Data Matching and Linking — Learn free

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Questions 1–10 of 10

1. What is Data Matching and Linking about?
Question 1A. Encrypting records before they are sharedB. Matching and linking datasets across systems to find out which is the best record to link withC. Summarising records into totalsD. Reducing the number of rows returned by a queryE. Converting semi-structured formats into one format
2. Which Master Data Management outcome is given as a use case for Data Matching and Linking?
Question 2A. Generating a Golden RecordB. Building a landing zoneC. Creating a data islandD. Producing a canned reportE. Training a machine learning model
3. Is Data Matching and Linking a manual process?
Question 3A. Yes, it is done by data analysts reviewing recordsB. Yes, but only for small datasetsC. No, it uses complex software with complex algorithms to find the right dataD. No, it is done by the customers themselvesE. It depends on the department
4. In the customer onboarding example, why is Data Matching and Linking needed?
Question 4A. Because customers forget their passwordsB. Because the same customer may register two or three times via Online, Customer Service Centre or Branch channelsC. Because branches are in different citiesD. Because customer data must be encryptedE. Because the CRM system cannot store addresses
5. Which type of Data Matching and Linking matches exact fields such as National ID, Social Security Number or passport number?
Question 5A. ProbabilisticB. ML AssociationC. ReferentialD. HeuristicE. Fuzzy
6. Which type of Data Matching and Linking uses multiple fields such as name, date of birth and parents' names?
Question 6A. ReferentialB. DeterministicC. ML AssociationD. ProbabilisticE. Manual
7. What is ML Association in Data Matching and Linking?
Question 7A. Matching on an exact national identifierB. Matching on multiple demographic fieldsC. A report listing duplicate recordsD. A committee that approves matchesE. Machine learning searching for matching data elements to link
8. Which of the following is NOT listed as a benefit of Data Matching and Linking?
Question 8A. Generate Golden Records for downstream systemsB. Rise data accuracyC. Polish customer segmentationD. Reduce cloud compute costsE. Systematise scam stoppage
9. Which benefit of Data Matching and Linking relates to regulatory obligations?
Question 9A. Guarantee healthier complianceB. Improve perceptionsC. Have a high quality datasetD. Formulate data for end usersE. Polish customer segmentation
10. What are the three types of Data Matching and Linking?
Question 10A. Full, Partial and HybridB. Scalar, Hierarchy and LevelC. Sudden, Gradual and IncrementalD. Landing, Staging and TransformedE. Referential, Probabilistic and ML Association