Data Anonymization/Data Pseudonymization/Data De-Identification

Self-check

Questions 1–10 of 10

1. What is Data Anonymisation?
Question 1A. Compressing personal data to save storageB. Removing or modifying personal information before sharing so that the people the data is about remain anonymousC. Backing up personal data to an offsite locationD. Publishing personal data with the owner's consentE. Converting personal data into a different file format
2. To which area of data practice are Data Anonymisation, Data Pseudonymisation and Data De-identification related?
Question 2A. Data WarehousingB. Data VisualisationC. Data ModellingD. Data PrivacyE. Data Archiving
3. Which scenario is given as an example of when Data Anonymisation is required?
Question 3A. Sharing data with a development team while implementing a data solutionB. Printing a monthly sales reportC. Creating a database indexD. Running a nightly backupE. Upgrading the database server
4. By whom is Data Anonymisation normally enforced?
Question 4A. The marketing departmentB. Software vendorsC. Regulatory bodiesD. Database administratorsE. End users
5. What can happen to an organisation that fails to anonymise data as required?
Question 5A. It gains a competitive advantageB. Nothing, since anonymisation is optionalC. Its data becomes more valuableD. It receives a certificate of complianceE. It faces heavy penalties and a bad reputation
6. Which of the following is NOT listed as a Data Anonymisation technique?
Question 6A. Data MaskingB. Data SwappingC. Data CompressionD. Data GeneralisationE. Data Scrambling
7. Which of the following is a disadvantage of Data Anonymisation?
Question 7A. Anonymised data cannot be used for marketingB. Anonymised data takes up more storageC. Anonymised data cannot be shared with development teamsD. Anonymised data is illegal in most countriesE. Anonymised data cannot be loaded into a database
8. Why can Data Anonymisation cause problems in a Data Migration project?
Question 8A. Because anonymised data is always largerB. Because regulators forbid migrating anonymised dataC. Because migration tools cannot read anonymised filesD. Because migration projects normally require the original dataset for testing, so anonymisation can lead to mismatchesE. Because anonymisation deletes the source database
9. Which technique is used in the Data Anonymisation before-and-after example in I Am Datapedia!?
Question 9A. Data EncodingB. Data MaskingC. Data SyntheticD. Data GeneralisationE. Data Swapping
10. How do Data Anonymisation, Data Pseudonymisation and Data De-identification relate to one another?
Question 10A. They are three unrelated disciplinesB. They all work the same way and relate to Data PrivacyC. Only Data Anonymisation is enforced by regulatorsD. Data Pseudonymisation is the opposite of Data AnonymisationE. Data De-identification applies only to unstructured data