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DBMS Interview Questions and Answers

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Related differences

RDBMS vs Hadoop

Ques 1. What is database or database management systems (DBMS)?

Database provides a systematic and organized way of storing, managing and retrieving from
collection of logically related information.
Secondly the information has to be persistent, that means even after the application is closed
the information should be persisted.
Finally it should provide an independent way of accessing data and should not be dependent on the application to access the information.

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Ques 2. What's the difference between file and database? Can files qualify as a database?

Main difference between a simple file and database that database has independent way (SQL) of accessing information while simple files do not File meets the storing, managing and retrieving part of a database but not the independent way of accessing data. Many experienced programmers think that the main difference is that file can not provide multi-user capabilities which a DBMS provides. But if we look at some old COBOL and C programs where file where the only means of storing data, we can see functionalities like locking, multi-user etc provided very efficiently. So it’s a matter of debate if some interviewers think this as a main difference between files and database accept it… going in to debate is probably loosing a job.

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Ques 3. What is SQL?

SQL stands for Structured Query Language.SQL is an ANSI (American National Standards
Institute) standard computer language for accessing and manipulating database systems. SQL
statements are used to retrieve and update data in a database.

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Ques 4. What’s difference between DBMS and RDBMS?

DBMS provides a systematic and organized way of storing, managing and retrieving from
collection of logically related information. RDBMS also provides what DBMS provides but above that it provides relationship integrity. So in short we can say
These relations are defined by using “Foreign Keys” in any RDBMS.Many DBMS companies claimed there DBMS product was a RDBMS compliant, but according to industry rules and regulations if the DBMS fulfills the twelve CODD rules it’s truly a RDBMS. Almost all DBMS (SQL SERVER, ORACLE etc) fulfills all the twelve CODD rules and are considered as truly RDBMS.

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Ques 5. What are CODD rules in DBMS?

In 1969 Dr. E. F. Codd laid down some 12 rules which a DBMS should adhere in order to get the logo of a true RDBMS.
Rule 1: Information Rule.
"All information in a relational data base is represented explicitly at the logical level and in
exactly one way - by values in tables."
Rule 2: Guaranteed access Rule.
"Each and every datum (atomic value) in a relational data base is guaranteed to be logically
accessible by resorting to a combination of table name, primary key value and column name."
In flat files we have to parse and know exact location of field values. But if a DBMS is truly
RDBMS you can access the value by specifying the table name, field name, for instance
Customers.Fields [‘Customer Name’].
Rule 3: Systematic treatment of null values.
"Null values (distinct from the empty character string or a string of blank characters and distinct from zero or any other number) are supported in fully relational DBMS for representing missing information and inapplicable information in a systematic way, independent of data type.". 
Rule 4: Dynamic on-line catalog based on the relational model.
"The data base description is represented at the logical level in the same way as ordinary data, so that authorized users can apply the same relational language to its interrogation as they apply to the regular data."The Data Dictionary is held within the RDBMS, thus there is no-need for off-line volumes to tell you the structure of the database.
Rule 5: Comprehensive data sub-language Rule.
"A relational system may support several languages and various modes of terminal use (for
example, the fill-in-the-blanks mode). However, there must be at least one language whose
statements are expressible, per some well-defined syntax, as character strings and that is
comprehensive in supporting all the following items.
Data Definition 
View Definition 
Data Manipulation (Interactive and by program). 
Integrity Constraints 
Transaction boundaries ( Begin , commit and rollback)
Rule 6: .View updating Rule
"All views that are theoretically updatable are also updatable by the system."
Rule 7: High-level insert, update and delete.
"The capability of handling a base relation or a derived relation as a single operand applies not only to the retrieval of data but also to the insertion, update and deletion of data."
Rule 8: Physical data independence.
"Application programs and terminal activities remain logically unimpaired whenever any changes are made in either storage representations or access methods."
Rule 9: Logical Data Independence
"Application programs and terminal activities remain logically unimpaired when informatino-preserving changes of any kind that theoritically permit un-impairement are made to the base-tables."
Rule 10: Integrity independence.
"Integrity constraints specific to a particular relational data base must be definable in the
relational data sub-language and storable in the catalog, not in the application programs."
Rule 11: Distribution independence.
"A relational DBMS has distribution independence."
Rule 12: Non-subversion Rule.
"If a relational system has a low-level (single-record-at-a-time) language, that low level cannot be used to subvert or bypass the integrity Rules and constraints expressed in the higher level relational language (multiple-records-at-a-time)."

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