Data Warehouse Set 3

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This set of Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Warehouse Set 3

Q1 | ________________ is an expensive process in building an expert system.
  • Analysis.
  • Study.
  • Design.
  • Information collection.
Q2 | The full form of KDD is _________.
  • Knowledge database.
  • Knowledge discovery in database.
  • Knowledge data house.
  • Knowledge data definition.
Q3 | The first International conference on KDD was held in the year _____________.
  • 1996.
  • 1997.
  • 1995.
  • 1994.
Q4 | Removing duplicate records is a process called _____________.
  • recovery.
  • data cleaning.
  • data cleansing.
  • data pruning.
Q5 | ____________ contains information that gives users an easy-to-understand perspective of the information stored in the data warehouse.
  • Business metadata.
  • Technical metadata.
  • Operational metadata.
  • Financial metadata.
Q6 | _______________ helps to integrate, maintain and view the contents of the datawarehousing system.
  • Business directory.
  • Information directory.
  • Data dictionary.
  • Database.
Q7 | Discovery of cross-sales opportunities is called ________________.
  • segmentation.
  • visualization.
  • correction.
  • association.
Q8 | Data marts that incorporate data mining tools to extract sets of data are called______.
  • independent data mart.
  • dependent data marts.
  • intra-entry data mart.
  • inter-entry data mart.
Q9 | ____________ can generate programs itself, enabling it to carry out new tasks.
  • Automated system.
  • Decision making system.
  • Self-learning system.
  • Productivity system.
Q10 | The power of self-learning system lies in __________.
  • cost.
  • speed.
  • accuracy.
  • simplicity.
Q11 | Building the informational database is done with the help of _______.
  • transformation or propagation tools.
  • transformation tools only.
  • propagation tools only.
  • extraction tools.
Q12 | How many components are there in a data warehouse?
  • two.
  • three.
  • four.
  • five.
Q13 | Which of the following is not a component of a data warehouse?
  • Metadata.
  • Current detail data.
  • Lightly summarized data.
  • Component Key.
Q14 | ________ is data that is distilled from the low level of detail found at the currentdetailed leve.
  • Highly summarized data.
  • Lightly summarized data.
  • Metadata.
  • Older detail data.
Q15 | Highly summarized data is _______.
  • compact and easily accessible.
  • compact and expensive.
  • compact and hardly accessible.
  • compact.
Q16 | A directory to help the DSS analyst locate the contents of the data warehouse is seenin ______.
  • Current detail data.
  • Lightly summarized data.
  • Metadata.
  • Older detail data.
Q17 | Metadata contains atleast _________.
  • the structure of the data.
  • the algorithms used for summarization.
  • the mapping from the operational environment to the data warehouse.
  • all of the above.
Q18 | Which of the following is not a old detail storage medium?
  • Phot Optical Storage.
  • RAID.
  • Microfinche.
  • Pen drive.
Q19 | The data from the operational environment enter _______ of data warehouse.
  • Current detail data.
  • Older detail data.
  • Lightly summarized data.
  • Highly summarized data.
Q20 | The data in current detail level resides till ________ event occurs.
  • purge.
  • summarization.
  • archieved.
  • all of the above.
Q21 | The dimension tables describe the _________.
  • entities.
  • facts.
  • keys.
  • units of measures.
Q22 | The granularity of the fact is the _____ of detail at which it is recorded.
  • transformation.
  • summarization.
  • level.
  • tr
Q23 | Which of the following is not a primary grain in analytical modeling?
  • Transaction.
  • Periodic snapshot.
  • Accumulating snapshot.
  • All of the above.
Q24 | Granularity is determined by ______.
  • number of parts to a key.
  • granularity of those parts.
  • both A and B.
  • none of the above.
Q25 | ___________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity.
  • Additivity.
  • Granularity.
  • Functional dependency.
  • Dimensionality.