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| Section | Objectives |
|---|---|
| Managing Products with Agility | - Forecasting and release planning - Product value and outcomes - Agile product thinking - Stakeholder collaboration |
| Complex organizational Scrum application | - Leadership and influence without authority - Scaling Scrum (e.g., Nexus concepts) - Organizational impediments |
| Developing People and Teams | - Coaching and mentoring - Self-managing teams - Facilitation techniques - Teaching and enabling Scrum adoption |
| Understanding and Applying the Scrum Framework | - Definition of Done and transparency - Scrum Values - Events, artifacts, and commitments - Scrum Team accountabilities - Scrum theory and empiricism |
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NEW QUESTION # 11
One of the Scrum events is the Sprint Review. How does the Sprint Review enable empiricism? What would the impact be if some members of the development team were not present?
Answer:
Explanation:
TheSprint Reviewis a key Scrum Event that directly enablesempiricism, which is the foundation of Scrum.
Empiricism is based on making decisions using what is known, observed, and learned, supported by the pillars oftransparency, inspection, and adaptation. The Sprint Review operationalizes these pillars at the product level.
How the Sprint Review Enables Empiricism
First, the Sprint Review createstransparencyby making the current state of the product visible. During the event, the Scrum Team presents a"Done" Product Incrementthat meets the Definition of Done. Stakeholders can see and often use the actual product rather than relying on reports or assumptions. This shared visibility ensures that discussions are grounded in reality.
Second, the Sprint Review enablesinspection. The Scrum Team and stakeholders jointly inspect the Increment and assess progress toward product goals. The Developers provide context about what was delivered, what was not, and what challenges were encountered. This inspection is focused on outcomes and value, not individual performance.
Third, the Sprint Review supportsadaptation. Based on the inspection and feedback, new insights emerge about customer needs, market conditions, risks, and opportunities. The Product Owner uses this information to adapt the Product Backlog, reordering items, adding new work, or refining existing items. This completes the empirical feedback loop by ensuring future decisions are based on the latest evidence.
Impact of Development Team Members Not Attending the Sprint Review
If some Developers are not present at the Sprint Review, empiricism is weakened.
First,transparency decreases. Developers possess critical, first-hand knowledge about implementation details, technical trade-offs, constraints, and risks. Without their presence, stakeholders receive an incomplete picture of the Increment and its implications.
Second,inspection becomes less effective. Stakeholders may ask questions about behavior, limitations, or quality that only Developers can accurately answer. The absence of Developers limits meaningful dialogue and reduces the quality of inspection.
Third,adaptation suffers. Decisions about what to do next-such as changes to scope, priorities, or technical direction-depend on accurate understanding. Without Developers participating, adaptations to the Product Backlog may be based on assumptions rather than evidence, increasing the risk of poor decisions.
Finally, excluding Developers underminesScrum Values, particularlyRespect and Openness, by treating the Sprint Review as a reporting event rather than a collaborative working session. This can lead to disengagement and reduced shared ownership of product outcomes.
NEW QUESTION # 12
What is Scrum's relation to Empiricism / Empirical Process Control?
Answer:
Explanation:
Scrum is fundamentally based onEmpiricism, also referred to asEmpirical Process Control. This means that Scrum recognizes that complex work, such as software development, cannot be fully understood or predicted upfront. Instead, decisions are made based onexperience, observation, and evidence, forming a continuous closed feedback loop.
Empirical Process Control rests on three pillars:Transparency, Inspection, and Adaptation. Scrum provides a structured framework of roles, events, and artifacts that explicitly support and reinforce each of these pillars.
Transparency
Transparency ensures that all significant aspects of the process and product are visible to those responsible for the outcome. In Scrum, transparency is created through clearly defined artifacts such as theProduct Backlog, Sprint Backlog, and Product Increment, each governed by a shared Definition of Done. Scrum Events further enhance transparency by creating regular opportunities to share progress, challenges, and current state.
Without transparency, inspection would be misleading and ineffective.
Inspection
Scrum prescribes frequent and regularinspectionof both the product and the process. Each Scrum Event serves as an inspection point:
* TheDaily Scruminspects progress toward the Sprint Goal,
* TheSprint Reviewinspects the Increment and adapts the Product Backlog,
* TheSprint Retrospectiveinspects the team's ways of working.
These inspections are intentionally timeboxed and lightweight to avoid excessive overhead while still enabling timely feedback.
Adaptation
Inspection is meaningful only if it leads toadaptation. Scrum explicitly enables adaptation by allowing changes to plans, processes, and backlog content based on what is learned. The Sprint Backlog may be adapted during the Sprint, the Product Backlog is adapted after the Sprint Review, and team practices are adapted following the Sprint Retrospective.
Closed Feedback Loop
Together, transparency, inspection, and adaptation form aclosed feedback loop. Scrum's short iterations (Sprints) ensure that learning occurs frequently, enabling the Scrum Team and stakeholders to respond quickly to change, reduce risk, and improve outcomes over time.
NEW QUESTION # 13
Technical systems can be decomposed to composite elements, from the large to the small. Basic components may be represented as activities, workflows, functions, features, capabilities, and other similar nomenclature.
How does this system decomposition affect Scrum Teams on scaled projects?
Answer:
Explanation:
Technical systems are often decomposed into smaller elements such as activities, workflows, functions, features, or components to manage complexity. While decomposition is necessary for understanding and building large systems, it has significant implications forScrum Teams, especially inscaled environments.
