Data Preservation — Learn free

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Questions 1–10 of 10

1. What is Data Preservation about?
Question 1A. Securing and maintaining the safety and integrity of data after it has been processed, for future referenceB. Cleaning and standardising data before it is loaded into a warehouseC. Encrypting data while it is in transit between systemsD. Deleting data as soon as it is no longer needed for daily operationsE. Collecting personal data minimally and using it ethically
2. Which statement describes data that has been preserved?
Question 2A. It can be freely edited but never copiedB. It cannot be changed and is hardly ever purged or deletedC. It must be deleted after seven years in every industryD. It is kept only in memory for fast accessE. It is refreshed daily from the source system
3. Which of the following is NOT one of the three things to consider for Data Preservation?
Question 3A. What data is to be preservedB. What the retention period isC. Which visualisation tool will present the preserved dataD. Who will be responsible for preserving the dataE. For how long the data should be kept
4. Who is required for a data repository under Data Preservation?
Question 4A. An external auditorB. A regulatory bodyC. A data scientistD. A custodianE. An investor
5. Why is it not possible to preserve everything in the current era of big data?
Question 5A. Because regulators forbid preserving unstructured dataB. Because preserved data must be stored on paperC. Because only relational databases can preserve dataD. Because custodians are not allowed to keep data for more than a yearE. Because big data brings huge semi-structured and unstructured datasets, so one must decide what to preserve and for how long
6. In the traditional banking example of Data Preservation, for how long is the history of customers who have closed their accounts preserved?
Question 6A. Seven years from the day they closed their accountsB. One year from the day they opened their accountsC. Indefinitely, with no retention limitD. Thirty days after the final transactionE. Until the next external audit
7. Where is a good starting point for deciding which datasets to preserve?
Question 7A. The list of the most frequently queried tablesB. The list of compliance requirementsC. The list of the largest datasets by storage sizeD. The list of dashboards used by managementE. The list of datasets with the poorest quality
8. In the research field example, which data is preserved when hundreds of tests run daily?
Question 8A. Every piece of test data, without exceptionB. Only the data produced on the first day of each monthC. Only the data which can convince investors to keep investing, until new investment is inD. Only the data that failed quality checksE. Only the data older than seven years
9. Which datastores are given as examples in which certain datasets are chosen for preservation?
Question 9A. Spreadsheets, email archives and shared drivesB. Key-value stores, caches and message queuesC. Source transactional systems onlyD. Data Warehouse, Data Mart and Data LakeE. Backup tapes and printed reports
10. Alongside Data Security, Data Privacy, Data Integrity and Data Compliance, to what does Data Preservation refer?
Question 10A. The monetisation of the dataB. The visualisation of the dataC. The modelling of the dataD. The transformation of the dataE. The protection of the data