Data Tokenization — Learn free

Self-check

Questions 1–10 of 10

1. Which short phrase is used to describe Data Tokenisation in relation to Data Masking?
Question 1A. Data Masking without a keyB. Data Masking for unstructured dataC. Data Masking with MappabilityD. Data Masking in real timeE. Data Masking by summarisation
2. In Data Tokenisation, what replaces the sensitive data in the actual data store?
Question 2A. A unique system-generated value called a TokenB. A random value with no record keptC. A summarised rangeD. A hashed passwordE. A blank field
3. Where are the original data, the token and their mapping details kept in Data Tokenisation?
Question 3A. In the same table as the tokenB. In the application logC. In the user's browserD. They are discarded once the token is issuedE. In a Token Vault stored externally for safe keeping
4. What is the major difference between Data Tokenisation and Data Masking?
Question 4A. Tokenisation works only on numbers, masking on textB. Tokenised data is always reversible, whereas masked data is no longer reversible once changedC. Masking requires a vault, tokenisation does notD. Tokenisation is done manually, masking automaticallyE. Masking is used for privacy, tokenisation for performance
5. Which Data Warehousing concept is offered as a quick analogy for Data Tokenisation?
Question 5A. Fact tableB. Slowly changing dimensionC. Star schemaD. Surrogate KeyE. Materialised view
6. How does the location of a Surrogate Key in Data Warehousing differ from the location of the equivalent key in Data Tokenisation?
Question 6A. Both reside in the Token VaultB. In Data Warehousing it resides with the actual data, whereas in Data Tokenisation it resides in the Token VaultC. In Data Warehousing it resides in the Token Vault, whereas in Data Tokenisation it resides with the actual dataD. Both reside with the actual dataE. Neither is stored anywhere
7. What does Data Masking do to sensitive data?
Question 7A. Stores it in an external vaultB. Keeps a mapping so it can be restoredC. Replaces it with an auto-generated business keyD. Changes it to random values so that an individual cannot be identified if the data reaches the wrong handsE. Encrypts it with a recoverable key
8. Which of the following statements about Data Tokenisation is NOT correct?
Question 8A. The original data is destroyed once the token is issuedB. The token replaces the original data in the actual data storeC. The mapping between token and original is kept in a Token VaultD. The actual data is always reversibleE. It is often mixed up with Data Masking
9. Why is masked data no longer reversible?
Question 9A. Because the vault is deleted after maskingB. Because masking is applied only in transitC. Because masked data is compressedD. Because regulators forbid reversing itE. Because the sensitive data has been randomly changed with no mapping retained
10. In Data Tokenisation, what role does the token play in the actual data store?
Question 10A. It is stored alongside the original value as a duplicateB. It encrypts the original value in placeC. It replaces the original data while the mapping stays safe in the Token VaultD. It flags the record for deletionE. It is only used in reports