Duplicate Data Elimination

5 minutes 5 Questions

Duplicate Data Elimination (DDE), also known as data deduplication, is the process of identifying redundant or duplicate data within a network and removing those duplicates to reduce storage overhead and optimize bandwidth usage. DDE can be implemented at various levels, such as file, block, or bit…

Understanding Duplicate Data Elimination for CompTIA Network+

Duplicate Data Elimination (DDE) is a highly important topic in network performance optimization. With the upsurge in data production and storage needs in modern networks, eliminating duplicate data is crucial for managing network performance and storage efficiency.

What is Duplicate Data Elimination?
Duplicate Data Elimination is a method used mostly in data deduplication systems for the removal of duplicate copies of repeating data in a network. It betters storage utilization and can also enhance network performance because less data is transmitted across the network.

How does it work?
Often carried out in storage systems, DDE involves scanning chunks of data, identifying duplication and storing only one copy, while the other copies are replaced with a reference to the original data. It is sometimes used in conjunction with data compression to maximize storage optimization.

Why is it important?
Implementing Duplicate Data Elimination can result in significant savings in storage space, faster data transfer speeds, and fewer data to backup. All these contribute immensely to the overall performance and efficiency of a network.

Exam Tips: Answering Questions on Duplicate Data Elimination
1. Understand the principles of DDE including its benefits and its working process.
2. Be clear about how DDE is used alongside other optimization techniques like data compression.
3. Familiarize yourself with different situations when DDE can be most effective. For example, in backup systems or large-scale storage systems.
4. Rehearse with practical examples and questions to test your ability to apply knowledge of DDE effectively during exams.

Remember, DDE is not just a theoretical concept, but it is a real-world solution to enhance network performance optimization.

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Question 1

A network analyst notices that a server has a high amount of duplicate data. What is the best solution to eliminate duplicate data?

Implement data deduplication Upgrade the server's RAM Enable jumbo frames Add more storage to the server

Correct Answer: Implement data deduplication

Implementing data deduplication is the best solution to eliminate duplicate data on a server. Data deduplication is a specialized data compression technique for eliminating duplicate copies of repeating data which reduces storage space. The other answers are not the best solutions as they do not address the issue at its source. Adding more storage to the server would not eliminate the duplicate data, it would simply provide more space for it. Upgrading the server's RAM would improve the server's performance, but it would not eliminate duplicate data. Enabling jumbo frames can boost transfer speed by allowing more data to be sent at once, but this doesn't help in reducing duplicate data.

Question 2

A network admin is asked to reduce the data redundancy on the file server. In which order should the admin perform the following steps: A. Determine the data types causing redundancy. B. Brainstorm data deduplication options. C. Implement the selected deduplication solution.?

B, C, A A, B, C B, A, C C, B, A

Correct Answer: A, B, C

The correct order would be 'A, B, C'. Firstly, the admin should 'Determine the data types causing redundancy.' This is because before implementing a solution, you must understand the problem; you need to figure out what kind of data is being duplicated. Secondly, the admin should 'Brainstorm data deduplication options.' This means that the admin should consider different ways of reducing the duplication of data in their system. Lastly, the admin should 'Implement the selected deduplication solution.' This is the final delivery where the best deduplication system is employed to solve the redundancy. The other answers are not following a good workflow to solve this issue.

Question 3

A network technician implemented a data deduplication system to eliminate duplicate data on their network. After a few months, they noticed that the deduplication ratio is not as high as it should be. What is the most likely cause?

Excessive RAM usage Too many connected devices Unsuitable deduplication method Inadequate storage capacity

Correct Answer: Unsuitable deduplication method

The most likely cause of data deduplication system not yielding high deduplication ratio would be the Unsuitable deduplication method. If the method chosen for deduplication doesn't align well with the kind of data being handled, then it might fail to correctly identify and eliminate redundancy. The other options could be wrong as 'Excessive RAM usage' and 'Too many connected devices' might lead to system performance issues but won't directly impact the deduplication ratio. Similarly, 'Inadequate storage capacity' can cause system crashes or failure to store new data, but it doesn't directly lead to lower deduplication ratio.

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