQL Clone Table
    • MySQL Repair Table
    • MySQL Lock Table
    • MySQL Optimize Table
    • TRUNCATE TABLE MySQL
    • MySQL Table Dump
    • MySQL Update Set
    • MySQL ALTER TABLE Add Column
    • MySQL RANK()
    • MySQL CTE
    • MySQL LAG()
    • MySQL GROUP_CONCAT()
    • MySQL EXTRACT()
    • MySQL REPLACE
    • MySQL AUTO_INCREMENT
    • MySQL SYSDATE()
    • MySQL NULLIF()
    • MySQL Substring
    • MySQL SUBSTRING_INDEX()
    • MySQL LOWERCASE
    • MySQL Row
    • MySQL NOW
    • MySQL CEIL
    • MySQL Alias
    • MySQL Trigger
    • MySQL SHOW Triggers
    • MySQL UPDATE Trigger
    • MySQL DELETE Trigger
    • MySQL AFTER UPDATE Trigger
    • MySQL Stored Procedure
    • ROLLUP in MySQL
    • MySQL? INSTR()
    • MySQL Subquery
    • MySQL Timestamp
    • MySQL? Hour()
    • MySQL MOD()
    • MySQL DATE_FORMAT()
    • ALTER Column in MySQL
    • MySQL Rename Column
    • MySQL Interval
    • MySQL CURDATE
    • MySQL BIT
    • MySQL Binlog
    • MySQL Average
    • MySQL TEXT
    • MySQL SHOW
    • MySQL Offset
    • MySQL Timezone
    • mysql_real_escape_string
    • MySQL Datetime
    • MySQL DATE_SUB()
    • MySQL FULLTEXT
    • MySQL DATE_ADD()
    • MySQL sum()
    • MySQL Merge
    • MySQL BigInt
    • MySQL ROUND
    • MySQL VARCHAR
    • MySQL Decimal
    • MySQL Limit
    • MySQL today()
    • MySQL WEEKDAY
    • MySQL Split
    • MySQL Create Function
    • MySQL BLOB
    • MySQL encode()
    • MySQL Primary Key
    • MySQL Foreign Key
    • Unique Key in MySQL
    • MySQL Drop Foreign Key
    • MySQL DROP TRIGGER
    • MYSQL Database
    • Delete Database MySQL
    • MySQL Root
    • MySQL Root Password
    • MySQL Client
    • MySQL Users
    • MySQL?User Permissions
    • MySQL add user
    • MySQL List User
    • MySQL Show Users
    • MySQL User Password
    • MySQL?Cardinality
    • MySQL Workbench
    • MySQL Backup
    • MySQL REVOKE
    • MySQL Dump
    • MySQL Cluster
    • MySQL Partitioning
    • MySQL Full Text Search
    • MySQL Admin Tool
    • MySQL Export Database
    • MySQL Export to CSV
  • Joins
    • Joins in MySQL
    • MySQL Outer Join
    • Left Outer Join in MySQL
    • MySQL Self Join
    • Natural Join in MySQL
    • MySQL DELETE JOIN
    • MySQL Update Join
    • MySQL Cross Join
  • Advanced
    • MySQL Formatter
    • MySQL TINYINT
    • MySQL Grant All Privileges
    • MySQL DROP TABLE
    • MySQL rename database
    • MySQL Flush Privileges
    • MySQL super Privilege
    • MySQL Character Set
    • MySQL Log File
    • MySQL Flush Log
    • Grant Privileges MySQL
    • MySQL WHILE LOOP
    • IF Statement in MySQL
    • MySQL CASE Statement
    • MySQL IF Function
    • MySQL IF EXISTS
    • MySQL UUID
    • Views in MySQL
    • MySQL Replication
    • MySQL Partition
    • Toad for MySQL
    • Navicat for MySQL
    • MySQL AES_Encrypt
    • MySQL Performance Tuning
    • MySQL Transaction
    • MySQL? sort_buffer_size
    • MySQL? Sync
    • MySQL? Query Cache
    • MySQL Collation
    • MySQL ODBC Driver
    • MySQL Partitioning
    • MySQL InnoDB
    • MySQL Float vs Decimal
    • MySQL Union vs Union All
  • Interview Questions
    • MySQL Interview Questions

Related Courses

MS SQL Certification Courses

Oracle Certification Courses

PL/SQL Certification Courses

RDBMS Interview Questions

By Priya PedamkarPriya Pedamkar

RDBMS Interview Questions

Introduction to RDBMS Interview Questions And Answer

So if you are preparing for a job interview in RDBMS. I am sure you want to know the most common 2023 RDBMS Interview Questions and answers that will help you crack the RDBMS Interview with ease. Below is the list of top RDBMS Interview Questions and answers at your rescue.

Hence, we tend to add top 2023 RDBMS Interview Questions that are asked mostly in an interview

1. What are the different features of an RDBMS?

Answer:
Name. Every relation in a relational database should have a name which is unique among all other relations.
Attributes. Each column in a relation is called an attribute.
Tuples. Each and every row in a relation is called a tuple. A tuple defines a collection of attribute values.

Courses

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

2. Explain the E-R Model?

Answer:
E-R model is an Entity-Relationship model. E-R model is based on a real-world which is made up of entities and related objects. Entities are illustrated in a database by a set of attributes.

