Data Standardization — Learn free

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Questions 1–10 of 10

1. What does Data Standardisation mean?
Question 1A. Converting data into a format that is accessible, usable, readable and actionableB. Reducing the number of rows in a query resultC. Replacing real data with synthetic valuesD. Summarising detail into totalsE. Isolating data so only one team can see it
2. At which two levels can Data Standardisation be imposed?
Question 2A. Network level and application levelB. Data level and data store levelC. Cloud level and on-premises levelD. Row level and column levelE. Project level and programme level
3. Which of the following is NOT listed as an effect of Data Standardisation?
Question 3A. Reduces manual effortB. Removes duplicationsC. Enforces data governanceD. Increases the number of data silosE. Enables segmentation
4. What is the first of the listed steps for Data Standardisation?
Question 4A. Outline the data standardsB. Recognise data entry pointsC. Know your data and what it is required forD. Standardise your data with the help of data scoringE. Create quality gates
5. Which technique is named in the final step of Data Standardisation?
Question 5A. Data maskingB. Data scoringC. Data swappingD. Data encryptionE. Data vectorisation
6. Which example illustrates a Data Standardisation approach for semi-structured data?
Question 6A. Converting all dates into a single formatB. Sorting a database on requirementsC. Translating data from different languages into EnglishD. Exposing data as reports and dashboardsE. Converting JSON and XML into one readable format
7. Which Data Standardisation approach relies on an MDM system?
Question 7A. Data pipeline processing at one given timeB. Converting video and audio into a readable formatC. Having Gold RecordsD. Enriching metadataE. Converting dates into a single format
8. Which of these is listed as a benefit of Data Standardisation?
Question 8A. Better Data LineageB. Lower cloud costsC. Fewer employeesD. Faster procurement cyclesE. More synthetic data
9. What do the 'quality gates' created during Data Standardisation indicate?
Question 9A. The cost of each queryB. The number of cores availableC. The owner of each tableD. Freshness and anomalyE. The project deadline
10. Into which structures can data from all relevant source systems be brought as a Data Standardisation approach?
Question 10A. Floppy drives and hard disksB. Separate development instances per teamC. A password inventoryD. Individual spreadsheets per departmentE. A Unified Data Model in a Data Warehouse, a Star or Snowflake schema, a Semantic Layer or a multi-dimensional Cube