These Introduction to Database multiple-choice questions and their answers will help you strengthen your grip on the subject of Introduction to Database. You can prepare for an upcoming exam or job interview with these Introduction to Database MCQs.
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A. ALTER
B. UPDATE
C. False
D. Select
A. Cartesian
B. Aggregate
C. Cathode
D. Exponential
A. Ad hoc query
B. Ad hoc response
C. Query result set
D. Integrated view of the data
A. Select
B. Delete
C. Parent
D. UPDATE
A. Its date of creation
B. Its expected use
C. The title
D. The data processing specialist
A. Section
B. OPEN
C. DECLARE
D. BEGIN
A. Downstream speed
B. Uploaded
C. Upstream speed
D. Network class
A. Relationally, hierarchically
B. Hierarchically, relationally
C. Physically, logically
D. Logically, physically
A. INCREMENT BY
B. NOT NULL
C. NEXTVAL
D. COUNT
A. Distributed
B. Dictionary
C. Attribute
D. Relational
A. Strategy-orientated analysis
B. Market basket analysis
C. Simulated analysis
D. Virtual storage analysis
A. Condensed
B. Physical
C. Logical
D. Conceptual
A. Data mining
B. Business intelligence
C. Data warehouse
D. Database
A. QBE, query by example
B. Business intelligence
C. The names of the data items
D. Tables and fields
A. It is hard to implement and manage
B. It is difficult to find information in files
C. File can't be expanded unless there is empty space available immediately following it
D. It is an inefficient use of space
A. To make it easy to create graphs
B. To keep track of lists of data with multiple themes
C. To store a list of data involving a single topic or theme
D. To apply formulas to data representing mathematical relationships
E. Avoid having to learn about spreadsheets
A. Relational database management system (RDBMS)
B. Data dictionary
C. Report
D. Record
A. DROP INDEX
B. DROP VIEW
C. SYSTABLES
D. SYSCOLUMNS
A. Example *
B. JavaScript *
C. Related *
D. Warehouse
A. Collection of files
B. Many to many
C. Object-oriented
D. Anomalies
A. =
B. 1:1
C. 1:M
D. Logically, physically
A. Foreign key
B. Primary key
C. Column
D. Data definition language
E. Null value
A. Data is duplicated
B. Metadata
C. A single theme
D. Autocorrect data
A. (1,1)
B. M:N
C. False
D. Rectangle
A. Spreadsheet
B. Attribute
C. A data model
D. Relationship
A. File system data model
B. 1980s
C. 1970s
D. Entity relationship
A. Analyst
B. Administrator
C. Programmer
D. User
A. Implementation
B. Constraint
C. Analysis
D. User view
A. SELECT
B. WHERE
C. GROUP BY
D. CONDITION
E. All of the above
A. Apps
B. 2 GB.
C. Right-click
D. A browser
A. Datasheet
B. View
C. Save Object As
D. Save as
A. Common field
B. Tag
C. Hyperlink
D. Bookmark
A. Parent
B. Parentheses
C. DROP INDEX
D. False
A. Attribute.
B. Record.
C. Form.
D. Bot.
E. Query
A. ​parent
B. Super
C. Sibling
D. Child
A. Trapdoors
B. Routines
C. Selects
D. Updates
A. Folder of different objects
B. List of data
C. Spreadsheet file
D. Set of document tabs
E. Long word-processing document
A. ORDER BY
B. ORDER
C. SET ORDER
D. LIST BY
A. Object-oriented
B. External
C. Entity relationship
D. Segment
A. The Systems Development Life Cycle
B. Data mining
C. E-R Modeling
D. SQL
A. Analysis
B. Detailed systems design
C. Implementation
A. ​RETRIEVE
B. UPDATE
C. READ
D. SELECT
A. Integrity
B. Primary key
C. Redundancy
D. Data mining
A. AUTO_INCREMENT
B. Foreign keys
C. ALTER TABLE
D. Foreign key
A. Accessors
B. Mutators
C. Constructors
D. Destructor
A. ADD
B. Primary
C. True
D. False
A. CHANGE
B. USE
C. SWITCH
D. SELECT
A. True
B. Join
C. Sort
D. Print
A. Locking keys.
B. Value keys.
C. Entity keys.
D. Normalized keys.
E. Foreign keys
A. Clicking the New record, CTRL + Plus Sign, Click new button
B. Filter records, Changing the appearance of data sheet, adding new records, Changing the data
C. Required
D. Required field, Default Value, Range of Values
A. Constructed
B. Composite
C. Collective
D. Parallel
A. Main sub
B. Startup form
C. Event procedure
D. Form load event
A. Question mark.
B. Colon.
C. Period.
