Data vs Information vsKnowledge vsWisdom — Learn free

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Questions 1–10 of 10

1. In what sequence does the DIKW model generally arrange its four terms?
Question 1A. Wisdom, Knowledge, Information, DataB. Information, Data, Knowledge, WisdomC. Data, Information, Knowledge, WisdomD. Knowledge, Data, Wisdom, InformationE. Data, Knowledge, Information, Wisdom
2. How does the author of I Am Datapedia! propose to rearrange Data, Information, Knowledge and Wisdom?
Question 2A. Wisdom comes first and produces DataB. Information and Knowledge both come from Data, and Wisdom comes from both Information and KnowledgeC. Knowledge comes from Wisdom, and Information from KnowledgeD. Data comes from InformationE. All four are independent of each other
3. Is all Data equal to Information, and can all Data become Information?
Question 3A. All Data is Information, and none of it needs to changeB. No Data can ever become InformationC. All Data is Information only if it is stored in a databaseD. Not all Data is Information, but all Data can become Information depending on the nature of the business or requirementE. Only unstructured Data can become Information
4. What is Information tightly coupled with?
Question 4A. What one wants to knowB. The size of the databaseC. The number of source systemsD. The programming language usedE. The age of the data
5. In the shopping mall example, what does asking the Information Counter for one particular shop illustrate?
Question 5A. That Data is about a single shopB. That Knowledge is knowing every shopC. That Wisdom comes from the counter staffD. That Information is unrelated to requirementsE. That Information is the specific detail you need, not the details of all the shops in the mall
6. How is the success of a data solution measured, according to I Am Datapedia!?
Question 6A. By the number of tables it containsB. By the extractable Information it provides; if it cannot serve decision makers it is equal to not having itC. By the cost of the hardwareD. By the number of users who log inE. By how much raw Data it stores
7. How does Knowledge differ from Information?
Question 7A. Knowledge is a subset of InformationB. Knowledge is only about business requirementsC. Knowledge is knowing insights about almost everything inside the data, regardless of business requirementsD. Knowledge is stored in the database while Information is notE. Knowledge and Information are the same
8. Why is the Subject Matter Expert used as an example when explaining Knowledge?
Question 8A. Because an SME only knows the business requirementsB. Because an SME is always a data scientistC. Because an SME never uses DataD. Because we say an SME has good Knowledge of a system, never merely good Information about itE. Because an SME is responsible for Wisdom
9. What is Wisdom, in the terms of Data, Information, Knowledge and Wisdom?
Question 9A. Having both Information and Knowledge: knowing insights about all raw data in the organisation and knowing the business requirementsB. Knowing only the business requirementsC. Knowing only the raw dataD. Owning the largest databaseE. Having access to every dashboard
10. What can an individual with Wisdom do that others cannot?
Question 10A. Store more Data than anyone elseB. Delete Data without approvalC. Write faster SQL queriesD. Ignore business requirements entirelyE. Take decisions and find more relevant Information from Dark Data