DBMS-Data Warehousing and Data Mining Questions and Answers

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Showing 10 of 36 questions
Q11
OLAP is a database interface tool that allows users to quickly navigate within their data.
  • A TRUE
  • B FALSE
Answer: Option A
Q12
Data mining is the process of extracting valid, previously unknown, cmprehensible and actionable information from large database and using it to make crucial business decisions
  • A TRUE
  • B FALSE
Answer: Option A
Q13
The goal off data miningg is to create models for decision-making that predict future behaviouur based on  analyses of past activity.
  • A TRUE
  • B FALSE
Answer: Option A
Q14
Data mining predicts the future behaviour of certain attributes within data.
  • A TRUE
  • B FALSE
Answer: Option A
Q15
In the association rules in data mining, the database is regarded as a collection of transactions, each involving a set of item.
  • A TRUE
  • B FALSE
Answer: Option A
Q16
In data mining, classifiction is the process of learning a model that describes different classes of data.
  • A TRUE
  • B FALSE
Answer: Option A
Q17
 Which of the following is a characterstic of the data in a data warehouse ?
  • A Non-volatile.
  • B Subject-oriented
  • C Time-variented.
  • D All of these
Answer: Option D
Q18
Data warehouse is a special type of database with a
  • A Single archive of data
  • B Consistent archieve of data
  • C Complete archive of data
  • D All of these
Answer: Option D
Q19
Data warehouses, extract information for strategic use of the organisation in reducing  costs and improving revenues, out ot
  • A Legacy systems
  • B secondary storage.
  • C main memory
  • D None of these
Answer: Option A
Q20
The advancements in technology and the develpment of microcomputers (PCs) along with data-orientation in form of relational databases, drove the emergence of end-user computing during
  • A 1970s and 1980s
  • B 1980s and 1990s
  • C 1990s and 2000s
  • D the start of the 21st century.
Answer: Option A
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