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DAMA DQ-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Quality Assessment and Profiling | 25% | - Defining quality rules and metrics - Assessment methods and tools - Data profiling techniques |
| Data Quality Concepts and Principles | 15% | - Data quality in DMBOK framework - Data quality dimensions - Definition and importance of data quality |
| Data Quality Improvement | 20% | - Monitoring and continuous improvement - Data cleansing and standardization - Root cause analysis |
| Data Quality Strategy and Governance | 20% | - Data quality strategy and policy - Roles and responsibilities - Integration with data governance |
| Tools, Techniques and Implementation | 20% | - Business value and ROI - Data quality in lifecycle management - Data quality tools and technologies |
DAMA Data Quality Sample Questions:
Examples of transformation include:
- A. Application changes, infrastructure changes, software conversion, de-duplication and re-ordering
- B. Data modelling changes, structure changes, metric conversion, de-duplication and reordering
- C. Format changes, structure changes, replication conversion, re-duplication and data ordering
- D. Organisation changes, location changes, business strategy conversion, down-sizing and outsourcing
- E. Format changes, structure changes, semantic conversion, de-duplication and re-ordering
Correct Answer: E 🗳️
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A Data Quality rule has been implemented and the defect rate has fallen below the agreed threshold. What activity should continue?
- A. Deleting the rule
- B. Removing the steward
- C. Monitoring the metric for sustained performance
- D. Discontinuing all profiling
Correct Answer: C 🗳️
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A data lake and a data warehouse are the same concepts in so far as:
- A. They are not related in any way
- B. They are both concerned with using different forms of data governance
- C. They are both concerned with duplicating all the operational data
- D. They are both concerned with preparing data for reporting and analytics
- E. They are both concerned with producing star schemas and dimensional data models
Correct Answer: D 🗳️
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A relationship that allows an address to be used by multiple people, and each person can have multiple addresses, can be resolved:
- A. By changing the primary keys on Person and Address to ensure referential integrity
- B. By changing the role names of the foreign keys on Person and Address to ensure referential integrity
- C. With an associative entity called Person Address Usage and two, 'one to many' relationships
- D. With a partnership entity called Person Address Usage and two, 'one to many' relationships
- E. With an additional relationship describing the address usage
Correct Answer: C 🗳️
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Who should normally define the business meaning and acceptable quality requirements for a critical customer attribute?
- A. The database optimizer alone
- B. The network administrator alone
- C. A Business Data Steward working with relevant stakeholders
- D. The backup operator alone
Correct Answer: C 🗳️
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