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Story points are a relative measure of effort/complexity/risk compared to reference stories, not a direct time metric. Teams calibrate points using techniques like Planning Poker or bucket system, creating internal consistency that enables empirical forecasting via velocity (points completed per iteration). Option A misstates points as hours; conflating them with time undermines their benefit and invites false precision. Option C is incorrect—velocity uses points as-is; translating to hours reintroduces estimation bias. Option D misassigns the role: Developers estimate because they do the work, while the Product Owner prioritizes based on value, risk, and dependencies. CAPM’s agile coverage emphasizes empiricism: use historical velocity to forecast ranges, communicate uncertainty, and avoid fixed commitments too early. Points support conversations about scope and trade-offs, not contractual guarantees. Good practice includes maintaining a stable Definition of Done, refining large items into smaller, similarly sized stories, and revisiting estimates when significant learning occurs, thereby increasing predictability without over-engineering the estimation process.

The Sprint Review is a collaborative working session at the end of the sprint to inspect the increment and gather feedback from stakeholders. The goal is to adapt the Product Backlog based on what was built and what changed in the environment—market shifts, new risks, or emergent opportunities. The Review focuses on product outcomes, not team process. By contrast, the Sprint Retrospective (Option B) is for the team to inspect its process, relationships, tools, and Definition of Done, then identify improvement actions for the next sprint. Estimation and rebaselining (Option C) may occur during backlog refinement or release planning but are not the central purpose of the Review. Reassigning roles (Option D) isn’t a Review objective and can undermine team stability. CAPM’s agile domain stresses empirical process control: transparency, inspection, and adaptation. The Review operationalizes inspection/adaptation at the product level, helping maximize value delivery by validating assumptions early, mitigating risk, and ensuring that the backlog ordering reflects the most current understanding of stakeholder needs and business goals.

A Pareto chart is a bar chart ordered from most to least frequent categories, typically with a cumulative percentage line to highlight the “vital few” categories contributing the majority of problems—an application of the Pareto (80/20) principle. It guides teams to focus improvement on the highest-impact areas first. A control chart (Option B) monitors process stability over time relative to control limits; it’s not used for categorical prioritization. A basic histogram (Option C) shows distributions but lacks the ordered bars and cumulative line that drive prioritization decisions. A scatter diagram (Option D) evaluates relationships between two variables, not categorical frequencies. CAPM quality management encourages using Pareto analysis in Manage Quality to target root-cause analysis and in Control Quality to monitor whether corrective actions reduce the dominant categories. Combined with cause-and-effect diagrams and 5 Whys, Pareto charts help allocate limited resources to the most consequential sources of defects, improving quality and cost performance.

A point outside control limits (typically ±3σ) is a classic, high-confidence indicator of special-cause variation—something changed beyond normal process noise—triggering investigation and corrective action. Patterns entirely within limits can also signal special causes (Western Electric rules), such as a run of many points on one side of the mean, trends of consecutive increases/decreases, or clustering in zones near limits; however, a single point beyond a control limit is the clearest, least ambiguous trigger. Random zig-zag (Option B) without rule violations generally reflects common-cause variation. Two near-limit points (Option C) may be suspicious, but by itself is not a definitive rule unless combined with additional points (e.g., 2 of 3 in zone A). Mild drift around the mean (Option D) may be normal unless it forms a defined trend rule. CAPM quality control stresses distinguishing process control (common causes) from capability (meeting specs). After detecting special cause, teams should identify root causes, implement corrective actions, and then monitor to confirm the process returns to statistical control.

Scrum balances flexibility with focus. During a sprint, scope may be clarified and the Product Owner and Developers can re-negotiate items as more is learned—provided the Sprint Goal remains achievable. If the new item threatens the goal, the appropriate action is to keep it in the Product Backlog for future selection or, in rare cases, the Product Owner may cancel the sprint if the goal has become obsolete. Automatically adding items (Option A) undermines focus and predictability. Blanket refusal (Option D) ignores Scrum’s allowance for collaborative re-negotiation. Immediate cancellation (Option B) is a last resort and wastes work-in-progress unless the goal is no longer valid. CAPM agile objectives underscore maintaining a stable Definition of Done, transparent backlogs, and empirical forecasting. The team should assess impact, consider trading out equivalent work, and update stakeholders. This approach protects flow and quality while remaining responsive to emergent value, preserving trust and cadence.