Um die DAMA DQ-1220 Zertifizierungsprüfung zu bestehen, wählen Sie doch unseren ZertPruefung. Sie werden sicher nicht bereuen, dass Sie mit so wenigem Geld die Prüfung bestehen können. Unser ZertPruefung wird Ihnen helfen, sich auf die Prüfung gut vorzubereiten und die DAMA DQ-1220 Zertifizierungsprüfung (Data Quality) erfolgreich zu bestehen. Außerdem bieten wir Ihnen kostenlos einen einjährigen Update-Service.
| Certification Vendor: | DAMA International |
|---|---|
| Exam Name: | Data Quality |
| Exam Number: | DQ-1220 |
| Exam Price: | USD $400 (Full CDMP exam) |
| Passing Score: | 70% |
| Exam Duration: | 60 minutes |
| Available Languages: | English |
| Real Exam Qty: | 80 |
| Exam Format: | Multiple Choice |
| Related Certifications: | CDMP - Certified Data Management Professional |
| Certificate Validity Period: | No expiration for CDMP certificate (requires continuing education/renewal credits) |
| Sample Questions: | DAMA DQ-1220 Sample Questions |
| Exam Way: | Online proctored or Onsite testing center |
| Pre Condition: | No formal prerequisites; recommended experience in data management |
| Official Syllabus URL: | https://dama.org/certification/ |
Qualitativ hochwertige DQ-1220 Prüfungsunterlagen. Gehen Sie einen entscheidenden Schritt weiter. Mit der DAMA DQ-1220 Zertifizierung erhalten Sie einen Nachweis Ihrer besonderen Qualifikationen und eine Anerkennung für Ihr technisches Fachwissen. DAMA bietet eine Reihe verschiedener Zertifizierungsprogramme für professionelle Benutzer an. Untersuchungen haben gezeigt, dass zertifizierte Fachleute häufig mehr verdienen können als ihre Kollegen ohne Zertifizierung.
Die DAMA DQ-1220-Zertifizierungsprüfung soll das Wissen und die Fähigkeiten einer Person im Bereich der Datenqualität testen. Diese Zertifizierung wird von der Data Management Association International (DAMA) angeboten, einer gemeinnützigen Organisation, die Bildung und Ressourcen für Datenmanagementfachleute anbietet. Die Prüfung umfasst eine Reihe von Themen, die sich auf die Datenqualität beziehen, einschließlich Datenprofilerierung, Datenreinigung, Datenverwaltung und Datenintegration.
Die DAMA DQ-1220-Zertifizierungsprüfung (Datenqualität) ist eine branchenbezogene Zertifizierung, die das Wissen und das Verständnis einer Person über Datenqualitätskonzepte, Best Practices und Methoden validiert. Die Prüfung soll die Fähigkeit des Kandidaten testen, die Datenqualität in einer Organisation zu verwalten und zu verwalten und sicherzustellen, dass die Daten korrekt, konsistent, vollständig und zeitnah sind.
109. Frage
A Data Quality process has remained within statistical control limits for six months, but management wants the average defect rate reduced further. What is the most appropriate conclusion?
Antwort: A
Begründung:
A process can be statistically stable yet still perform at an unacceptable quality level. Statistical control means that variation is predictable within the established process; it does not mean that the average level of defects satisfies business expectations.
For example, a process may consistently produce a 3% defect rate with very little month-to-month variation.
If the business requirement is below 0.5%, the process is stable but incapable of meeting the desired quality level without improvement.
The appropriate response is therefore deliberate process improvement aimed at changing the underlying process and reducing its baseline defect rate. This differs from reacting to random individual observations within normal control limits.
After improvement, new performance data should be collected and control parameters reevaluated once the revised process reaches a stable state.
DAMA's revised Chapter 13 explicitly maps Shewhart and Deming improvement-cycle stages to Data Quality processes and preserves Statistical Process Control as supporting material.
The central principle is that control and capability are different questions: control asks whether the process is stable; business quality requirements determine whether that stable performance is good enough.
Reference Topics: DAMA-DMBOK2 Chapter 13 - Statistical Process Control; Process Stability; Continuous Improvement; Shewhart/Deming Cycle; Thresholds.
110. Frage
A form permits users to enter any text into a field that should contain an ISO country code. What is the strongest preventive Data Quality control?
Antwort: B
Begründung:
The strongest preventive control is to restrict data entry to the approved country-code domain. Prevention at the point of creation is generally more effective and less costly than repeatedly correcting invalid values downstream.
