Practice — DQ13-035–051
DQ13-035 — Lifecycle & Activities · Standard · Understand
In the PDCA view of Data Quality improvement, what belongs primarily in Do? - A. Define consumer requirements only. - B. Measure ongoing performance against thresholds only. - C. Implement the selected process/system changes and controls intended to address root causes. - D. Escalate every existing issue without changing controls.
DQ13-036 — Lifecycle & Activities · Standard · Understand
What is the primary purpose of Check in the Data Quality improvement cycle? - A. Rewrite the Data Quality framework after every defect. - B. Directly patch production data without validation. - C. Select which data is critical for the first time. - D. Measure and monitor actual data against rules and thresholds to determine whether quality is controlled and improvements work.
DQ13-037 — Lifecycle & Activities · Standard · Understand
What does Act emphasize in the Data Quality improvement cycle? - A. Correct newly detected defects/conditions and use findings to sustain or restart improvement as needed. - B. Define the initial business case before any measurement. - C. Assume the process is permanently fixed after one successful run. - D. Eliminate all monitoring once thresholds are met.
DQ13-038 — Lifecycle & Activities · Difficult · Apply
A process has been stable for six months, but a new regulatory requirement changes the acceptable completeness threshold. What should happen? - A. Keep the old threshold to preserve historical comparability. - B. Re-enter the improvement/management cycle because the requirements and acceptance criteria have changed. - C. Stop monitoring because the process was previously stable. - D. Treat the new threshold only as a Metadata issue.
DQ13-039 — Lifecycle & Activities · Standard · Apply
A call center rewards agents only for completing calls under three minutes, with no Data Quality metric or accountability for customer data entered. Which cause family is primary? - A. Data processing functions. - B. System design. - C. Lack of oversight. - D. Fixing previous issues.
DQ13-040 — Lifecycle & Activities · Standard · Apply
Users frequently choose the wrong value because a confusing data-entry screen has a poorly ordered list and weak edit checks. Which cause family is primary? - A. Lack of oversight only. - B. Data processing functions. - C. Fixing previous issues. - D. Data Entry Processes.
DQ13-041 — Lifecycle & Activities · Standard · Apply
An upstream system changes a field structure without considering downstream loads, causing subtle transformation failures. Which cause family is primary? - A. Data Processing Functions. - B. Data Entry Processes. - C. Fixing previous issues. - D. Lack of criticality.
DQ13-042 — Lifecycle & Activities · Standard · Apply
A database permits child records whose foreign keys do not reference valid parent records because referential-integrity enforcement was disabled. Which cause family is primary? - A. Data Entry Processes. - B. System Design. - C. Lack of oversight only. - D. Fixing previous issues.
DQ13-043 — Lifecycle & Activities · Standard · Apply
An emergency script updates production records directly, bypassing application controls, and creates new errors. Which cause family is primary? - A. Data Entry Processes. - B. Criticality. - C. Fixing Previous Issues. - D. Objective measurement.
DQ13-044 — Lifecycle & Activities · Foundational · Recall
Which sequence best reflects the first four formal Chapter 13 Data Quality activities? - A. Profile all enterprise data → Clean all defects → Buy a tool → Define business requirements. - B. Define SLAs → Correct records → Build scorecards → Identify critical data. - C. Define High Quality Data → Correct all records → Retire rules → Stop monitoring. - D. Define a DQ Framework → Define High Quality Data → Identify Dimensions and Supporting Business Rules → Perform an Initial DQ Assessment.
DQ13-045 — Lifecycle & Activities · Standard · Distinguish
What is the most important work in an Initial Data Quality Assessment once critical needs/data are identified? - A. Actually query/profile the data, understand content/relationships, and compare actual conditions with rules and expectations. - B. Rely only on stakeholder opinions without inspecting data. - C. Correct every discovered defect before documenting findings. - D. Select a Data Quality tool and let default rules define quality.
DQ13-046 — Lifecycle & Activities · Difficult · Distinguish
Profiling shows CUSTOMER_EMAIL is null in 3% of records. What does that result represent before the business rule/threshold is applied? - A. Proof that the data is inaccurate. - B. A factual data condition that becomes a DQ finding only in relation to an applicable requirement/threshold. - C. Proof that the 3% must be corrected immediately. - D. A Data Quality SLA violation regardless of consumer requirements.
DQ13-047 — Lifecycle & Activities · Difficult · Apply
Two defects are found: one affects a rarely used optional field; another affects a regulatory report and exposes the company to fines. What should drive prioritization? - A. Whichever issue is technically easiest to fix. - B. Whichever table has more rows. - C. Business impact, criticality, risk, and stakeholder evidence—not just the number of defects. - D. Whichever issue was discovered first.
DQ13-048 — Lifecycle & Activities · Standard · Apply
Which improvement plan best reflects Chapter 13? - A. Correct historical rows only and avoid changing processes. - B. Defer all low-cost fixes until a multi-year redesign is complete. - C. Set goals only in technical defect counts, not business outcomes. - D. Use quick hits where justified, but emphasize strategic changes that remediate root causes and prevent recurrence.
DQ13-049 — Lifecycle & Activities · Standard · Understand
What is the purpose of a Data Quality Framework? - A. Provide a repeatable enterprise approach/methodology for aligning priorities, executing DQ work, and measuring progress and impact. - B. Define one universal quality threshold for all data. - C. Replace business ownership with a central DQ team. - D. Specify only which profiling product should be purchased.
DQ13-050 — Operations & SLA · Standard · Apply
A mature organization wants to prevent new systems from introducing undocumented quality assumptions. What should it do? - A. Wait for profiling after production to infer every rule. - B. Build capture and approval of Data Quality rules into system development and enhancement processes. - C. Keep rules only in analyst spreadsheets. - D. Use correction scripts instead of design-time controls.
DQ13-051 — Operations & SLA · Standard · Understand
Which activity is primarily responsible for recurring calculation and reporting of conformance to approved Data Quality rules? - A. Define High Quality Data. - B. Identify and Prioritize Potential Improvements. - C. Measure and Monitor Data Quality. - D. Data Parsing and Formatting.