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240+ Data Mining and Business Intelligence Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Computer Science Engineering (CSE) , Information Technology Engineering (IT) .

1.

__________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management decisions.

A. Data Mining
B. Data Warehousing
C. Web Mining
D. Text Mining
Answer» B. Data Warehousing
2.

The data Warehouse is __________.

A. Read only
B. Write only
C. Read write only
D. None
Answer» A. Read only
3.

Expansion for DSS in DW is _________.

A. Decision Support system
B. Decision Single System
C. Data Storable System
D. Data Support System
Answer» A. Decision Support system
4.

The important aspect of the data warehouse environment is that data found within the data warehouse is__________.

A. subject-oriented
B. time-variant
C. integrate
D. D All of the above
Answer» D. D All of the above
5.

The time horizon in Data warehouse is usually__________.

A. 1-2 years
B. 3-4years
C. 5-6 years
D. 5-10 years
Answer» D. 5-10 years
6.

The data is stored, retrieved & updated in___________.

A. OLAP
B. OLTP
C. SMTP
D. FTP
Answer» B. OLTP
7.

__________describes the data contained in the data warehouse.

A. Relational data
B. Operational data
C. Metadata
D. Informational data
Answer» C. Metadata
8.

__________predicts future trends & behaviors, allowing business managers to make proactive, knowledge-driven decisions.

A. Data warehouse
B. Data mining
C. Data marts
D. Metadata
Answer» B. Data mining
9.

_________is the heart of the warehouse.

A. Data mining database servers
B. Data warehouse database servers
C. Data mart database servers
D. Relational data base servers
Answer» B. Data warehouse database servers
10.

_________is the specialized data warehouse database.

A. Oracle
B. DBZ
C. Informix
D. Redbrick
Answer» D. Redbrick
11.

___________defines the structure of the data held in operational databases and used by operational applications.

A. User-level metadata
B. Data warehouse metadata
C. Operational metadata
D. Data mining metadata
Answer» C. Operational metadata
12.

_________is held in the catalog of the warehouse database system.

A. Application level metadata
B. Algorithmic level metadata
C. Departmental level metadata
D. Core warehouse metadata
Answer» B. Algorithmic level metadata
13.

__________maps the core warehouse metadata to business concepts, familiar and useful to end users.

A. Application level metadata
B. User level metadata
C. Enduser level metadata
D. Core level metadata
Answer» A. Application level metadata
14.

____________ consists of formal definitions, such as a COBOL layout or a database schema.

A. Classical metadata
B. Transformation metadata
C. Historical metadata
D. Structural metadata
Answer» A. Classical metadata
15.

________consists of information in the enterprise that is not in classical form.

A. Mushy metadata
B. Differential metadata
C. Data warehouse
D. Data mining
Answer» A. Mushy metadata
16.

________ Databases are owned by particular departments or business groups.

A. Informational
B. Operational
C. Both informational and operational
D. Flat
Answer» B. Operational
17.

The star schema is composed of __________ fact table.

A. one
B. Two
C. Three
D. four
Answer» A. one
18.

The time horizon in operational environment is ________.

A. 30-60 days
B. 60-90 days
C. 90-120 days
D. 120-150 days
Answer» B. 60-90 days
19.

The key used in operational environment may not have an element of _________.

A. Time
B. Cost
C. Frequency
D. Quality
Answer» A. Time
20.

Data can be updated in ______ environment.

A. Data warehouse
B. Data mining
C. Operational
D. Informational
Answer» C. Operational
21.

Record cannot be updated in__________.

A. OLTP
B. Files
C. RDBMS
D. data warehouse
Answer» D. data warehouse
22.

The source of all data warehouse data is the__________.

A. Operational environment
B. Informal environment
C. Formal environment
D. Technology environment
Answer» A. Operational environment
23.

Data warehouse contains ______data that is never found in the operational environment.

A. Normalized
B. Informational
C. Summary
D. Denormalized
Answer» C. Summary
24.

The modern CASE tools belong to_________category.

A. Analysis
B. Development
C. Coding
D. Delivery
Answer» A. Analysis
25.

Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed in the conversion process.

A. 10 percent
B. 20 percent
C. 30 percent
D. 40 percent
Answer» D. 40 percent
26.

Detail data in single fact table is otherwise known as__________.

A. Monoatomic data
B. Diatomic data
C. Atomic data
D. Multiatomic data
Answer» C. Atomic data
27.

______test is used in an online transactional processing environment.

A. MEGA
B. MICRO
C. MACRO
D. ACID
Answer» D. ACID
28.

______is a good alternative to the star schema.

A. Star schema
B. Snowflake schema
C. Fact constellation
D. Star-snowflake schema
Answer» C. Fact constellation
29.

The biggest drawback of the level indicator in the classic star-schema is thatit limits_________.

