Hype Cycle forData Management — Learn free

Self-check

Questions 1–10 of 10

1. How is the difference between the Hype Cycle for Data Management and Data Management itself explained?
Question 1A. One is about hardware and the other about softwareB. One is about the past and the other about the presentC. One is about a solution and the other about the enterpriseD. One is about cost and the other about qualityE. There is no difference; the terms are interchangeable
2. What is the Hype Cycle for Data Management about?
Question 2A. Knowing the pattern of technologies: how past tools performed and which new technologies are in trendB. Measuring the quality of data held in enterprise systemsC. Scheduling backups for critical databasesD. Defining the roles and responsibilities of data ownersE. Balancing data evenly across cluster nodes
3. How does the Hype Cycle for Data Management assist an organisation?
Question 3A. By automating data cleansingB. By generating financial statementsC. By replacing the need for a data strategyD. By enforcing data security policiesE. By helping it plan its technology roadmap
4. Which decisions does the Hype Cycle for Data Management help an organisation take?
Question 4A. Which employees to promoteB. Which tools and technologies to adopt and which not to adoptC. Which customers to retainD. Which data to archive and which to deleteE. Which regulations apply to its data
5. Which companies are named as examples of what can happen to organisations reluctant to adopt new technologies?
Question 5A. Amazon and GoogleB. Microsoft and AppleC. Toyota and FordD. Kodak and NokiaE. Slack and Zoom
6. With whom are Hype Cycle statistics for Data Management typically shared?
Question 6A. CTOs, CDOs, CFOs and CEOsB. Junior developers and testersC. External customersD. Regulators onlyE. Database administrators only
7. Which of these is NOT described as a purpose of the Hype Cycle for Data Management?
Question 7A. Planning the technology roadmapB. Deciding which technologies to adoptC. Measuring the data quality of an existing databaseD. Knowing which new technologies are in trendE. Learning how past tools and technologies performed
8. Who prepares the statistics that make up a Hype Cycle for Data Management?
Question 8A. Each organisation's own database teamB. Government regulatorsC. The vendors of the technologies being ratedD. Individual end usersE. Many companies that prepare such statistics and share them with executives
9. What outcome is warned of for organisations that are reluctant to adopt new technologies?
Question 9A. They save money and outperform competitorsB. They can end up like Kodak and NokiaC. They are fined by regulatorsD. They lose their data to corruptionE. They must move to the cloud immediately
10. Which statement about the Hype Cycle for Data Management is correct?
Question 10A. It is another name for Data ManagementB. It is a tool for backing up enterprise dataC. It is only relevant to Data Science teamsD. It is distinct from Data Management, although the two are often confusedE. It describes how to build a Data Warehouse