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Questions 1–10 of 10

1. What is a 'data doom pile'?
Question 1A. A backup archive kept for disaster recoveryB. A collection of unorganised or unprocessed data waiting to be sorted, analysed or managedC. A dataset that has been fully cleansed and cataloguedD. A database index that has become corruptedE. A report showing which datasets were deleted
2. The data doom pile is compared to which everyday physical space?
Question 2A. A locked filing cabinetB. A library catalogueC. A junk drawer or cluttered area for miscellaneous itemsD. A bank vaultE. A museum display case
3. Which of the following is given as an example of a data doom pile?
Question 3A. A spreadsheet of survey responses that has not yet been analysed or organisedB. A published research paper with its findingsC. A photo album carefully sorted by yearD. A completed report card with verified gradesE. An indexed database with documented schemas
4. A student's email inbox holds many emails with attachments and links, some important and some not, all waiting to be categorised, archived or deleted. How is this inbox described in the data doom pile concept?
Question 4A. As a data warehouseB. As a governance frameworkC. As a data catalogueD. As a data doom pileE. As a data lake
5. Which of the following is NOT one of the examples used to illustrate a data doom pile?
Question 5A. Unsorted data files in a computer folderB. Raw data from science experimentsC. Unprocessed sensor readingsD. Images in an unorganised galleryE. A fully labelled and filed set of tax returns
6. Why is it important to address a data doom pile?
Question 6A. Because unprocessed data automatically deletes itself after a periodB. Because ignoring it can lead to missed opportunities, lost insights and difficulty locating particular information when neededC. Because storage providers charge only for organised dataD. Because raw data cannot legally be storedE. Because doom piles cause hardware failures
7. Which of these is a recommended way to address a data doom pile?
Question 7A. Delete all unprocessed data immediatelyB. Move the data to a second unorganised folderC. Implement an organising system such as folders, naming conventions or taggingD. Wait until the pile stops growing before actingE. Restrict access so nobody can view the data
8. In an engineering project, readings collected from several sensors have not yet been processed or interpreted. What does this dataset represent?
Question 8A. A data doom pile awaiting analysisB. A finished data productC. A governance policyD. A data quality standardE. A technology roadmap
9. What role does scheduling regular review times play in managing a data doom pile?
Question 9A. It makes data collection unnecessaryB. It helps prevent the accumulation of unorganised dataC. It converts raw data into imagesD. It replaces the need for naming conventionsE. It guarantees the data is accurate
10. The data doom pile idea is compared to cleaning up a physical space. What is the point of this comparison?
Question 10A. That data should be printed out and stored physicallyB. That physical clutter and data clutter are unrelated problemsC. That organising and analysing data, like tidying a space, makes it more functional and supports informed decisionsD. That only physical spaces need tidyingE. That data doom piles are always caused by hardware