Some people want to study on the computer, but some people prefer to study by their mobile phone. Whether you are which kind of people, we can meet your requirements. Because our DQ-1220 study torrent can support almost any electronic device, including iPod, mobile phone, and computer and so on. If you choose to buy our Data Quality guide torrent, you will have the opportunity to use our study materials by any electronic equipment when you are at home or other places. We believe that our DQ-1220 Test Torrent can help you improve yourself and make progress beyond your imagination. If you buy our DQ-1220 study torrent, we can make sure that our study materials will not be let you down.
| Section | Weight | Objectives |
|---|---|---|
| Tools, Techniques and Implementation | 20% | - Business value and ROI - Data quality in lifecycle management - Data quality tools and technologies |
| Data Quality Strategy and Governance | 20% | - Roles and responsibilities - Data quality strategy and policy - Integration with data governance |
| Data Quality Concepts and Principles | 15% | - Data quality in DMBOK framework - Definition and importance of data quality - Data quality dimensions |
| Data Quality Improvement | 20% | - Root cause analysis - Data cleansing and standardization - Monitoring and continuous improvement |
| Data Quality Assessment and Profiling | 25% | - Assessment methods and tools - Defining quality rules and metrics - Data profiling techniques |
Are you still worried about not passing the DQ-1220 exam? Do you want to give up because of difficulties and pressure when reviewing? You may have experienced a lot of difficulties in preparing for the exam, but fortunately, you saw this message today because our well-developed DQ-1220 Study Materials will help you tide over all the difficulties. As a multinational company, our DQ-1220 study materials serve candidates from all over the world. No matter which country you are currently in, you can be helped by our DQ-1220 study materials.
NEW QUESTION # 73
The role of Metadata in Data Management is:
Answer: E
Explanation:
The broad role of Metadata is to help organizations understand their data, systems, and workflows. Metadata provides the context required to interpret data correctly and connect business meaning with technical implementation and operational processing. This answer is also explicitly identified in DAMA-oriented certification material.
Business metadata explains concepts, definitions, rules, ownership, stewardship, and terminology. Technical metadata describes tables, columns, datatypes, interfaces, transformations, and system structures. Operational metadata captures information about processing, execution, schedules, and usage. Together, these categories explain what information means, where it resides, how it moves, and how it is used.
Metadata can certainly improve decision-making, support Big Data solutions, group concepts, and assist reporting, but those are secondary outcomes. Option C expresses its enterprise-wide role most comprehensively.
Its connection to Data Quality is fundamental. Quality cannot be assessed consistently without metadata explaining the intended meaning and acceptable characteristics of a data element. Lineage allows a defect to be traced to its origin, while business definitions establish the context for accuracy and validity measurements.
Reference Topics: DAMA-DMBOK2 Metadata Management - Business, Technical and Operational Metadata; Data Lineage; Business Glossary; Chapter 13 - Data Quality Rules and Metadata Dependencies.
NEW QUESTION # 74
According to the ISO/IEC 42010:2007 Software and Systems Engineering -Architecture Description, which of the following describes the definition of architecture:
Answer: E
Explanation:
The correct definition is the fundamental organisation of a system, and the principles governing its design and evolution. DAMA-DMBOK2 incorporates the ISO/IEC 42010 architectural concept when establishing the theoretical basis for Data Architecture.
The fuller ISO formulation describes architecture in terms of the fundamental organization of a system embodied in its components, their relationships to one another and to the environment, together with the principles governing design and evolution. DAMA uses this concept to distinguish true architecture from a collection of diagrams or implementation specifications.
Option E is therefore incomplete: architectural artifacts document architecture, but the artifacts themselves are not the architecture. Option C focuses too narrowly on implementation and maintenance, while options B and D describe potential objectives or constraints rather than the definition.
Applied to enterprise data, this means architecture establishes the high-level organization of data assets, information flows, platforms, relationships, and guiding principles by which the data environment evolves.
Data Quality benefits because architectural principles establish where authoritative information originates, how it moves, how duplication is controlled, and where governance and quality controls must operate.
Reference Topics: DAMA-DMBOK2 Chapter 4 - Architecture Definition; ISO/IEC 42010; Enterprise Data Architecture; Architectural Principles; Chapter 13 - Quality by Design.
NEW QUESTION # 75
What is the purpose of Data Governance?
Answer: B
Explanation:
The precise DAMA-DMBOK2 purpose of Data Governance is to ensure that data is managed properly according to policies and best practices. DMBOK2 distinguishes this governance purpose from the broader objective of Data Management, which is concerned with obtaining value from data throughout its lifecycle.
