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Q: What is a result of improperly implementing a network with redundancy at Layer 2?
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Boat accidents involving sportsmen are usually a result of what?

improperly or overloading the boat


How is data redundancy reduced?

Data redundancy can be reduced by normalizing the database to eliminate duplicate data, creating relationships between tables, and using foreign keys to link related information. Using data validation rules and constraints can also help prevent redundant data from being entered into the database. Implementing a master data management strategy can centralize and standardize data, reducing redundancy across different systems.


What is a result of boating accident involving sportsman?

improperly or overloading the boat


What are major sources of redundancy in print?

Major sources of redundancy in print include repetitive use of words or phrases, redundant information, unnecessary details, and repetitive sentence structures. Redundancy can result in a text that is overly wordy and less clear. It is important to revise and edit print materials to eliminate redundancy and improve clarity.


What Boating accident involving sportsmen are usually a result of what?

improperly or overloading the boat


Boating accidents involving sportsman is usually a result of what?

improperly or overloading the boat


Boating accidents involving sportsmen are usually result of what?

improperly or overloading the boat


A fall or an improperly delivered gluteal injection could result in?

postpoliomyelitis muscular atrophy the correct answer is sciatica


Boating accident involves sportsman are usually a result of what?

not having the proper lights at night


What is Data redundancy in DBMS?

Data redundancy in DBMS refers to the duplication of data within a database system. This can result in inconsistencies and inefficiencies, as well as consuming more storage space. It is important to minimize data redundancy in order to maintain data integrity and improve performance.


What are three anomalies that are likely result to data redundancy?

The three types of anomalies likely to show up are: Insertion, Deletion, and Update anomalies.


What is data redundancy and which characteristics of the file system can lead to it?

Data redundancy refers to repetitive data in the database. In a system with redundant data it is difficult to manage the relationships. Data redundancy is the result of poorly designed database. By implying proper constraints on the data it can be prevented.