Canned Data — Learn free

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Questions 1–10 of 10

1. What is Canned Data?
Question 1A. Data that has been archived and is no longer accessibleB. A dataset prepared to business requirements, readily available at one click and needing no further cleansing or wranglingC. Data generated by computer simulationD. Raw data copied as-is into a landing zoneE. Data restricted to one department
2. What is the aim of Canned Data?
Question 2A. That users can just click and data is servedB. That data is encrypted before storageC. That data scientists can build their own models from raw dataD. That analysts can wrangle the data themselvesE. That data is kept for regulatory retention
3. Which analogy explains Canned Data in *I Am Datapedia!*?
Question 3A. A password inventoryB. A floppy driveC. Canned food, which is prepared and sealed to be used anytime, anywhere, by anyoneD. A trade unionE. Reading letters on a page
4. Which structure is given as a perfect example of Canned Data?
Question 4A. A landing zoneB. An OLTP transaction tableC. OLAP CubesD. A Kafka topicE. A synthetic dataset
5. What kind of data does an OLAP Cube store, making it Canned Data?
Question 5A. Raw, unprocessed transactionsB. Pre-calculated and pre-aggregated data in a multi-dimensional tableC. Encrypted personal identifiersD. Unstructured video and audioE. Source data models copied as-is
6. Can Canned Data be refreshed?
Question 6A. No, it is static once createdB. Only by adding new data elementsC. Only by rebuilding the whole data warehouseD. Yes, with the latest data using the same existing data elementsE. Only once per year
7. Which of the following is NOT something Canned Data is meant to need?
Question 7A. Further cleansingB. Further wranglingC. Further reconciliationD. A refresh with the latest dataE. Additional manual preparation
8. In what format might Canned Data be prepared if the business requires it?
Question 8A. Pre-aggregated, in one accessible formatB. Row-level raw transactions onlyC. Encrypted binary onlyD. Free-text notesE. Separate files per source system
9. Which phrase best describes the readiness of Canned Data?
Question 9A. Ready to be cleansedB. Ready to be deletedC. Ready to be modelledD. Ready to be migratedE. Ready to use
10. What is the basis on which a Canned Dataset is prepared?
Question 10A. The order in which data arrivedB. The database vendor's defaultsC. The size of available storageD. Random samplingE. Business requirements