3. Define the object-oriented model?

Answer:
The object-oriented model is based on collections of objects. An object accommodates values which are stored in instance variables inside the object. Objects having an identical type of values and the exact same methods are grouped together into classes.

4. Explain three levels of data abstraction?

Answer:
1.Physical level: This is the lowest level of abstraction and it describes how data is stored.
2.Logical level: The next level of abstraction is logical, it describes what type of data is stored in a database and what is the relationship between these data.
3.View level: The highest level of abstraction and it describes the only entire database.

Three levels of Data Abstractionhttps://www.w3schools.in/dbms/data-schemas/

5. What are different Codd’s 12 rules for Relational Database?

Answer:
Codd’s 12 rules are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd.
Codd’s rules: –
Rule 0: The system has to qualify as Relational, as a Database, and also as a Management System.
Rule 1: The information rule: Each and every information in the database is to be represented uniquely, mainly name values in column positions within a different row of a table.
Rule 2: The guaranteed access rule: All data must be ingressive. It says that every scalar value in the database must be correctly/logically addressable.
Rule 3: Systematic treatment of null values: The DBMS must allow each tuple to remain null.
Rule 4: Active online catalog (database’s structure) based on the relational model: The system must support an online, relational etc. structure which is ingressive to allowed users by means of their regular query.
Rule 5: The comprehensive data sublanguage: The system has to assist a minimum of one relational language that:
1.Has a linear syntax
2.Which can be used as both interactively and within application programs,
3.It supports data definition operations(DDL), data manipulation operations(DML), security and integrity constraints, and transaction management operations (begin, commit, and rollback).
Rule 6: The view updating rule: All views that theoretically improve must be upgradable by the system.
Rule 7: High-level insert, update, and delete: The system must support insert, update, and delete operators.
Rule 8: Physical data independence: Modify the physical level (how the data is stored, using arrays or linked lists etc.) must not require a modification to an application.
Rule 9: Logical data independence: Modify the logical level (tables, columns, rows etc.) must not require a modification to an application.
Rule 10: Integrity independence: Integrity constraints must be identified individually from application programs and stored in the catalog.
Rule 11: Distribution independence: The distribution of portions of a database to different locations should not be visible to users of the database.
Rule 12: The nonsubversion rule: If the system provides a low-level (i.e. records) interface, then that interface can’t be used to subvert the system.

6. What is normalization? and what explains different normalization forms?

Answer:
Database normalization is a process of organizing data to minimize data redundancy. Which in turn ensures data consistency. There are many problems associated with data redundancy such as disk space wastage, data inconsistency, DML (Data Manipulation Language) queries become slow. There are different normalisation forms: – 1NF, 2NF, 3NF, BCNF, 4NF,5NF, ONF, DKNF.
1.1NF: – The data in each column should be atomic number multiple values separated by a comma. The table does not contain any repeating column groups. Identity each record uniquely using the primary key.
2.2NF: – The table should match all the conditions of 1NF and move redundant data to a separate table. Moreover, it creates a relationship between these tables using foreign keys.
3.3NF: – for a 3NF table should fulfill all the conditions of 1NF and 2NF. 3NF doesn’t contain attributes which are partially dependent upon primary key.

7. Define primary key, foreign key, candidate key, super key?

Answer:
Primary key: The primary key is the key that doesn’t allow duplicate values and null values. A primary key can be defined at column level or table level. Only one primary key per table is allowed.
Foreign key: foreign key allows the values present in the referenced column only. It allows duplicate or null values. It can be defined as a column level or table level. It can reference a column of a unique/primary key.
Candidate Key: A Candidate key is minimum super key, there is no proper subgroup of Candidate key attributes can be a super key.
Super Key: A superkey is a set of attributes of a relation schema on which all attributes of the schema are partially dependent. No two rows can have the same value of super key attributes.

8. What is a different type of indexes?

Answer:
Indexes are: –
Clustered index: – It is the index at which data is physically stored in the disk. Therefore, only one clustered index can be created to a database table.
Non-clustered index: – It does not define physical data but it defines a logical ordering. Typically, B-Tree or B+ trees are created for this purpose.

9. What are the advantages of RDBMS?

Answer:
•Controlling Redundancy.
•Integrity can be enforced.
•Inconsistency can be avoided.
•Data can be shared.
•Standard can be enforced.

10. Name some subsystems of RDBMS?

Answer:
Input-output, Security, Language Processing, Storage Management, Logging and Recovery, Distribution Control, Transaction Control, Memory Management.

11. What is Buffer Manager?

Answer:
Buffer Manager manages to collect data from disk storage to the main memory and deciding what data to be in cache memory for faster processing.

Recommended Article

This has been a guide to List Of RDBMS Interview Questions. Here we have listed the most useful 10 interview sets of questions so that the jobseeker can crack the interview with ease. You may also look at the following articles to learn more –

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,527 ratings)
  1. Most Important Data Analytics Interview Questions
  2. 13 Amazing Database Testing Interview Questions
  3. Top 10 Design Pattern Interview Questions
  4. 5 Useful SSIS Interview Questions And Answer
Popular Course in this category
SQL Training Program (7 Courses, 8+ Projects)
  7 Online Courses |  8 Hands-on Projects |  73+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

MS SQL Training (16 Courses, 11+ Projects)4.9
Oracle Training (14 Courses, 8+ Projects)4.8
PL SQL Training (4 Courses, 2+ Projects)4.7
3 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more