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DAMA DQ-1220 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Quality Fundamentals | - Definition of Data Quality - Data Quality Dimensions (Accuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness) |
| Data Quality Improvement | - Root Cause Analysis - Data Cleansing Methods |
| Data Quality Operations | - Monitoring and Reporting - Data Quality Tools and Technologies |
| Data Quality Management | - Data Quality Governance - Roles and Responsibilities (Data Stewardship) |
| Data Quality Assessment | - Data Profiling Techniques - Data Quality Metrics and KPIs |
DAMA Data Quality Sample Questions:
Question #1
An Orders table contains an order whose Customer_ID does not exist in the Customer table. Which Data Quality dimension is most directly violated?
A. Completeness
B. Integrity
C. Currency
D. Reasonableness
Question #2
Reference data is often a list of code values with their full names. One example is:
A. State or province associated with the related country
B. Country codes associated with the country names
C. Master data values encoded into reference values
D. Encrypted code values with the unencrypted data value
E. Person age associated with accessibility requirements
Question #3
A minimal super key is:
A. Also known as a candidate key, it is a superkey without duplicated attributes.
B. A type of advanced index key structure, in the same family as Hash, Heap, B-Tree and Inverted.
C. Any set of attributes without duplicates that uniquely identifies an entity instance.
D. A synonym for a surrogate key.
E. Any set of attributes where each attribute that makes up the key is a foreign key in its own right.
F. An artificial key, made up of several meaningful components to help the reader understand the nature of the entity from the key alone.
Question #4
Well executed metadata management enables:
A. A consistent design for dimensional reporting
B. A consistent understanding of data resources
C. A consistent authorization framework
D. A consistent approach to data modelling
E. A consistent understanding of database design
Question #5
The ethics of data handling, center on several core concepts. They are:
A. Access to data, potential for misuse and storage cost
B. Impact on people, potential for misuse and economic value
C. Impact on people, potential for re-use and storage cost
D. Privacy, security and authorization
E. Accurate business glossary, data quality and reference data
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: A | Question #4 Correct Answer: B | Question #5 Correct Answer: B |
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