Question 5Data analysts use archiving to copy and keep backups of important files. These backups are used if original files are lost.1 pointTrueFalse

Data analysts use archiving to copy and keep backups of important files. These backups are used if original files are lost.

Step 1: Understand the purpose of archiving Archiving is a process used by data analysts to create copies of important files and store them in a separate location. The main purpose of archiving is to ensure that if the original files are lost or damaged, there is a backup available that can be used to restore the data.

Step 2: Copying the files To create backups, data analysts copy the important files and store them in a secure location. This can be done using various methods such as manual copying, using backup software, or utilizing cloud storage services.

Step 3: Storing the backups Once the files are copied, data analysts store the backups in a separate location. This can be an external hard drive, a network server, or a cloud storage platform. The chosen storage method should be reliable and easily accessible in case the backups need to be restored.

Step 4: Regularly updating the backups Data analysts understand the importance of keeping the backups up to date. This means that whenever changes are made to the original files, the backups should also be updated to reflect these changes. Regularly updating the backups ensures that the most recent version of the files is available in case of data loss.

Step 5: Testing the backups To ensure the effectiveness of the backups, data analysts periodically test them. This involves restoring the backups and verifying that the files can be accessed and are in good condition. Testing the backups helps identify any issues or errors that may have occurred during the archiving process.

Step 6: Retrieving the backups if needed If the original files are lost or damaged, data analysts can retrieve the backups and restore the data. This involves accessing the stored backups and transferring the files back to their original location or a new location, depending on the circumstances.

In conclusion, data analysts use archiving to create backups of important files, which can be used to restore data if the original files are lost. Archiving involves copying the files, storing the backups in a separate location, regularly updating them, testing their effectiveness, and retrieving them when needed.