DAMA Certification Exams Pack
Everything from Basic, plus:
- Exam Name: DAMA Data Quality Specialist
- 121 Questions
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DAMA DQ-1220 - DAMA Data Quality Specialist
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Total Questions: 121
Free Practice Questions: 36
An address-validation service reports that 96% of customer addresses conform to an approved postal format. What does this metric demonstrate most directly?
Answer
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A
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Explanation
The metric demonstrates Validity because it measures whether address values conform to a defined format or standard. Validity checks whether data satisfies specified rules concerning datatype, pattern, permitted values, ranges, or structures. Postal formatting rules might require approved postcode structure, valid country-code syntax, or required address components. The metric does not prove that the address belongs to the correct customer. A perfectly formatted address may still be factually wrong. That would be an Accuracy problem. DAMA-aligned government guidance defines validity in terms of conformity to expected format, type, range, and other predefined rules. A mature address-quality program may combine validity with verification against authoritative postal reference data, duplication checks, completeness rules, and currency monitoring. Quality scorecards should therefore label the metric precisely rather than calling the result a generic "accuracy score." Reference Topics: DAMA-DMBOK2 Chapter 13 — Validity; Accuracy; Data Quality Metrics; Address Quality; Reference Data. =============== |
A Data Quality team has identified 500 defects across several domains. Which factor should have the strongest influence on remediation priority?
Answer
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B
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Explanation
Remediation should principally be prioritized according to business impact and risk. Not all defects have equivalent consequences, even when they occur at similar frequencies. A defect affecting regulatory reporting, customer payments, safety-critical operations, executive reporting, or high-value master data may require immediate remediation. A larger number of defects affecting a low-impact optional field may legitimately receive lower priority. A robust prioritization model may consider financial loss, regulatory exposure, operational disruption, customer impact, reputational damage, number of dependent systems, recurrence rate, remediation cost, and whether a Critical Data Element is involved. This risk-based approach prevents Data Quality programs from becoming simple defect-count reduction exercises. The objective is not merely to maximize the number of corrected records but to improve fitness for purpose where poor data creates material consequences. Governance should approve prioritization criteria and resolve conflicts where different business areas assign different importance to the same issue. Metadata and lineage provide evidence about downstream dependencies and affected processes. DAMA's revision of Chapter 13 adds a clearer Critical Data Element concept and clarifies responsibility within the Data Quality Improvement Lifecycle, reinforcing risk-based prioritization. Reference Topics: DAMA-DMBOK2 Chapter 13 — Issue Prioritization; Business Impact; Critical Data Elements; Risk; Remediation. =============== |
A Data Quality team wants to understand whether defect rates are improving month by month rather than viewing only the latest percentage. Which approach is most useful?
Answer
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A
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Explanation
Trend analysis is most useful because it shows how a quality metric changes over time rather than presenting a single isolated measurement. A current defect rate of 4% has different implications depending on whether the previous months were 12%, 8%, and 6%, or 1%, 2%, and 3%. The first pattern indicates improvement; the second indicates deterioration. Trend analysis therefore provides context for management decisions, helps determine whether remediation is producing sustained results, and can identify emerging degradation before thresholds are breached. For stable, regularly measured processes, statistical control charts can add further value by distinguishing routine variation from signals that warrant investigation. Metrics should be measured consistently over time. Changing definitions, populations, or calculation methods without documenting them can make apparent trends misleading. Metadata should preserve metric definitions, threshold changes, and measurement logic to ensure comparability. Reference Topics: DAMA-DMBOK2 Chapter 13 — Monitoring; Trend Analysis; Statistical Control; Metrics; Continuous Improvement. =============== |
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DAMA DQ-1220 FAQ'S
Find answers to the most common questions about the DAMA DQ-1220 exam, including what it is, how to prepare, and how it can boost your career.
The DAMA DQ-1220 certification is a globally-acknowledged credential that is awarded to candidates who pass this certification exam by obtaining the required passing score. This credential attests and validates the candidates' knowledge and hands-on skills in domains covered in the DAMA DQ-1220 certification syllabus. The DAMA DQ-1220 certified professionals with their verified proficiency and expertise are trusted and welcomed by hiring managers all over the world to perform leading roles in organizations. The success in DAMA DQ-1220 certification exam can be ensured only with a combination of clear knowledge on all exam domains and securing the required practical training. Like any other credential, DAMA DQ-1220 certification may require periodic renewal to stay current with new innovations in the concerned domains.
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