1. Risk of Component-Centric Team Structures
When system decomposition drives team structure, organizations often createcomponent or specialist teams aligned to technical layers or functions. In scaled Scrum, this increases:
* Dependencies between teams,
* Coordination overhead,
* Integration risk.
Such structures make it difficult for teams to deliverend-to-end, integrated Incrementseach Sprint, weakening empiricism and delaying feedback.
2. Impact on Value Delivery and Inspection
Scrum relies on frequent inspection ofworking product Increments. If work is decomposed into narrowly defined technical components, individual teams may only deliver partial outputs rather than usable value. This reduces transparency and makes meaningful inspection at the product level harder, especially when multiple teams are involved.
3. Preference for Feature-Oriented Decomposition
Scrum favors decomposing work intovertical, value-oriented slices(features or capabilities) rather than horizontal technical layers. This allows each Scrum Team to be:
* Cross-functional,
* Capable of delivering usable Increments independently,
* Less dependent on other teams.
In scaled projects, feature-oriented decomposition reduces dependencies and improves flow.
4. Effects on Integration and Empiricism
Poor decomposition increases the cost of integration and often leads to late or infrequent integration. Scrum requires that integration happensearly and often, as unintegrated work is not "Done." In scaled Scrum, decomposition choices directly influence whether integration is continuous or deferred, with major implications for risk control.
5. Organizational and Learning Implications
System decomposition also affects learning and adaptability. When teams own complete features rather than isolated components, they gain a better understanding of:
* Customer needs,
* System behavior,
* Trade-offs across the product.
This broader understanding improves decision-making and supports continuous improvement across the system.
NEW QUESTION # 14
How the organization discusses and plans the work of creating software will be reflected in the implementation of that software.
Technical systems can be decomposed to composite elements, from the large to the small. Basic components may be represented as activities, workflows, functions, features, capabilities, and other similar nomenclature.
How does this system decomposition affect Scrum Teams on scaled projects?
Answer:
Explanation:
How an organization discusses, plans, and decomposes work is inevitably reflected in the software it produces. When technical systems are decomposed into elements such as activities, workflows, functions, features, or components, these decomposition choices have adirect and systemic impact on Scrum Teams, especially inscaled Scrum environments.
1. Decomposition Influences Team Structure (Conway's Law)
In scaled projects, system decomposition often drives how teams are formed. When work is decomposed along technical components or functions, organizations tend to createspecialist or component teams(e.g., front- end teams, back-end teams). This results in:
* Increaseddependencies between teams,
* More handoffs and coordination,
* Reduced autonomy of individual teams.
Scrum, however, expects teams to becross-functionaland capable of delivering usable Increments independently. Component-based decomposition therefore hinders effective Scrum adoption at scale.
2. Effect on Value Delivery and Transparency
Scrum relies on frequent inspection ofintegrated, working product Increments. When decomposition focuses on small technical parts rather thanend-to-end features or capabilities, teams may deliver partial outputs instead of usable value.
This negatively affects:
* Transparency, as progress is reported through intermediate artifacts rather than working software,
* Inspection, since stakeholders cannot meaningfully evaluate value,
* Adaptation, because feedback is delayed until integration occurs.
In scaled Scrum, this often results in "almost done" work that is not truly Done.
3. Feature-Oriented Decomposition Supports Scrum
Scrum scales more effectively when system decomposition emphasizesvertical slices of value, such as features or capabilities, rather than horizontal technical layers. Feature-oriented decomposition enables:
* Cross-functional teams,
* Reduced dependencies,
* Faster feedback cycles,
* Independent delivery of value by each team.
This approach aligns with Scrum's expectation that every Sprint produces ausable Increment.
4. Impact on Integration and Risk
Decomposition decisions strongly affectintegration frequency. Poor decomposition increases integration complexity and encourages late integration, which raises risk and reduces learning.
In Scrum-especially at scale-integration must happen early and often. Unintegrated work is not considered Done, and delayed integration undermines empiricism by hiding real system behavior until late in development.
5. Learning and System Optimization
When Scrum Teams work on complete features rather than isolated components, they gain broader insight into:
* Customer needs,
* System-wide trade-offs,
* End-to-end product behavior.
This shared understanding improves decision-making and supportscontinuous improvement at the system level, rather than local optimization within silos.
NEW QUESTION # 15
When many Development Teams are working on a single product, what best describes the definition of
"done?"
Answer:
Explanation:
When many Development Teams are working on a single product, there must beone shared Definition of Done (DoD)that applies toall teamsand tothe entire product Increment.
Single, Shared Definition of Done
Scrum requires that each Increment beusable and potentially releasable. When multiple teams contribute to one product, this means:
* There isone product, not multiple team products,
* There must therefore beone Definition of Donethat ensures consistency, quality, and transparency across all teams.
Having different Definitions of Done per team would result in:
* Inconsistent quality,
* Integration problems,
* Loss of transparency,
* Increments that are "Done" in isolation but not at the product level.
Integrated Increment-Level Definition of Done
The shared Definition of Done must includeintegration criteria, ensuring that:
* Work from all teams is integrated,
* The combined Increment meets quality and compliance standards,
* The product can be inspected and potentially released.
In scaled Scrum (e.g., Nexus), unintegrated work is explicitlynot considered Done, regardless of whether individual teams believe their work is complete.
Ownership and Evolution
While Developers collectively create and adhere to the Definition of Done, it applies at theproduct level, not the team level. As the product and organization mature, the Definition of Done may beexpanded, but it must always remain shared and transparent.
NEW QUESTION # 16
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