Governance establishes the authority and control framework within which operational data-management functions work. This includes strategy, policy, standards, accountability, stewardship, compliance, issue escalation, quality oversight, and decision rights. DMBOK2 specifically identifies governance responsibilities involving policies for metadata, access, security and quality; setting Data Quality and Data Architecture standards; and providing oversight and corrective action.
This distinction is critical for Data Quality. Data Quality Management performs activities such as profiling, measurement, root-cause analysis, cleansing and monitoring. Data Governance determines who has authority, which requirements are mandatory, what thresholds are acceptable, which issues require escalation, and who owns remediation decisions.
Metadata Management supports governance by recording authoritative definitions, lineage, ownership and quality rules. Master Data Management operationalizes governance for shared business entities and reference domains.
Options B, C and D describe legitimate aspects of wider Data Management, but they do not state the specific purpose assigned to Data Governance by DMBOK2.
Reference Topics: DAMA-DMBOK2 Chapter 3 - Introduction; Goals and Principles; Governance Oversight; Chapter 13 - Data Quality and Governance.
NEW QUESTION # 76
A Data Quality rule has been implemented and the defect rate has fallen below the agreed threshold. What activity should continue?
Answer: D
Explanation:
The organization should continue monitoring the quality metric. A successful remediation does not guarantee that the underlying process will remain controlled indefinitely.
Systems change, source applications are upgraded, personnel and suppliers change, reference values evolve, interfaces are modified, and business rules are revised. Any of these events can cause previously corrected defects to reappear.
A mature Data Quality lifecycle therefore treats improvement as continuous rather than as a one-time cleansing exercise. DAMA's revision of Chapter 13 specifically clarifies the Data Quality Improvement Lifecycle and links it to established continuous-improvement cycles.
Monitoring should confirm that the result remains within agreed thresholds and should provide trend information so deterioration can be detected before it creates significant business impact.
The frequency of monitoring may be reduced after a process demonstrates sustained stability, but the decision should be risk-based. Critical Data Elements generally justify stronger ongoing oversight.
The rule, threshold, owner, and measurement method should remain documented as metadata.
Reference Topics: DAMA-DMBOK2 Chapter 13 - Monitoring; Control; Continuous Improvement; Metrics; Thresholds; Data Quality Scorecards.
NEW QUESTION # 77
The best way to manage a data architecture roadmap is by using:
Answer: A
Explanation:
Integrated strategic reviews provide the strongest mechanism for managing a Data Architecture roadmap because the roadmap must remain synchronized with enterprise strategy, business capability priorities, other architecture domains, projects, resources, and changing dependencies.
DAMA-DMBOK2 describes the Enterprise Data Architecture roadmap as the three-to-five-year path by which the target architecture becomes reality. Crucially, it states that this roadmap must be integrated into the overall Enterprise Architecture roadmap, including milestones, required resources, cost estimates, and business-capability workstreams. The roadmap should also reflect business requirements, current conditions, technical assessments, and organizational maturity.
This means roadmap management cannot sensibly be reduced to a once-a-year exercise. Strategic conditions, technology decisions, project sequencing, dependencies, and regulatory requirements may change throughout the roadmap period. Integrated reviews allow those changes to be evaluated in the context of the wider enterprise architecture rather than independently.
Senior-management support is necessary for authority and funding, while peer reviews and results evaluation are useful control activities. None, however, provides the same integrated strategic mechanism for keeping architectural direction aligned with enterprise priorities.
From a Data Quality perspective, such reviews also ensure that architecture changes preserve authoritative sources, lineage, integration controls, and enterprise quality requirements.
Reference Topics: DAMA-DMBOK2 Chapter 4 - Develop a Roadmap; Enterprise Architecture Integration; Data Dependencies; Lifecycle Reviews; Architecture Governance.
NEW QUESTION # 78
......
Learning at electronic devices does go against touching the actual study. Although our DQ-1220 exam dumps have been known as one of the world’s leading providers of DQ-1220 exam materials. For your convenience, we especially provide several demos for future reference and we promise not to charge you of any fee for those downloading. Therefore, we welcome you to download to try our DQ-1220 Exam. Then you will know whether it is suitable for you to use our DQ-1220 test questions. We are sure to be at your service if you have any downloading problems.
Latest DQ-1220 Guide Files: https://www.lead2passed.com/DAMA/DQ-1220-practice-exam-dumps.html