Data Warehouse Set 1

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

Q1 | The data Warehouse is__________.
  • read only.
  • write only.
  • read write only.
  • none.
Q2 | The important aspect of the data warehouse environment is that data found within the data warehouse is___________.
  • subject-oriented.
  • time-variant.
  • integrated.
  • All of the above.
Q3 | __________ is the heart of the warehouse.
  • Data mining database servers.
  • Data warehouse database servers.
  • Data mart database servers.
  • Relational data base servers.
Q4 | The biggest drawback of the level indicator in the classic star-schema is that itlimits_________.
  • quantify.
  • qualify.
  • flexibility.
  • ability.
Q5 | A data warehouse is _____________.
  • updated by end users.
  • contains numerous naming conventions and formats
  • organized around important subject areas.
  • contains only current data.
Q6 | An operational system is _____________.
  • used to run the business in real time and is based on historical data.
  • used to run the business in real time and is based on current data.
  • used to support decision making and is based on current data.
  • used to support decision making and is based on historical data.
Q7 | The generic two-level data warehouse architecture includes __________.
  • at least one data mart.
  • data that can extracted from numerous internal and external sources.
  • near real-time updates.
  • far real-time updates.
Q8 | The active data warehouse architecture includes __________
  • at least one data mart.
  • data that can extracted from numerous internal and external sources.
  • near real-time updates.
  • all of the above.
Q9 | Reconciled data is ___________.
  • data stored in the various operational systems throughout the organization.
  • current data intended to be the single source for all decision support systems.
  • data stored in one operational system in the organization.
  • data that has been selected and formatted for end-user support applications.
Q10 | Transient data is _____________.
  • data in which changes to existing records cause the previous version of the records to be eliminated.
  • data in which changes to existing records do not cause the previous version of the records to be eliminated.
  • data that are never altered or deleted once they have been added.
  • data that are never deleted once they have been added.
Q11 | The extract process is ______.
  • capturing all of the data contained in various operational systems.
  • capturing a subset of the data contained in various operational systems.
  • capturing all of the data contained in various decision support systems.
  • capturing a subset of the data contained in various decision support systems.
Q12 | Data scrubbing is _____________.
  • a process to reject data from the data warehouse and to create the necessary indexes.
  • a process to load the data in the data warehouse and to create the necessary indexes.
  • a process to upgrade the quality of data after it is moved into a data warehouse.
  • a process to upgrade the quality of data before it is moved into a data warehouse
Q13 | The load and index is ______________.
  • a process to reject data from the data warehouse and to create the necessary indexes.
  • a process to load the data in the data warehouse and to create the necessary indexes.
  • a process to upgrade the quality of data after it is moved into a data warehouse.
  • a process to upgrade the quality of data before it is moved into a data warehouse.
Q14 | Data transformation includes __________.
  • a process to change data from a detailed level to a summary level.
  • a process to change data from a summary level to a detailed level.
  • joining data from one source into various sources of data.
  • separating data from one source into various sources of data.
Q15 | ____________ is called a multifield transformation.
  • Converting data from one field into multiple fields.
  • Converting data from fields into field.
  • Converting data from double fields into multiple fields.
  • Converting data from one field to one field.
Q16 | The type of relationship in star schema is __________________.
  • many-to-many.
  • one-to-one.
  • one-to-many.
  • many-to-one.
Q17 | Fact tables are ___________.
  • completely demoralized.
  • partially demoralized.
  • completely normalized.
  • partially normalized.
Q18 | _______________ is the goal of data mining.
  • To explain some observed event or condition.
  • To confirm that data exists.
  • To analyze data for expected relationships.
  • To create a new data warehouse.
Q19 | Business Intelligence and data warehousing is used for ________.
  • Forecasting.
  • Data Mining.
  • Analysis of large volumes of product sales data.
  • All of the above.
Q20 | The data administration subsystem helps you perform all of the following,except__________.
  • backups and recovery.
  • query optimization.
  • security management.
  • create, change, and delete information.
Q21 | The most common source of change data in refreshing a data warehouse is _______.
  • queryable change data.
  • cooperative change data.
  • logged change data.
  • snapshot change data.
Q22 | ________ are responsible for running queries and reports against data warehousetables.
  • Hardware.
  • Software.
  • End users.
  • Middle ware.
Q23 | Query tool is meant for __________.
  • data acquisition.
  • information delivery.
  • information exchange.
  • communication.
Q24 | Classification rules are extracted from _____________.
  • root node.
  • decision tree.
  • siblings.
  • branches.
Q25 | Dimensionality reduction reduces the data set size by removing ____________.
  • relevant attributes.
  • irrelevant attributes.
  • derived attributes.
  • composite attributes.