Data Perturbation/ Data Swapping/Data Shuffling/Data Scrambling/Data Obfuscation

Self-check

Questions 1–10 of 10

1. What common goal do Data Perturbation, Data Swapping, Data Shuffling, Data Scrambling and Data Obfuscation share?
Question 1A. Reducing the size of a datasetB. Hiding the identity of an entity while keeping the essence of the dataC. Converting data into a new file formatD. Making data reversible at any timeE. Summarising data into ranges
2. What is Data Swapping?
Question 2A. Removing identifiable values from a datasetB. Summarising identifiable values into rangesC. Encrypting values with a shared keyD. Replacing the values of data at the same level of detail as the original dataE. Moving data from one server to another
3. What property of the data is maintained when values are replaced by Data Swapping?
Question 3A. CardinalityB. EncryptionC. File sizeD. Column namesE. Row order
4. How do Data Anonymisation, Data Generalisation and Data Swapping each treat identifiable data?
Question 4A. All three remove itB. All three summarise itC. Anonymisation summarises it, Generalisation removes it, Swapping encrypts itD. Anonymisation replaces it, Generalisation removes it, Swapping summarises itE. Anonymisation removes it, Generalisation summarises it, Swapping replaces it at the same level
5. Who mainly uses the Data Swapping technique?
Question 5A. Marketing teams preparing campaignsB. Auditors reviewing complianceC. Data Scientists and Data Citizens who need data at the lowest level to create and train Machine Learning modelsD. Network administratorsE. Legal teams drafting contracts
6. In the age example of Data Swapping, with which value is the age 26 swapped?
Question 6A. 28B. 59C. 42D. 57E. 20-29
7. What is Partial Swapping?
Question 7A. Swapping that replaces every value in the columnB. Swapping that summarises values into rangesC. Swapping that removes half of the recordsD. Swapping that is fully reversibleE. Swapping that does not replace all the values
8. How reversible are Data Perturbation, Swapping, Shuffling, Scrambling, Obfuscation and Masking?
Question 8A. They are a permanent change of data, very hard to revert and in most cases not reversibleB. They are always reversible with the original keyC. They are reversible only for structured dataD. They are reversible within 24 hoursE. They never change the stored data
9. Which of the following is NOT named as part of the same family of identity-hiding techniques as Data Swapping?
Question 9A. Data ShufflingB. Data ScramblingC. Data EncryptionD. Data ObfuscationE. Data Perturbation
10. In Data Swapping, what does NOT happen to the data being protected?
Question 10A. Its values are exchanged with other valuesB. Its level of detail is preservedC. Its cardinality is maintainedD. It is removed or summarised into another columnE. It becomes usable for training Machine Learning models