Data Synthetic or Mockup Data — Learn free

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Questions 1–10 of 10

1. What is synthetic data?
Question 1A. Original data that has been masked so that some fields are hiddenB. A new dataset generated by computer simulation, containing fake data with the right properties or attributesC. A backup copy of production data stored in a separate regionD. Data that has been swapped between rows to hide identitiesE. Aggregated data that no longer shows individual records
2. What drawback do techniques such as data generalisation, swapping, masking and encryption share?
Question 2A. They can only be applied to structured dataB. They are too slow for large datasetsC. They all change the original data, which most people do not wantD. They require a separate licenceE. They cannot be reversed
3. In the customer-information example, what do synthetic data tools produce?
Question 3A. An encrypted copy of the real customer tableB. A sample of real customers with their names removedC. A list of customers who have consented to sharingD. A dummy customer dataset with name, email, contact number and family details unrelated to the originalsE. An aggregated count of customers by region
4. Who benefits from synthetic customer data, according to *I Am Datapedia!*?
Question 4A. Developers building data pipelines and data scientists building models, without breaching regulatory or compliance clausesB. Auditors who need to see the original recordsC. Customers who want to check their own detailsD. Marketing teams who need real contact numbersE. Attackers who need realistic targets
5. Which of the following is NOT listed as a use of synthetic data?
Question 5A. Generating a larger dataset from a small one for analyticsB. Fulfilling compliance requirements to anonymise dataC. Sharing a representation of production data with the QA team for testingD. Parking fake data somewhere to confuse attackersE. Replacing the production database permanently
6. For which discipline is synthetic data described as 'the best fit'?
Question 6A. Financial auditingB. Machine LearningC. Network securityD. Master Data ManagementE. Project management
7. What is Full Synthetic Data?
Question 7A. Only the confidential fields of the original data are replacedB. Original data combined with other synthetic data to generate a further setC. The whole set of data is replaced with reference to the originalD. The original data left intact but encryptedE. A random sample of the original data
8. What is Partial Synthetic Data?
Question 8A. Only confidential data is replacedB. The whole dataset is replacedC. Half of the rows are deletedD. Data is generated from two synthetic sourcesE. Data is masked rather than generated
9. Which type of synthetic data is said to provide the most privacy capability?
Question 9A. Full Synthetic DataB. Partial Synthetic DataC. Masked DataD. Hybrid Synthetic DataE. Generalised Data
10. Which analytics scenario does *I Am Datapedia!* give as an example of using synthetic data to enlarge a small dataset?
Question 10A. Detecting duplicate customer recordsB. Calculating the average age of customersC. Encrypting transactions before archivingD. Counting distinct product categoriesE. Predicting the outcome if the number of similar transactions increased by 500%