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Rapid Recall 62–91

  1. Name the five DQ Operations sub-activities.
  2. What does Manage DQ Rules include?
  3. What are the two levels of DQ measurement results?
  4. Name six characteristics of an effective metric.
  5. What is a positive conformance metric?
  6. What is an exception/invalid metric?
  7. What is profiling?
  8. Why is profiling not enough by itself?
  9. Name the key elements of issue management.
  10. What determines escalation?
  11. What should diagnosis do?
  12. What remediation options can be considered?
  13. What does a DQ SLA contain?
  14. Name the main Data Quality Response reports.
  15. Name the six tool families.
  16. Parsing vs Standardization?
  17. What is Data Enrichment?
  18. Name five RCA techniques listed.
  19. Name the three correction modes.
  20. What makes manually-directed correction distinctive?
  21. Why are direct production manual patches discouraged?
  22. What implementation approach does DAMA usually favor?
  23. Name four readiness-assessment characteristics.
  24. Name three cultural mindsets to change.
  25. How does Metadata Management support DQ?
  26. How do Master and Reference Data support DQ?
  27. Why are integration points important for DQ?
  28. How does Data Governance accelerate DQ?
  29. What is the Chapter 13 purpose of ISO 8000?
  30. What is SPC trying to detect?

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