Free DAMA CDMP Governance Practice Questions: Governance Issue Management and Resolution

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These are original IT Mastery practice questions aligned to this topic area. They are not official exam questions, copied live-exam content, or exam dumps. Use them for self-assessment, scope review, and deciding what to drill next.

Question 1

Topic: Governance Issue Management and Resolution

A bank repeatedly fixes customer onboarding records after monthly regulatory reporting failures, but the same defects return. The issue log shows conflicting definitions of “active customer” between Retail and Compliance, no named business owner for the data element, and manual overrides that bypass validation. The governance council has authority to assign ownership and approve standards. Which governance decision best supports sustainable remediation?

Options:

• A. Let each domain keep its definition and document both in the glossary

• B. Ask IT operations to tighten database permissions

• C. Fund a one-time cleansing effort before the next report

• D. Assign an owner, approve a shared definition, and require controlled validation changes

Best answer: D

Explanation: Recurring data defects usually indicate a root-cause governance problem, not only a data cleanup problem. Here, the failure pattern points to missing ownership, inconsistent business definitions, and weak process controls around manual overrides. A governance council should use its decision rights to assign accountable ownership, approve a common business definition or governed exception rule, and require standards or controls that are built into the onboarding process. That creates sustainable remediation because future records are created and changed under agreed rules, with accountable monitoring and escalation. A temporary cleanup may satisfy the next reporting deadline, but it does not remove the causes of recurrence.

• One-time cleansing treats the symptom and leaves ownership, definition conflict, and override controls unresolved.
• Database permissions may help with access control, but the facts point to business definition and validation governance gaps.
• Parallel definitions documents the conflict without resolving the reporting meaning needed by Retail and Compliance.

Question 2

Topic: Governance Issue Management and Resolution

A data governance office reviews the monthly issue dashboard for customer master data. The intake workflow and steward assignments have not changed.

The Customer Data Owner is named, but no preventive action has been approved for the top cause. Which stewardship response best fits the dashboard?

Options:

• A. Redesign the issue intake form and mandatory fields

• B. Approve root-cause remediation and track preventive actions

• C. Escalate to identify the accountable data owner

• D. Add more stewards to increase resolution capacity

Best answer: B

Explanation: The dashboard points to unresolved root causes rather than poor intake, insufficient capacity, or unclear authority. Triage rejection is low, so incoming issues are mostly usable. SLA performance and aged backlog are acceptable, so the steward team is not primarily capacity constrained. The data owner is already named, so the next governance need is not ownership discovery. The strongest signal is that 31% of issues are reopened or repeated, and the top cause is known but has no approved preventive action. Issue management should move from recurring cleanup to governed remediation: approve an owner-backed action, update controls or standards if needed, and monitor recurrence as an outcome measure.

• Intake redesign is not supported because triage rejection is only 4%, indicating issue submissions are generally usable.
• More stewards does not address the main pattern because SLA performance and aged backlog do not show a resolution-capacity bottleneck.
• Owner escalation is unnecessary because the Customer Data Owner is already named; the gap is approved preventive action.

Question 3

Topic: Governance Issue Management and Resolution

A recurring customer-status defect is causing billing delays, sales-reporting errors, and service-priority disputes. Each affected department says the defect starts outside its process, and no data owner accepts accountability for remediation. What is the best first governance action?

Options:

• A. Open separate issue tickets for each affected process

• B. Ask the data custodian to correct the records in the source system

• C. Escalate to the data governance council to assign accountable ownership

• D. Let each department define its own customer-status rule

Best answer: C

Explanation: Data issue triage should identify scope, business impact, and accountable ownership. When a defect affects multiple business processes and no owner accepts accountability, the immediate need is not technical cleanup or local rule-making. It is governance escalation to the forum with decision rights, such as a data governance council or delegated ownership body. That body can confirm the authoritative data domain, assign a data owner, and direct stewardship work across impacted processes. Once accountability is assigned, custodians and project teams can implement fixes, but they should not decide ownership by default.

• Technical cleanup first fails because correcting records does not resolve accountability or prevent recurrence across processes.
• Local rules fail because independent definitions would increase inconsistency for shared customer-status data.
• Separate tickets fail because splitting the issue by process hides the common ownership and root-cause problem.

Question 4

Topic: Governance Issue Management and Resolution

A data governance council has introduced an issue management process for customer and product data defects. Business owners say the same issues keep reappearing after cleanup, dashboard users report low confidence, and compliance wants evidence that root causes are being controlled. The council wants one primary outcome metric for continuous improvement. Which metric best fits this need?