A controlled drop-down list, validated API, or reference-domain lookup ensures that users can select only permitted codes. This directly supports Validity and improves Consistency across applications.
The rule should be linked to centrally governed Reference Data rather than hard-coded independently in each application. That allows changes to the permitted domain to be managed systematically.
Downstream cleansing remains useful for historical defects or external data, but it should not be the primary control when the organization controls the source-entry process.
DAMA's framework links Reference/Master Data Management to consistency of shared values and Chapter
13 to defining and monitoring Data Quality controls.
Reference Topics: DAMA-DMBOK2 Chapter 13 - Preventive Controls; Validity; Data Creation; Chapter
10 - Reference Data; Controlled Domains.
111. Frage
The implementation of data architecture exposes the transformation of data as it moves across the landscape.
A common name for this concept is:
Antwort: E
Begründung:
The concept described is Data Lineage. Data lineage records how data originates, moves, transforms, and is consumed across the information landscape. DAMA-oriented architecture guidance explicitly links implementation of Data Architecture with visibility into transformations occurring as data traverses systems and identifies this as lineage.
Lineage can operate at several levels. At a high level, it may identify that customer information moves from CRM into an integration platform, Master Data hub, warehouse, and reporting environment. At a detailed level, it may show that a particular report column derives from a specific source attribute through documented calculations, mappings, and transformation rules.
This capability is fundamental to Data Quality. When an incorrect result appears in a report, lineage helps analysts trace the defect upstream to the point where it originated or was introduced. It also supports root- cause analysis, impact assessment, regulatory traceability, change management, and reconciliation.
Metadata Management provides the repository structures needed to capture and maintain lineage. Data Governance determines which lineage must be documented and who is accountable for maintaining it.
ETL is one mechanism through which data may move and transform, but ETL is not the architectural concept describing the end-to-end history and derivation of the data.
Reference Topics: DAMA-DMBOK2 Chapter 4 - Data Architecture; Chapter 11 - Metadata Management; Data Lineage; Chapter 13 - Root-Cause Analysis and Data Quality Traceability.
112. Frage
Which DMBoK knowledge area is most likely responsible for a high percentage of returned mail?
Antwort: A
Begründung:
A high percentage of returned mail is primarily a Data Quality problem. Returned correspondence frequently results from inaccurate, incomplete, obsolete, incorrectly formatted, or otherwise unusable address data. The operational symptom therefore indicates that address information is failing to meet its intended business purpose.
Published versions of this DAMA question identify Data Quality as the intended knowledge area. The underlying principle aligns directly with DMBOK2 Chapter 13: quality is assessed relative to the requirements of the business process consuming the data.
Several quality dimensions may contribute. Accuracy concerns whether the address correctly represents the customer's actual location. Completeness concerns missing apartment numbers, postal codes, or address components. Validity evaluates whether values conform to accepted formats and domains. Currency addresses whether a previously correct address has become obsolete. Consistency can also be involved where address information differs between systems.
Reference and Master Data Management may provide customer-master consolidation and standardized geographic reference values, but the direct defect represented by returned mail is poor-quality address data.
A mature response should involve profiling returned-mail records, determining defect patterns and root causes, establishing address-quality rules, correcting affected records, and introducing preventive validation at capture.
Reference Topics: DAMA-DMBOK2 Chapter 13 - Fitness for Purpose; Accuracy; Completeness; Validity; Currency; Profiling; Root-Cause Analysis.
113. Frage
A company requires every system to use the same ISO country-code list managed centrally. This is primarily an example of:
Antwort: C
Begründung:
This is Reference Data Management. Country codes represent a controlled set of values used to classify or contextualize other data. Managing them centrally helps ensure that all systems interpret the same codes consistently.
Without centralized governance, one system might use GB, another UK, and another proprietary numeric values. Those differences create mapping complexity, failed integrations, inaccurate aggregation, and inconsistent reporting.
Reference Data Management establishes authoritative sources, stewardship, allowed values, mappings, effective dates, distribution processes, and change control. DAMA's public framework describes Reference and Master Data Management as ensuring consistency in core shared information across organizational units.
The Data Quality dimensions most directly supported are Validity and Consistency. Validity ensures values belong to an approved domain; consistency ensures equivalent concepts are represented compatibly across systems.
Metadata should document the standard, meaning, owner, and version of each reference domain.
Reference Topics: DAMA-DMBOK2 Chapter 10 - Reference Data; Controlled Code Sets; Authoritative Sources; Chapter 13 - Validity and Consistency.
114. Frage
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DQ-1220 Quizfragen Und Antworten: https://www.zertpruefung.ch/DQ-1220_exam.html