Data Citizens — Learn free

Self-check

Questions 1–10 of 10

1. Why are around 80% of Data Science projects said to be failing?
Question 1A. Because of poor hardwareB. Because of a lack of structured dataC. Because of the absence of Data Citizen rolesD. Because Data Scientists lack SQL skillsE. Because of insufficient budgets
2. Which skill set characterises a Data Analyst?
Question 2A. Excel, databases using SQL, reports and dashboardsB. Deep learning frameworks and GPU programmingC. Infrastructure provisioning and CI/CDD. Network security and encryptionE. Drag-and-drop machine learning tools
3. To whom are a Data Analyst's analysis results passed for productionisation of data pipelines?
Question 3A. Data ScientistsB. Data CitizensC. Chief Data OfficersD. Business managersE. ETL/ELT developers or Data Engineers
4. What kind of tools do Data Citizens use to create, test and process machine learning models?
Question 4A. Hand-written Java frameworksB. Drag-and-drop, low-code or no-code toolsC. Command-line ETL utilitiesD. Mainframe job schedulersE. Custom-built deep learning libraries
5. To whom do Data Citizens pass their models so they can be implemented for production?
Question 5A. Data AnalystsB. ETL developersC. Department headsD. Data ScientistsE. Data Engineers
6. Data Citizens are described as a bridge between which two roles?
Question 6A. Data Engineers and Chief Data OfficersB. Data Analysts and Data ScientistsC. Business users and IT supportD. Data Scientists and DevOps engineersE. Data Analysts and Data Engineers
7. Which existing role is predicted to merge into the Data Citizen role?
Question 7A. Data ScientistB. Data EngineerC. Chief Data OfficerD. Database AdministratorE. Data Analyst
8. At what level within an organisation do Data Citizens operate?
Question 8A. At the domain or department levelB. Only within the central IT functionC. At board levelD. Only within the Data Science teamE. Across the whole enterprise without departmental boundaries
9. What trend in data usage is given as the reason Data Analyst roles will merge into Data Citizens?
Question 9A. The decline of dashboardsB. The rise of mainframe computingC. The removal of SQL from most databasesD. The use of semi-structured and unstructured data has taken over the use of structured dataE. The fall in the cost of Data Scientists
10. Which statement about Data Citizens is NOT correct?
Question 10A. They are functional consultants with machine learning skill setsB. They can do the activities a Data Scientist does, within their departmentC. They are already an established norm in every departmentD. They predict KPIs for business and management using ML modelsE. They use low-code or no-code tools to run and test models