Data Quality (DQ) — Learn free

Self-check

Questions 1–10 of 10

1. How is Data Quality defined in one line?
Question 1A. When data is stored in the CloudB. When we compare data against Business RulesC. When data is encryptedD. When data has a primary keyE. When data is loaded on time
2. How many dimensions of Data Quality are described?
Question 2A. FourB. FiveC. SixD. SevenE. Eight
3. On what does the Accuracy dimension of Data Quality depend?
Question 3A. Traceability through data lineageB. The number of rows in a tableC. The speed of the networkD. The file formatE. The number of users
4. What does Completeness mean as a Data Quality dimension?
Question 4A. Having every possible piece of dataB. Having data in a consistent formatC. Having no duplicate recordsD. Having data arrive on timeE. Ensuring critical attributes exist to fulfil KPIs or regulatory needs
5. A customer's birthdate appearing in three different formats across platforms is a failure of which dimension?
Question 5A. UniquenessB. TimelinessC. ConsistencyD. CompletenessE. Accuracy
6. Which dimension is violated by duplicate customer IDs or accounts?
Question 6A. ValidityB. TimelinessC. AccuracyD. UniquenessE. Completeness
7. What is the difference between Data Quality and Data Quality Management (DQM)?
Question 7A. There is no differenceB. DQM is only for cloud dataC. DQM is the state; Data Quality is the disciplineD. Data Quality applies to structured data; DQM to unstructuredE. Data Quality is the state; DQM is the discipline of processes and controls that achieve and sustain it
8. Which method to improve Data Quality identifies and merges duplicate records?
Question 8A. ProfilingB. StandardisationC. GeocodingD. Matching and LinkingE. Continuous Monitoring
9. What is the correct order of the Data Quality Life Cycle?
Question 9A. Correct, Detect, Investigate, Analyse, SustainB. Detect, Investigate, Analyse, Correct, SustainC. Analyse, Detect, Correct, Investigate, SustainD. Sustain, Detect, Analyse, Investigate, CorrectE. Investigate, Detect, Correct, Sustain, Analyse
10. Which statement about the cost of poor Data Quality is made?
Question 10A. Bad data costs more than no data at allB. Bad data is always better than no dataC. Bad data has no cost if it is stored cheaplyD. Poor data quality only affects reportsE. Poor data quality cannot lead to regulatory fines