Options:

• A. Number of data issues logged and closed by stewards each month

• B. Rate of priority issues that do not recur after root-cause remediation, paired with affected-user trust ratings

• C. Average time from issue submission to initial steward assignment

• D. Count of glossary terms approved for customer and product domains

Best answer: B

Explanation: Governance issue management should be measured by outcomes, not only workflow activity. In this scenario, the council needs evidence that issue resolution is changing business results: recurring defects are reduced and users trust governed data more. A metric focused on non-recurrence after root-cause remediation directly tests whether the same defects stop returning. Pairing that with affected-user trust ratings connects the issue process to business confidence in reports and decisions. Counts of logged issues, assignment speed, and glossary approvals can help manage operations, but they do not prove that defects are staying fixed or that data consumers trust the result.

• Closure volume can show throughput, but many closed items may still recur if root causes are not addressed.
• Assignment speed helps monitor workflow responsiveness, but it does not show whether remediation was effective.
• Glossary approval count supports metadata maturity, but it is only indirectly related to recurring data defects and user confidence.

Question 5

Topic: Governance Issue Management and Resolution

A data governance office reports that steward teams closed 420 data issues this quarter, up from 260 last quarter. However, the same customer-status and product-hierarchy issues keep reappearing in new projects. The council wants evidence of real improvement, not just higher issue throughput. Which governance response best fits this situation?

Options:

• A. Prioritize issues by oldest open date until the backlog falls

• B. Analyze recurring issue themes and sponsor root-cause remediation

• C. Set a higher quarterly closure target for each steward team

• D. Publish closure counts by business unit on the scorecard

Best answer: B

Explanation: Issue throughput measures how many items move through the issue-management process, such as opened, closed, or aged tickets. Real improvement is shown when repeat defects decline because the cause has been addressed. In this case, the recurring customer-status and product-hierarchy issues suggest gaps in standards, ownership, process controls, or master/reference data governance. The council should use backlog metrics to identify patterns, assign accountable owners for root-cause remediation, and track whether recurrence and business impact decrease over time. Faster closure can be useful operationally, but it does not prove the governed data process has improved.

• Higher closure target may increase activity but can encourage superficial fixes without reducing recurrence.
• Oldest-first prioritization manages backlog age but does not address why the same issues return.
• Closure-count reporting improves visibility into throughput, but it is not evidence of control effectiveness or process improvement.

Question 6

Topic: Governance Issue Management and Resolution

A data issue report says the monthly customer retention score is unreliable. Triage finds three causes: the CRM team changed how inactive accounts are captured, Sales and Finance disagree on the definition of “retained customer,” and the warehouse transformation must be updated after the definition is approved. Who should be assigned as the accountable issue owner?

Options:

• A. The CRM system administrator

• B. The data warehouse custodian

• C. The data governance council chair

• D. The customer data owner

Best answer: D

Explanation: Issue ownership in data governance is about accountability for resolving the data problem, not simply fixing the most visible system defect. Because the issue includes source process behavior, a disputed business definition, and downstream technical remediation, the accountable owner should be the business data owner for the customer data domain. That person can sponsor the definition decision, ensure the source process aligns with approved business rules, and direct custodians or delivery teams to implement changes. Stewards may coordinate analysis and documentation, and custodians may perform technical fixes, but neither substitutes for business accountability. If the definition dispute cannot be resolved at the domain level, escalation to the governance council may be needed, but the council chair is not normally the issue owner.

• System administrator focuses on CRM operation and configuration, but the problem also requires business definition authority.
• Warehouse custodian can implement transformation changes, but only after the business rule is decided.
• Council chair may facilitate escalation, but governance forums do not replace assigned business accountability.

Question 7

Topic: Governance Issue Management and Resolution

A sales scorecard is corrected every month after regional teams report that customer segment totals do not match the CRM system. The same mismatch keeps reappearing because new accounts can be created without a segment value in one upstream onboarding process. Which remediation approach best addresses the recurring issue?

