240+ Data Mining and Business Intelligence Solved MCQs

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
51.

___________is a method of incremental conceptual clustering.

A. CORBA
B. OLAP
C. COBWEB
D. STING
Answer» C. COBWEB
52.

Effect of one attribute value on a given class is independent of values of other attribute is called____________.

A. Value independence
B. Class conditional independence
C. Conditional independence
D. Unconditional independence
Answer» A. Value independence
53.

The main organizational justification for implementing a data warehouse is to provide__________.

A. Cheaper ways of handling transportation
B. Decision support
C. Storing large volume of data
D. Access to data
Answer» C. Storing large volume of data
54.

Multidimensional database is otherwise known as___________.

A. RDBMS
B. DBMS
C. EXTENDED RDBMS
D. EXTENDED DBMS
Answer» B. DBMS
55.

Data warehouse architecture is based on___________.

A. DBMS
B. RDBMS
C. Sybase
D. SQL Server
Answer» B. RDBMS
56.

Source data from the warehouse comes from__________.

A. ODS
B. TDS
C. MDDB
D. ORDBMS
Answer» A. ODS
57.

___________is a data transformation process.

A. Comparison
B. Projection
C. Selection
D. Filtering
Answer» D. Filtering
58.

The technology area associated with CRM is__________.

A. Specialization
B. Generalization
C. Personalization
D. Summarization
Answer» C. Personalization
59.

SMP stands for________.

A. Symmetric Multiprocessor
B. Symmetric Multiprogramming
C. Symmetric Metaprogramming
D. Symmetric Microprogramming
Answer» A. Symmetric Multiprocessor
60.

_____________are designed to overcome any limitations placed on the warehouse by the nature of the relational data model.

A. Operational database
B. Relational database
C. Multidimensional database
D. Data repository
Answer» C. Multidimensional database
61.

__________are designed to overcome any limitations placed on the warehouse by the nature of the relational data model.

A. Operational database
B. Relational database
C. Multidimensional database
D. Data repository
Answer» C. Multidimensional database
62.

MDDB stands for _______________.

A. Multiple data doubling
B. Multidimensional databases
C. Multiple double dimension
D. Multi-dimension doubling
Answer» B. Multidimensional databases
63.

____________is data about data.

A. Metadata
B. Microdata
C. Minidata
D. Multidata
Answer» A. Metadata
64.

_____________is an important functional component of the metadata.

A. Digital directory
B. Repository
C. Information directory
D. Data dictionary
Answer» C. Information directory
65.

EIS stands for____________.

A. Extended interface system
B. Executive interface system
C. Executive information system
D. Extendable information system
Answer» C. Executive information system
66.

____________is data collected from natural systems.

A. MRI scan
B. ODS data
C. Statistical data
D. Historical data
Answer» A. MRI scan
67.

__________is an example of application development environments.

A. Visual Basic
B. Oracle
C. Sybase
D. SQL Server
Answer» A. Visual Basic
68.

The term that is not associated with data cleaning process is____________.

A. Domain consistency
B. Deduplication
C. Disambiguation
D. Segmentation
Answer» D. Segmentation
69.

__________are some popular OLAP tools.

A. Metacube, Informix
B. Oracle Express, Essbase
C. HOLAP
D. MOLAP
Answer» A. Metacube, Informix
70.

Capability of data mining is to build __________models.

A. Retrospective
B. Interrogative
C. Predictive
D. Imperative
Answer» C. Predictive
71.

________is a process of determining the preference of customer's majority.

A. Association
B. Preferencing
C. Segmentation
D. Classification
Answer» B. Preferencing
72.

Strategic value of data mining is_______.

A. Cost-sensitive
B. Work-sensitive
C. Time-sensitive
D. Technical-sensitive
Answer» C. Time-sensitive
73.

___________proposed the approach for data integration issues.

A. Ralph Campbell
B. Ralph Kimball
C. John Raphlin
D. James Gosling
Answer» B. Ralph Kimball
74.

The terms equality and roll up are associated with__________.

A. OLAP
B. Visualization
C. Data mart
D. Decision tree
Answer» C. Data mart
75.

Exceptional reporting in data warehousing is otherwise called as__________.

