DAMA DQ-1220 Questions & Answers - in .pdf
- Total Q&A: 123
- Update: Oct 08, 2026
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- Vendor: DAMA
- Exam Code: DQ-1220
- Exam Name: Data Quality
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DAMA DQ-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Data Quality Fundamentals | 20% | - Dimensions of Data Quality (completeness, accuracy, consistency, timeliness, validity)
- Data Quality in the Data Lifecycle
- Definition of Data Quality
|
| Topic 2: Data Quality Frameworks and Standards | 20% | - ISO 8000 (Data Quality)
- DAMA DMBOK Framework
- Other Industry Standards
|
| Topic 3: Data Quality Assessment and Measurement | 25% | - Metrics and KPIs
- Root Cause Analysis
- Profiling Techniques
- Benchmarking
|
| Topic 4: Data Quality Governance | 15% | - Data Quality Roles and Responsibilities
- Data Stewardship
- Continuous Monitoring
- Policies and Procedures
|
| Topic 5: Data Quality Improvement | 20% | - Validation Rules
- Data Cleansing Techniques
- Standardization
- Data Enrichment
|
DAMA Data Quality Sample Questions:
Question #1
The implementation of a 'Master Data Repository', which is integrated across the enterprise, is an example of which integration approach?
A. Point to Point
B. Publish and Subscribe
C. Hub and Spoke
D. Change Data Capture
E. Replication
Question #2
The best way to manage a data architecture roadmap is by using:
A. Peer reviews
B. An annual review
C. Results evaluation
D. Integrated strategic reviews
E. Senior management buy-in
Question #3
Data Staging areas are populated from source databases using extract functions, transformed and then:
A. Made ready for metrics calculations and key performance indicators
B. Made ready with advanced profiling and reported into a visualisation tool
C. Made ready and loaded into the data warehouse
D. Made ready for review by a data modeller, for physical modelling
E. Made ready for metadata repository loading
Question #4
What is Data Stewardship?
A. A prioritized program of work with scoped boundaries
B. A collection of tools that ensure an organization's privacy policy
C. Refers to the role responsible for creating policies, procedures, and rules that govern data in the organization
D. The creation of compelling vision for Data Management across the enterprise
E. A position accountable and responsible for data and processes that ensure effective control and use of data assets
Question #5
Which of the following is a directive that codifies principles and management intent into fundamental rules governing the creation, acquisition, integrity, security, quality, and use of data and information?
A. Data asset valuation
B. Data policies
C. Data Management
D. Data Governance
E. Data audit principle
Solutions:
Question #1 Correct Answer: C | Question #2 Correct Answer: D | Question #3 Correct Answer: C | Question #4 Correct Answer: E | Question #5 Correct Answer: B |
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