D. Semicolon
A. 0 or 1
B. Create a new ID-dependent entity with a 1:N relationship
C. Recursive relationship
D. Association table will have additional columns
A. Include both numbers and letters in the name
B. Use only uppercase characters
C. Describe the content or purpose of the field
D. Use only lowercase letters and no spaces
A. Select the table(s) you want to get criteria from
B. File compression
C. Connect the data in tables
D. Select the text
A. Consider more important issues such as performance before normalizing,
B. Create table structures then normalize the database,
C. Make sure entities are in normal form before table structures are created,
D. Only normalize the database when performance problems occur
A. Commone field
B. .accdb
C. True
D. What questions should this database be able to answer
A. Simple
B. Complex
C. Detailed
D. Complete
A. SQL
B. IDE
C. QBE
D. Interpolated
A. BETWEEN
B. NULL
C. LIKE
D. IN.
A. Data dictionary.
B. Transaction database.
C. System database.
D. Master data table
A. Database
B. Entry bar
C. Relational
D. Purpose, meaningful title
A. Use the SQL-92 RENAME TABLE command
B. Use the SQL-92 ALTER TABLENAME command
C. Use the SQL-92 MODIFY TABLENAME command
D. Create a new table, move the data and drop the old table
A. CREATE INDEX...ON
B. DROP SEQUENCE
C. INCREMENT BY
D. CREATE SEQUENCE
A. Relational
B. Network
C. Object-oriented
D. Entity relationship
A. True
B. USING
C. DML operations cannot be performed on a non key-preserved table.
D. Selection
A. Using generally accepted information
B. Providing background information
C. Giving context for an argument
D. Needing hard facts Please select the best answer from the choices provided
A. Data integrity
B. Unstructured
C. Application
D. Information
A. Period
B. Entity
C. Nonkey
D. Order
A. Nonprocedural
B. Data operation
C. Data declaration
D. Static, dynamic
E. Unresolved references
A. Data warehouse
B. Database management system
C. Database
D. Management system
A. Lookup
B. Foreign
C. Candidate
D. Secondary
A. Manipulation
B. Manufacturing
C. Schema
D. Dynamic
A. Select one:
B. Flat file
C. Schema
D. Relational system
E. User view
A. Output design
B. Market basket design
C. Table design
D. Diagram design
A. Data aggregator.
B. Query model.
C. Data model
A. Correlated subquery.
B. Derived table.
C. View table.
D. None of these
A. Constructor function
B. Destructor function
C. Static function
D. Virtual function
A. Primary key
B. Sort key
C. Datatype
D. Keyvalue
A. High query activity
B. High update volumes
C. Highly normalized
D. Low aggregation level
A. Summarized data
B. Hundreds of gigabytes
C. High normalization
D. Historic data
A. Data redundancy
B. Data integrity
C. Flexible use of data
D. Information sharing
A. There are multiple administrators
B. Data are duplicated
C. The database is very large
D. There are complex relationship
A. Fields
B. Files
C. Tables
A. Flat file
B. Choice
C. Files
D. Bit
A. Lists of data involve a single theme
B. Structures of data lists are simple
C. Lists involve data with multiple themes
D. Users do not want to store all data in one place
A. Groups
B. Classes
C. Attributes
D. Clusters
A. Single-user
B. Workgroup
C. Multiuser
D. Distributed
A. Key Field
B. Qualities
C. Metadata
D. Fields
E. Records
A. First normal form
B. Second normal form
C. Third normal form
D. Boyce-Codd normal form
A. Query
B. Primary
C. Database
D. Landscape
A. Foreign key
B. Attribute
C. Primary key
D. Record
A. Integrated
B. A key field
C. Data dictionary
D. Big Data
A. Eliminate the need to check for data consistency
B. Need to be pre-installed on the users' computers
C. Run within a corporate network that is protected from the Internet
D. Are more vulnerable to security threats than are traditional applications
A. Purpose
B. Structure
C. Data
D. Value
A. Minimum
B. Maximum
C. Both of these
D. None of these
A. Relations
B. Logic
C. Chaos
D. Redundancy
A. Flexibility.
B. Redundancy.
C. Mapping.
D. Centralization
A. Backup
B. Hyperdata
C. Metadata
D. Rollback