Data Integrity — Learn free

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Questions 1–10 of 10

1. How is the relationship between Data Quality and Data Integrity described?
Question 1A. Data Quality is one component that supplements Data Integrity alongside other componentsB. Data Quality and Data Integrity are two competing terms for the same ideaC. Data Integrity is one small component of Data QualityD. Data Quality replaces Data Integrity in modern organisationsE. Data Quality and Data Integrity are unrelated disciplines
2. From which point of view did the term Data Integrity originally come?
Question 2A. A marketing point of viewB. A security point of viewC. A storage-cost point of viewD. A visualisation point of viewE. A performance point of view
3. Which four components of Data Integrity are listed?
Question 3A. Encryption, Masking, Auditing and BackupB. Accuracy, Completeness, Consistency and TimelinessC. Data Integration, Data Quality, Location Intelligence and Data EnrichmentD. ETL, ELT, CDC and StreamingE. Confidentiality, Integrity, Availability and Privacy
4. What is Interoperability, as used in the discussion of Data Integration?
Question 4A. The process of removing duplicate records from a datasetB. The encryption of data while it moves between systemsC. The audit of results shared with regulatory bodiesD. The exchange of information between different systemsE. The addition of information that is not available in the source
5. Which approach is named as a major way to give uniqueness to entities coming from multiple sources?
Question 5A. Data ReplicationB. Change Data Capture (CDC)C. Data VisualisationD. Location IntelligenceE. Master Data Management (MDM)
6. Which approaches are described as the best way to prove an organisation's Data Integrity?
Question 6A. Data Lineage and Metadata ManagementB. Data Replication and StreamingC. Encryption and Access ManagementD. Data Enrichment and Location IntelligenceE. Graph databases and NoSQL
7. In the bank branch example of Location Intelligence, what decision might a decision-maker take on learning that customers travel from a location 10 km away?
Question 7A. Close the branch and merge it with a nearer oneB. Install an ATM near that location to offload cash withdrawal activities from the branchC. Increase the marketing budget for that branchD. Replace the branch's database with a graph databaseE. Send the customers' data to an external audit team
8. Which type of database is named as being used for Location Intelligence datasets?
Question 8A. Relational databases in third normal formB. Columnar data warehousesC. Graph databases (NoSQL)D. In-memory cachesE. Spreadsheet files
9. What does Data Enrichment mean as a component of Data Integrity?
Question 9A. Encrypting data so that it cannot be read by intrudersB. Removing inaccurate records before loading dataC. Copying data from one system to another without changeD. Adding information to the target datastore that is not available from the source, such as comparing marketing expense with customer feedback on social mediaE. Proving where data came from through lineage
10. Which of the following is NOT listed as a technique for achieving Data Integration?
Question 10A. ETLB. ELTC. Change Data Capture (CDC)D. Streaming Data IntegrationE. Database normalisation