METADATA MODELLING — Learn free

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Questions 1–10 of 10

1. What is Metadata Modelling?
Question 1A. The discipline of designing structured frameworks that describe data about dataB. The practice of encrypting sensitive columns in a warehouseC. The process of converting a logical model into physical tablesD. The design of star schemas for reportingE. The tuning of database indexes for performance
2. Which question does metadata modelling primarily answer about Loan data?
Question 2A. What does a Loan mean to the business?B. Where does the Loan data come from, who owns it and how often is it refreshed?C. How should Loan be related to Customer in an ontology?D. Which star schema best reports Loan performance?E. What interest rate should a Loan carry?
3. Which of the following is NOT listed as a descriptor that metadata modelling focuses on?
Question 3A. Refresh frequencyB. Sensitivity classificationC. Data ownership and stewardshipD. Lineage (upstream and downstream data flow)E. Customer purchasing behaviour
4. In the LoanApproval example from I Am Datapedia!, what is the refresh frequency captured in the metadata model?
Question 4A. HourlyB. Weekly on SundayC. Daily at 02:00 AMD. Monthly at month endE. Real time
5. Which sensitivity classification is given to the LoanApproval table in the banking example?
Question 5A. PublicB. Internal Use OnlyC. Restricted – Personal DataD. Confidential – Financial DataE. Top Secret
6. How does metadata modelling differ from an ontology?
Question 6A. Metadata modelling defines physical storage; ontologies define indexesB. Metadata modelling is for unstructured data; ontologies are for structured dataC. Metadata modelling replaces ontologies in regulated industriesD. Metadata modelling is used only by data scientists; ontologies only by auditorsE. Ontologies emphasise semantic meaning between concepts; metadata modelling emphasises management attributes of data assets
7. Why does metadata modelling play a critical role in regulated financial institutions?
Question 7A. Regulators often require clear lineage, ownership and traceability that can be explained during auditsB. Regulators require every table to be denormalisedC. It removes the need for a data stewardD. It automatically calculates capital adequacy ratiosE. It replaces the need for data quality checks
8. Which of these is described as a limitation of metadata modelling?
Question 8A. It cannot capture lineageB. It cannot record data ownershipC. It does not directly define business meaning and repositories need ongoing maintenanceD. It only works for on-premises databasesE. It prevents the creation of data catalogues
9. What can happen to a metadata system if governance becomes overly bureaucratic?
Question 9A. It becomes more accurateB. It automatically synchronises with source systemsC. It gains regulatory approval fasterD. It may lose usability and adoptionE. It converts into an ontology
10. According to I Am Datapedia!, what is a warehouse or lakehouse without metadata models?
Question 10A. A data martB. A black boxC. A semantic layerD. A feature storeE. An ontology