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Q: Which RAID version does not provide data redundancy?
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To provide redundancy you want to implement raid by mirroring the data and use the least number of hard disks which raid level will you implement?

RAID 1


What technology would be best to use for drive redundancy and data protection?

A Raid technology.


How is redundancy achieved in a RAID system?

It depends on what RAID level you are planning to use. One of the most common levels is RAID 1, data is written identically to multiple hard drives. This achieves redundancy in a RAID system. It creates a duplicate, a fail safe in case of a hard drive failure.


How can you recover your data after a raid?

There is software available, such as Runtime that can recover any information you have lost to a Raid. There are also companies such as RAID, and Data Tech Labs that can provide help in a situation where data has been lost to a raid.


Why would you need two hard drives?

To increase the physical storage capacity of the computer, or to create redundancy in RAID configurations for data protection.


What is a fault tolerance measure known as disk striping with parity?

RAID-5 provides data redundancy by using parity. Parity is a calculated value used to reconstruct data after a failure. While data is being written to a RAID-5 volume, parity is calculated by doing an exclusive OR (XOR) procedure on the data. The resulting parity is then written to the volume.


When the same data are stored in many places?

Data redundancy


How can a primary key be useful in controlling data redundancy?

controlling data redundancy


Which RAID level morrors one hard drive with a second drive spo that the same data is written to both drives?

Such level of redundancy is called RAID 1 and nowadays is used mostly in consumer level computers.


DO you have redundancy of records in distributed DBMS?

Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.


What are a couple of problems whit a traditional file environment?

Data redundancy Lack of data redundancy Data inconsistency Data security


What is data redundancy and problems associated with it?

Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.