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| Section | Objectives |
|---|---|
| Topic 1: Managing Products with Agility | - Stakeholder collaboration - Product value and outcomes - Forecasting and release planning - Agile product thinking |
| Topic 2: Developing People and Teams | - Self-managing teams - Facilitation techniques - Coaching and mentoring - Teaching and enabling Scrum adoption |
| Topic 3: Complex organizational Scrum application | - Leadership and influence without authority - Organizational impediments - Scaling Scrum (e.g., Nexus concepts) |
| Topic 4: Understanding and Applying the Scrum Framework | - Events, artifacts, and commitments - Scrum Team accountabilities - Scrum theory and empiricism - Scrum Values - Definition of Done and transparency |
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NEW QUESTION # 19
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 # 20
What variables should a Product Owner consider when ordering the Product Backlog?
Answer:
Explanation:
Ordering the Product Backlog is a key accountability of theProduct Ownerand is essential for maximizing value through empiricism. The ordering reflects continuous inspection of multiple variables, not a single prioritization rule.
1. Value and Outcomes
The primary variable isvalue. The Product Owner considers:
* Customer and user value,
* Business impact and outcomes,
* Alignment with theProduct Goal.
Items that deliver higher or more urgent value are generally ordered higher.
2. Risk and Uncertainty
Items that reducerisk or uncertaintyare often ordered earlier. This includes:
* Technical risk,
* Market or usability risk,
* Integration or dependency risk.
Early learning enables better decisions and reduces long-term cost.
3. Dependencies
The Product Owner considersdependenciesbetween backlog items and teams. Items that unblock other work or reduce dependencies may be ordered higher to improve flow and reduce coordination overhead.
4. Effort, Complexity, and Feasibility
While Developers estimate effort, the Product Owner uses this information to balance value againstcost, complexity, and feasibility. High-value items that are feasible within near-term constraints are often prioritized.
5. Feedback and Learning
Ordering reflectsfeedback from Sprint Reviews, user testing, and market response. Items may move up or down based on what has been learned from previous Increments.
6. Time Sensitivity and Opportunity Cost
Some items are time-critical due to:
* Regulatory deadlines,
* Market windows,
* Competitive pressure.
Delaying such items may reduce or eliminate their value.
NEW QUESTION # 21
How does the Cone of Uncertainty influence the work being done by a development team during a product's development lifetime?
Answer:
Explanation:
TheCone of Uncertaintydescribes how the level of uncertainty in a product's requirements, technology, and value is highest at the beginning of a product's lifetime and gradually decreases as knowledge is gained. This concept strongly influences the type of work a development team performs throughout the product's development lifecycle and aligns well with Scrum's empirical approach.
Early Stage: High Uncertainty and Discovery Work
At the start of a product's development lifetime, manyunknownsexist. These may relate to customer needs, technical feasibility, usability, or business value. According to Scrum's empirical nature, teams should not assume certainty where it does not exist. Therefore, early development work focuses primarily ondiscovery.
During this stage, the Development Team works to reduce uncertainty by:
* Conducting research and experiments,
* Building prototypes or spikes,
* Testing assumptions with users,
* Validating technical and business hypotheses.
This type of work helps the team learn quickly and avoid premature commitment to detailed solutions. The goal is not maximizing feature output, butmaximizing learningand reducing risk.
Middle Stage: Reduced Uncertainty and Feature Development
As important unknowns are discovered and addressed, the Cone of Uncertainty narrows. The team gains confidence in what to build and how to build it. At this point, work increasingly shifts toward delivering functional stories and featuresthat provide direct value to users.
Development during this phase focuses on:
* Building usable, integrated product increments,
* Expanding functionality based on validated learning,
* Refining features through feedback and inspection.
Scrum supports this transition by enabling frequent inspection and adaptation through Sprints, ensuring that learning continues while value delivery accelerates.
Late Stage: Low Uncertainty and Operational Work
Toward the end of a product's development lifetime, most significant uncertainties have been resolved.
According toEvidence-Based Management (EBM),Unrealized Value becomes low, whileCurrent Value is high. At this stage, the volume of new feature development typically decreases.
The team's work becomes moreoperationalin nature, such as:
* Maintenance and optimization,
* Improving performance or stability,
* Addressing technical debt,
* Supporting existing users.
Investment decisions increasingly focus on sustaining value rather than discovering new opportunities.
NEW QUESTION # 22
Learning turns into 'validated learning' when assumptions and goals can be assessed through results. What is a key way for a Product Owner to apply validated learning?
Answer:
Explanation:
A key way aProduct Owner applies validated learningis byadapting the Product Backlog and Product Goal based on evidence from real outcomes, not assumptions.
Through inspection of:
* TheProduct Incrementduring the Sprint Review,
* Stakeholder and user feedback,
* Measured outcomes such as usage, value, or risk reduction,
the Product Owner assesses whether assumptions about value, users, or direction are valid. This learning becomesvalidatedonly when it is reflected inchanged decisions, such as:
* Reordering Product Backlog items,
* Adding or removing backlog items,
* Adjusting or even abandoning a Product Goal.
In other words, validated learning is applied when the Product Owneruses results to change what is built next, ensuring that future work is based on evidence rather than speculation.
NEW QUESTION # 23
The definition of "Done" describes the work that must be completed for every Product Backlog item before it can be deemed releasable. What should the Development Team do when, during the Sprint, it finds out that a problem outside of their control blocks them from doing all this work?
Answer:
Explanation:
When the Development Team discovers during a Sprint that a problemoutside of their controlprevents them from completing all work required by theDefinition of Done, this situation must be addressed through transparency, inspection, and adaptation, rather than by lowering standards.
1. Make the Impediment Transparent Immediately
The Development Team shouldmake the issue visible as soon as it is discovered. This includes:
* Raising it in theDaily Scrum,
* Clearly stating how it impacts the Sprint Goal and the Definition of Done.
Transparency is critical so that inspection and adaptation are based on reality, not assumptions.
2. Do Not Compromise the Definition of Done
The Definition of Done mustnot be relaxed or bypassedto "get something done." Lowering quality destroys transparency and creates false progress. If the Definition of Done cannot be met, the work isnot Doneand should not be considered releasable.
3. Collaborate to Adapt the Sprint Backlog
The Development Team should collaborate with theProduct Ownerto inspect the impact and adapt the Sprint Backlog. This may include:
* Removing or adjusting affected Product Backlog Items,
* Focusing on work that can still meet the Definition of Done,
* Preserving theSprint Goal, if possible.
4. Escalate the Impediment Through the Scrum Master
Because the problem is outside the team's control, it qualifies as animpediment. The Scrum Master must help remove or mitigate it by working with the organization or external parties. If the impediment cannot be resolved quickly, its impact should be addressed in planning and stakeholder communication.
NEW QUESTION # 24
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