List and explain the following key data modeling terms: entity, attribute, relationship, degree, cardinality, and associative entity
What will be an ideal response?
An entity is a person, place, object, event, or concept in the user environment about which the organization wishes to collect and maintain data. An attribute is a named property or characteristic of an entity that is of interest to the organization. A relationship is an association between the instances of one or more entity types that is of interest to the organization. Degree defines the number of entity types that participate in a relationship. Cardinality specifies the number of instances of entity B that can (or must) be associated with each instance of entity A. An associative entity is a many-to-many (or one-to-one) relationship that the data modeler chooses to model as an entity type with several associated one-to-many relationships with other entity types.
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All of the following are considered floods under the federal flood insurance program EXCEPT
A) the overflow of tidal waters. B) the accumulation of surface water after a heavy rain. C) a mudslide caused by an accumulation of water after a heavy rain. D) the discharge of water from a home appliance, such as a water heater or washing machine.
Harold considers investing in an LM Corp. bond and decides not to purchase the bond. Which of
the following statements is MOST correct? A) The liquidation value of the bond is greater than the market value of the bond. B) The intrinsic value of the bond for the investor is greater than the book value of the bond. C) The intrinsic value of the bond for the investor is less than the market value of the bond. D) The intrinsic value of the bond for the investor is less than the par value of the bond.