Options:

• A. Publish an exception note with each scorecard

• B. Manually update missing segment values in CRM

• C. Recalculate the monthly scorecard totals

• D. Add segment validation to account onboarding

Best answer: D

Explanation: Sustainable governance remediation focuses on the root cause and the control point where the issue is created. Here, the recurring mismatch is not caused by the scorecard calculation itself; it is caused by an upstream onboarding process that allows new accounts without a required customer segment. Adding validation or a required-field control to that process prevents the defect from entering downstream systems and reports. Correcting CRM records, recalculating reports, or adding notes may be useful short-term containment actions, but they do not stop the same issue from recurring.

• Report recalculation fixes the current output but leaves the upstream defect unchanged.
• Manual data updates clean current records but create an ongoing stewardship workload instead of preventing recurrence.
• Exception notes disclose the limitation but do not remediate the process or control failure.

Question 8

Topic: Governance Issue Management and Resolution

A data governance office reviews its quarterly issue-management results. Total issue volume has dropped after a new intake triage process, but several high-impact issues keep reappearing and remain unresolved.

What is the best continuous-improvement action?

Options:

• A. Report the lower issue volume as sufficient improvement

• B. Reassign all open issues to technical custodians

• C. Escalate recurring high-impact issues with root-cause remediation owners

• D. Tighten intake criteria to reduce future issue counts

Best answer: C

Explanation: Issue metrics should drive governance improvement, not just show activity reduction. A lower intake volume can be positive, but unresolved recurring high-impact issues indicate persistent root causes, unclear accountability, or ineffective remediation. The governance response should focus attention on risk, age, recurrence, ownership, and decision escalation. High-impact recurring issues should be reviewed by the appropriate stewardship forum or governance council, assigned to accountable business owners and remediation teams, and tracked against agreed actions and target dates. The key shift is from counting fewer issues to resolving the issues that matter most to business trust, compliance, and operational performance.

• Volume-only reporting misses the unresolved high-impact pattern and can hide governance failure behind improved intake statistics.
• Technical reassignment confuses custody with accountability; custodians may implement fixes but should not own business resolution decisions.
• Stricter intake may reduce reported counts further, but it does not address the recurring root causes already visible in the backlog.

Question 9

Topic: Governance Issue Management and Resolution

A data governance manager reviews the monthly issue backlog for customer data. The same issues remain open across three business units despite repeated cleanup work by the data quality team.

Which governance response best addresses the decisive backlog pattern?

Options:

• A. Escalate ownership and definition decisions to the governance council

• B. Add more profiling rules to the data quality tool

• C. Ask data custodians to increase cleanup frequency

• D. Prioritize all items strictly by age

Best answer: A

Explanation: Backlog analysis should identify why issues are not moving, not just count unresolved items. Here, aged high-impact issues recur after local cleanup, and the owner is blank or disputed. That pattern points to a governance failure in decision rights: no accountable business owner has authority to approve the shared customer definition and sponsor remediation. Escalating to the governance council is appropriate because the conflict spans business units and requires an authoritative decision, not only technical work.

Age, tooling, and cleanup capacity may be useful signals, but they do not fix a disputed business definition or missing accountability.

• Age-only ranking may improve queue order, but it does not resolve the ownership gap causing the backlog to stall.
• More cleanup treats symptoms, while recurring issues show that root-cause remediation has not been governed.
• More profiling rules may detect defects faster, but detection is not the same as resolving cross-unit definition authority.

Question 10

Topic: Governance Issue Management and Resolution

A data governance council has introduced a formal issue management process for critical customer data defects. After six months, the council wants a metric that best indicates whether the process is improving stakeholder trust and reducing repeated root causes. Which metric is most appropriate?

Options:

• A. Number of open issues added to the stewardship backlog

• B. Count of data quality rules documented in the glossary

• C. Percentage of resolved issues that do not recur within the next quarter

• D. Average number of attendees at issue triage meetings

Best answer: C

Explanation: Governance issue management should be measured by outcomes, not only activity. A useful continuous-improvement metric shows whether remediation addresses root causes and whether the same defects stop reappearing. Tracking the percentage of resolved issues that do not recur within a defined period links stewardship, escalation, remediation, and business trust. It also gives the governance council evidence that decisions and accountability are changing data behavior, not just increasing process volume.

Backlog size, meeting attendance, and documented rules can support governance operations, but they do not directly show durable resolution or reduced recurrence. The strongest metric connects issue closure to sustained defect prevention.

• Backlog volume may show demand or visibility, but more logged issues does not prove improved trust or fewer recurring defects.
• Meeting attendance measures participation, not whether issues are resolved effectively.
• Documented rules support quality management, but rule counts alone do not show that recurring root causes are being eliminated.

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