Dark Data and Dormant Data — Learn free

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Questions 1–10 of 10

1. How is Dark Data defined?
Question 1A. Data that is not utilisedB. Data that has been encryptedC. Data stored on tape drivesD. Data that is used only occasionallyE. Data older than the retention policy allows
2. Why is Dark Data typically not in use, and how does this affect its status as an asset?
Question 2A. It is in use but too expensive to store, so it is an assetB. It has been deleted, so it is no longer an assetC. It is not in use due to a lack of technology, and it is not a Data AssetD. It is fully utilised but poorly documented, so it is a liabilityE. It is in use only for marketing, so it is a partial asset
3. Which statement best defines Dormant Data?
Question 3A. Data that can never be analysedB. Data that must be purged immediatelyC. Data that is still being loaded into the warehouseD. Data whose format is unknownE. Data that is usable but underutilised, because decision-makers do not use it or it is not currently required for analysis
4. Where is Dormant Data typically kept?
Question 4A. In the operational database alongside live dataB. On tape drives, in Hadoop or, nowadays, in Object StorageC. Only in printed archivesD. In the data warehouse serving layerE. In application memory for quick access
5. Before the introduction of Big Data, roughly what percentage of data was Dark Data?
Question 5A. About 10%B. About 25%C. About 50%D. About 90%E. About 100%
6. Before Big Data technologies, what was the only reason companies kept datasets such as logs, JSON, XML, video and audio files?
Question 6A. To train machine learning modelsB. To sell them to advertisersC. For compliance or audit purposesD. To feed marketing campaignsE. To populate dashboards
7. Which example is given of data becoming Dormant?
Question 7A. Customer buying and spending data from before January 2020 after the Covid-19 changes in behaviourB. Server logs that were never parsedC. Video files that no tool could analyseD. Duplicate customer records created by a migrationE. Metadata that was never catalogued
8. Which of the following is NOT listed among the technologies and frameworks companies invest in to make use of Dark Data?
Question 8A. Data LakeB. Delta LakeC. LakehouseD. Data VaultE. Mainframe
9. What is the relationship between the amount of Dark Data in an organisation and cost?
Question 9A. Dark Data is free to hold because it is never processedB. The more Dark Data, the more cost without any return on investmentC. Dark Data reduces cost by replacing structured storageD. Cost falls as Dark Data grows because it is compressedE. Dark Data costs are always recovered through compliance fines avoided
10. What is predicted to become the most essential and obvious KPI for a Chief Data Officer?
Question 10A. Number of dashboards publishedB. Volume of structured data loadedC. Size of the data warehouseD. Dark Data ManagementE. Number of NoSQL databases deployed