Data Discovery — Learn free

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Questions 1–10 of 10

1. What does Data Discovery involve?
Question 1A. Deleting data that is no longer usedB. The collection and evaluation of data from various sources, often to understand trends and patternsC. Assigning access rights to database tablesD. Splitting a dataset into training and testing subsetsE. Selling data to third parties
2. Which of the following is NOT one of the data problems listed as reasons why raw source data must be streamlined before Data Discovery results reach end users?
Question 2A. Null valuesB. Different date formatsC. Spelling mistakes and special charactersD. Different codes for the same product across systemsE. Data stored in more than one language
3. In the Data Discovery example, a Glass product is coded GLS in one source system and GS in another. What problem does this illustrate?
Question 3A. Different codes for the same product across source systemsB. Null values in the product tableC. Duplicate rows in one systemD. Special characters in product namesE. Different date formats
4. Which group mostly prefers raw data without any cleaning, cleansing or scrubbing, for use in Data Dredging, Snooping, p-hacking and Fishing?
Question 4A. Business end usersB. C-level executivesC. Data ScientistsD. Data AnalystsE. Finance consultants
5. What state of data do Data Analysts mostly prefer for Data Discovery?
Question 5A. Completely raw dataB. Data that is encryptedC. Data that has been fully scrubbed, wrangled and mungedD. Data that has at least been cleaned and cleansedE. Data that has been aggregated into KPIs only
6. What do Business End Users and C-level executives expect of data before it reaches them for decision making?
Question 6A. That it is raw, so they can explore it themselvesB. That it is cleaned, cleansed, scrubbed, wrangled and mungedC. That it is only cleanedD. That it is stored in a Data LakeE. That it is delivered as a spreadsheet
7. How does Data Discovery differ across roles?
Question 7A. It is identical for every role in the organisationB. It only applies to Data ScientistsC. It only applies to C-level executivesD. It applies only to IT staffE. It is different for Data Scientists, Data Analysts, Business End Users and C-level
8. With which discipline is Data Discovery usually associated?
Question 8A. Business IntelligenceB. Network securityC. Software testingD. Payroll processingE. Physical data modelling
9. How does Data Discovery help inform business decisions?
Question 9A. By deleting siloed data sourcesB. By restricting analysis to a single sourceC. By bringing together disparate, siloed data sources to be analysedD. By replacing analysis with intuitionE. By outsourcing analysis to consultants
10. Why can understanding trends and patterns NOT simply be done on data straight from source systems?
Question 10A. Because source systems are always offlineB. Because trends only exist in Data LakesC. Because end users are not allowed to see source dataD. Because source data can contain nulls, inconsistent formats, mistakes, differing codes and duplicates that must be streamlined firstE. Because source data is always encrypted