DAMA DQ-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Quality Frameworks and Standards | 20% | - DAMA DMBOK Framework - ISO 8000 (Data Quality) - Other Industry Standards |
| Topic 2: Data Quality Governance | 15% | - Data Quality Roles and Responsibilities - Policies and Procedures - Data Stewardship - Continuous Monitoring |
| Topic 3: Data Quality Assessment and Measurement | 25% | - Root Cause Analysis - Metrics and KPIs - Profiling Techniques - Benchmarking |
| Topic 4: Data Quality Improvement | 20% | - Validation Rules - Data Cleansing Techniques - Standardization - Data Enrichment |
| Topic 5: Data Quality Fundamentals | 20% | - Definition of Data Quality - Data Quality in the Data Lifecycle - Dimensions of Data Quality (completeness, accuracy, consistency, timeliness, validity) |
DAMA Data Quality Sample Questions:
Question #1
An MDM hub receives three customer records that have been confirmed to represent the same person. Before creating the mastered representation, what process determines which source values should populate each attribute?
A. Archiving
B. Partitioning
C. Survivorship
D. Encryption
Question #2
A security mechanism that searches for customer bank account details in outgoing emails is achieving the goal of:
A. Ensuring stakeholder requirements for confidentiality and privacy are met
B. Ensuring stakeholder requirements for concise definitions and usage are met
C. Ensuring stakeholder requirements for openness and transparency are met
D. Ensuring stakeholder requirements for service design and experience are met
E. Ensuring stakeholder requirements for response time and availability levels are met
Question #3
The Data Architecture workstream on results produces:
A. Interaction with the enterprise data architecture group
B. Data architecture artefects within a overall roadmap
C. Selection of the data architecture framework
D. Assignment of accountability and responsibilities
E. A change in behaviour
Question #4
A data lake and a data warehouse are the same concepts in so far as:
A. They are both concerned with using different forms of data governance
B. They are not related in any way
C. They are both concerned with producing star schemas and dimensional data models
D. They are both concerned with preparing data for reporting and analytics
E. They are both concerned with duplicating all the operational data
Question #5
The DAMA Wheel contains:
A. Data management processes
B. Knowledge areas
C. Data management deliverables
D. Data strategy initiatives
E. Maturity model dimensions
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: A | Question #3 Correct Answer: B | Question #4 Correct Answer: D | Question #5 Correct Answer: B |
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