A. Exception
B. Alerts
C. Errors
D. Bugs
Answer» B. Alerts
76.

_________is a metadata repository.

A. Prism solution directory manager
B. CORBA
C. STUNT
D. COBWEB
Answer» A. Prism solution directory manager
77.

_________is an expensive process in building an expert system.

A. Analysis
B. Study
C. Design
D. Information collection
Answer» D. Information collection
78.

The full form of KDD is__________.

A. Knowledge database
B. Knowledge discovery in database
C. Knowledge data house
D. Knowledge data definition
Answer» B. Knowledge discovery in database
79.

The first International conference on KDD was held in the year_________.

A. 1996
B. 1997
C. 1995
D. 1994
Answer» C. 1995
80.

Removing duplicate records is a process called____________.

A. Recovery
B. Data cleaning
C. Data cleansing
D. Data pruning
Answer» B. Data cleaning
81.

__________contains information that gives users an easy-to-understand perspective of the information stored in the data warehouse.

A. Business metadata
B. Technical metadata
C. Operational metadata
D. Financial metadata
Answer» A. Business metadata
82.

_________helps to integrate, maintain and view the contents of the data warehousing system.

A. Business directory
B. Information directory
C. Data dictionary
D. Database
Answer» B. Information directory
83.

Discovery of cross-sales opportunities is called _________.

A. Segmentation
B. Visualization
C. Correction
D. Association
Answer» D. Association
84.

Data marts that incorporate data mining tools to extract sets of data are called_________.

A. Independent data mart
B. Dependent data marts
C. Intra-entry data mart
D. Inter-entry data mart
Answer» B. Dependent data marts
85.

__________can generate programs itself, enabling it to carry out new tasks.

A. Automated system
B. Decision making system
C. Self-learning system
D. Productivity system
Answer» D. Productivity system
86.

The power of self-learning system lies in___________.

A. Cost
B. Speed
C. Accuracy
D. Simplicity
Answer» C. Accuracy
87.

Building the informational database is done with the help of ___________.

A. Transformation or propagation tools
B. Transformation tools only
C. Propagation tools only
D. Extraction tools
Answer» A. Transformation or propagation tools
88.

How many components are there in a data warehouse?

A. Two
B. Three
C. Four
D. Five
Answer» D. Five
89.

Which of the following is not a component of a data warehouse?

A. Metadata
B. Current detail data
C. Lightly summarized data
D. Component Key
Answer» D. Component Key
90.

___________is data that is distilled from the low level of detail found at the current detailed leve.

A. Highly summarized data
B. Lightly summarized data
C. Metadata
D. Older detail data
Answer» B. Lightly summarized data
91.

Highly summarized data is __________.

A. Compact and easily accessible
B. Compact and expensive
C. Compact and hardly accessible
D. Compact
Answer» A. Compact and easily accessible
92.

A directory to help the DSS analyst locate the contents of the data warehouse isseen in __________.

A. Current detail data
B. Lightly summarized data
C. Metadata
D. Older detail data
Answer» C. Metadata
93.

Metadata contains at least__________.

A. The structure of the data
B. The algorithms used for summarization
C. The mapping from the operational environment to the data warehouse
D. All of the above
Answer» D. All of the above
94.

Which of the following is not a old detail storage medium?

A. Phot Optical Storage
B. RAID
C. Microfinche
D. Pen drive
Answer» D. Pen drive
95.

The data from the operational environment enter_____________of data warehouse.

A. Current detail data
B. Older detail data
C. Lightly summarized data
D. Highly summarized data
Answer» A. Current detail data
96.

The data in current detail level resides till__________event occurs.

A. Purge
B. Summarization
C. Archieve
D. D All of the above
Answer» D. D All of the above
97.

The dimension tables describe the __________.

A. Entities
B. Facts
C. Keys
D. Units of measures
Answer» B. Facts
98.

The granularity of the fact is the ___________ of detail at which it is recorded.

A. Transformation
B. Summarization
C. Level
D. Tr
Answer» A. Transformation
99.

Which of the following is not a primary grain in analytical modeling.

A. Transaction
B. Periodic snapshot
C. Accumulating snapshot
D. All of the above
Answer» B. Periodic snapshot
100.

Granularity is determined by___________.

A. Number of parts to a key
B. Granularity of those parts
C. Both A and B
D. None of the above
Answer» C. Both A and B
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