Ontology-DrivenData Integration andHarmonization

Self-check

Questions 1–10 of 10

1. What is the role of ontology in data integration and harmonisation?
Question 1A. To encrypt data in transit between systemsB. To describe structure and relations, enabling a coherent structure for data across systems, functions and domainsC. To schedule batch data pipelinesD. To replace all databases with a single systemE. To store backups of source data
2. What do ontologies in data management involve?
Question 2A. A list of servers and their IP addressesB. A set of SQL scripts for loading tablesC. A shared vocabulary and a set of relationships and rules to model a domainD. A schedule of data refreshesE. A directory of user permissions
3. Why is a new, ontological approach to data integration said to be needed?
Question 3A. Because cloud storage has become too expensiveB. Because regulators require ontologiesC. Because point-to-point integrations are no longer possibleD. Because the cost of maintaining point-to-point integrations and running specific data pipelines is growingE. Because databases can no longer store relationships
4. What is meant by semantic discrepancies as a data integration challenge?
Question 4A. Data sources using different file formatsB. Network delays between systemsC. Missing primary keys in tablesD. Duplicate rows in a datasetE. Different interpretations of data across systems leading to inconsistencies and misunderstandings
5. What does semantic harmonisation ensure in ontology-driven integration?
Question 5A. That the meaning of data remains consistent across different systemsB. That all data is stored in the same physical databaseC. That every table uses the same column countD. That data pipelines run at the same timeE. That data is compressed uniformly
6. On the make-or-buy question for an ontology, what is the recommendation?
Question 6A. Buy a generic industry ontology and use it unchangedB. The ontology needs to be made and developed specifically for each organisationC. Use whichever ontology the database vendor providesD. Avoid ontologies and rely on point-to-point mappingsE. Buy first, then discard it after a year
7. What does the harmonisation process involve?
Question 7A. Deleting data that does not fit the target formatB. Migrating all systems to the cloudC. Clarifying differences in data structures, formats and semantics to provide consistent, coherent semantics across the organisationD. Replacing subject matter experts with automated toolsE. Encrypting all disparate sources
8. Which of the following is listed as a benefit of ontology-driven integration and harmonisation?
Question 8A. Lower hardware costs for serversB. Elimination of the need for data governanceC. Faster network bandwidthD. Better decision-making because unified data leads to clearer insightsE. Automatic compliance with all regulations
9. What recommendation is given for dealing with the complexity of ontology design?
Question 9A. Outsource the design entirelyB. Design the complete ontology before any useC. Limit the ontology to a single domain foreverD. Skip the conceptual stageE. Build it step by step rather than attempting a big-bang approach
10. Why do ontologies require ongoing maintenance?
Question 10A. They need continuous updates and governance to remain relevant and usefulB. They expire under software licensing termsC. They must be rebuilt after every database restartD. They lose data when systems are backed upE. They are stored only in memory