A. Quantify
B. Qualify
C. Flexibility
D. Ability
Answer» C. Flexibility
30.

A data warehouse is__________.

A. Updated by end users
B. Contains numerous naming conventions and formats
C. Organized around important subject areas
D. Contains only current data
Answer» C. Organized around important subject areas
31.

An operational system is________.

A. Used to run the business in real time and is based on historical data
B. Used to run the business in real time and is based on current data
C. Used to support decision making and is based on current data
D. Used to support decision making and is based on historical data
Answer» B. Used to run the business in real time and is based on current data
32.

The generic two-level data warehouse architecture includes________.

A. At least one data mart
B. Data that can extracted from numerous internal and external sources
C. Near real-time updates
D. Far real-time updates
Answer» C. Near real-time updates
33.

The active data warehouse architecture includes _________.

A. At least one data mart
B. Data that can extracted from numerous internal and external sources
C. Near real-time updates
D. All of the above
Answer» D. All of the above
34.

Reconciled data is_________.

A. Data stored in the various operational systems throughout the organization
B. Current data intended to be the single source for all decision support systems
C. Data stored in one operational system in the organization
D. Data that has been selected and formatted for end-user support applications
Answer» B. Current data intended to be the single source for all decision support systems
35.

Transient data is___________.

A. Data in which changes to existing records cause the previous version of the records to be eliminated
B. Data in which changes to existing records do not cause the previous version of the records to be eliminated
C. Data that are never altered or deleted once they have been adde
D. D Data that are never deleted once they have been added
Answer» A. Data in which changes to existing records cause the previous version of the records to be eliminated
36.

The extract process is __________.

A. Capturing all of the data contained in various operational systems
B. Capturing a subset of the data contained in various operational systems
C. Capturing all of the data contained in various decision support systems
D. Capturing a subset of the data contained in various decision supportsystems
Answer» B. Capturing a subset of the data contained in various operational systems
37.

Data scrubbing is___________.

A. A process to reject data from the data warehouse and to create the necessary indexes
B. A process to load the data in the data warehouse and to create the necessary indexes
C. A process to upgrade the quality of data after it is moved into a data warehouse
D. A process to upgrade the quality of data before it is moved into a data warehouse
Answer» D. A process to upgrade the quality of data before it is moved into a data warehouse
38.

The load and index is_______.

A. A process to reject data from the data warehouse and to create the necessary indexes
B. A process to load the data in the data warehouse and to create the necessary indexes
C. A process to upgrade the quality of data after it is moved into a data warehouse
D. A process to upgrade the quality of data before it is moved into a data warehouse
Answer» B. A process to load the data in the data warehouse and to create the necessary indexes
39.

Data transformation includes___________.

A. A process to change data from a detailed level to a summary level
B. A process to change data from a summary level to a detailed level
C. Joining data from one source into various sources of data
D. Separating data from one source into various sources of data
Answer» A. A process to change data from a detailed level to a summary level
40.

______ is called a multifield transformation.

A. Converting data from one field into multiple fields
B. Converting data from fields into field
C. Converting data from double fields into multiple fields
D. Converting data from one field to one field
Answer» A. Converting data from one field into multiple fields
41.

The type of relationship in star schema is_________.

A. Many-to-many
B. One-to-one
C. One-to-many
D. Many-to-one
Answer» C. One-to-many
42.

Fact tables are_______.

A. Completely demoralized
B. Partially demoralized
C. Completely normalize
D. D Partially normalized
Answer» C. Completely normalize
43.

____________is the goal of data mining.

A. To explain some observed event or condition
B. To confirm that data exists
C. To analyze data for expected relationships
D. To create a new data warehouse
Answer» A. To explain some observed event or condition
44.

Business Intelligence and data warehousing is used for________.

A. Forecasting
B. Data Mining
C. Analysis of large volumes of product sales data
D. All of the above
Answer» D. All of the above
45.

The data administration subsystem helps you perform all of the following, except_________.

A. Backups and recovery
B. Query optimization
C. Security management
D. Create, change, and delete information
Answer» D. Create, change, and delete information
46.

The most common source of change data in refreshing a data warehouse is__________.

A. Query able change data
B. Cooperative change data
C. Logged change data
D. Snapshot change data
Answer» A. Query able change data
47.

___________are responsible for running queries and reports against data warehouse tables.

A. Hardware
B. Software
C. End users
D. Middle ware
Answer» C. End users
48.

Query tool is meant for_________.

A. Data acquisition
B. Information delivery
C. Information exchange
D. Communication
Answer» A. Data acquisition
49.

Classification rules are extracted from____________.

A. Root node
B. Decision tree
C. Siblings
D. Branches
Answer» B. Decision tree
50.

Dimensionality reduction reduces the data set size by removing_____________.

A. Relevant attributes
B. Irrelevant attributes
C. Derived attributes
D. Composite attributes
Answer» B. Irrelevant attributes

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