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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 1

Q1 | __________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support ofmanagement decisions.
  • data mining.
  • data warehousing.
  • web mining.
  • text mining.
Q2 | The data Warehouse is__________.
  • read only.
  • write only.
  • read write only.
  • none.
Q3 | Expansion for DSS in DW is__________.
  • decision support system.
  • decision single system.
  • data storable system.
  • data support system.
Q4 | The important aspect of the data warehouse environment is that data found within the data warehouseis___________.
  • subject-oriented.
  • time-variant.
  • integrated.
  • all of the above.
Q5 | The time horizon in Data warehouse is usually __________.
  • 1-2 years.
  • 3-4years.
  • 5-6 years.
  • 5-10 years.
Q6 | The data is stored, retrieved & updated in ____________.
  • olap.
  • oltp.
  • smtp.
  • ftp.
Q7 | __________describes the data contained in the data warehouse.
  • relational data.
  • operational data.
  • metadata.
  • informational data.
Q8 | ____________predicts future trends & behaviors, allowing business managers to make proactive,knowledge-driven decisions.
  • data warehouse.
  • data mining.
  • datamarts.
  • metadata.
Q9 | __________ is the heart of the warehouse.
  • data mining database servers.
  • data warehouse database servers.
  • data mart database servers.
  • relational data base servers.
Q10 | ________________ is the specialized data warehouse database.
  • oracle.
  • dbz.
  • informix.
  • redbrick.
Q11 | ________________defines the structure of the data held in operational databases and used byoperational applications.
  • user-level metadata.
  • data warehouse metadata.
  • operational metadata.
  • data mining metadata.
Q12 | ________________ is held in the catalog of the warehouse database system.
  • application level metadata.
  • algorithmic level metadata.
  • departmental level metadata.
  • core warehouse metadata.
Q13 | _________maps the core warehouse metadata to business concepts, familiar and useful to end users.
  • application level metadata.
  • user level metadata.
  • enduser level metadata.
  • core level metadata.
Q14 | ______consists of formal definitions, such as a COBOL layout or a database schema.
  • classical metadata.
  • transformation metadata.
  • historical metadata.
  • structural metadata.
Q15 | _____________consists of information in the enterprise that is not in classical form.
  • mushy metadata.
  • differential metadata.
  • data warehouse.
  • data mining.
Q16 | . ______________databases are owned by particular departments or business groups.
  • informational.
  • operational.
  • both informational and operational.
  • flat.
Q17 | The star schema is composed of __________ fact table.
  • one.
  • two.
  • three.
  • four.
Q18 | The time horizon in operational environment is ___________.
  • 30-60 days.
  • 60-90 days.
  • 90-120 days.
  • 120-150 days.
Q19 | The key used in operational environment may not have an element of__________.
  • time.
  • cost.
  • frequency.
  • quality.
Q20 | Data can be updated in _____environment.
  • data warehouse.
  • data mining.
  • operational.
  • informational.
Q21 | Record cannot be updated in _____________.
  • oltp
  • files
  • rdbms
  • data warehouse
Q22 | The source of all data warehouse data is the____________.
  • operational environment.
  • informal environment.
  • formal environment.
  • technology environment.
Q23 | Data warehouse contains_____________data that is never found in the operational environment.
  • normalized.
  • informational.
  • summary.
  • denormalized.
Q24 | The modern CASE tools belong to _______ category.
  • a. analysis.
  • b.development
  • c.coding
  • d.delivery
Q25 | Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed inthe conversion process.
  • 10 percent.
  • 20 percent.
  • 40 percent
  • 80 percent.