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| Section | Weight | Objectives |
|---|---|---|
| Unlearning Behaviors | 15% | - Governance, risk and compliance in DevOps - Cognitive bias and psychological safety - Mindset and mental models |
| Measuring to Improve | 15% | - Meaningful metrics and indicators - Value stream mapping - Avoiding measurement pitfalls |
| Target Operating Models and Organizational Design | 10% | - Designing DevOps-aligned operating models - Team structures and collaboration - Conway's Law and organizational structure |
| Measuring to Learn | 15% | - Tools and techniques for measurement - Purpose of measurement - Evaluating DevOps performance |
| Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
| DevOps and Transformational Leadership | 15% | - Definitions and benefits of DevOps - Leadership frameworks for change - Transformational leadership principles |
| Articulating and Realising Value | 10% | - Value outcomes and benefits realization - Communicating value to stakeholders - Investment cases and business justification |
| Becoming a DevOps Organisation | 15% | - Building safety and continuous improvement - Differences between DevOps and traditional IT - DevOps principles and adoption |
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NEW QUESTION # 22
Which of the following is a characteristic of a well-functioning team?
Answer: D
Explanation:
The correct answer is B because a well-functioning team has enough clarity, focus, and alignment that it is not constantly disrupted by changing priorities. In DevOps, frequent uncontrolled reprioritization damages flow, creates context switching, increases work in progress, delays completion, and weakens accountability. A team that reprioritizes infrequently is more likely to have stable goals, clear decision rules, and a shared understanding of what matters most.
The other options describe poor team functioning. A team unable to make decisions lacks autonomy or clarity.
An unaccountable team does not own outcomes or commitments. A team making slow progress toward goals may be blocked by dependencies, unclear priorities, excessive work in progress, or weak feedback loops.
This does not mean priorities never change. DevOps teams must remain responsive to customer feedback, incidents, risk, and business needs. However, effective teams manage priority changes deliberately rather than reactively. They protect focus while still learning and adapting. Relevant study guide references: Maintaining Energy and Momentum; DevOps and Transformational Leadership; Measuring to Improve; Target Operating Models and Organizational Designs.
NEW QUESTION # 23
What doesn't help to create a culture where people feel safe to fail?
Answer: C
Explanation:
The correct answer is B because allowing leaders to punish failure directly undermines psychological safety, learning, experimentation, and transparency. A DevOps culture depends on people being willing to surface problems, admit uncertainty, report incidents, share mistakes, and test improvements. If failure is punished, teams hide information, avoid risk, reduce experimentation, and focus on self-protection rather than organizational learning.
Making experimentation time explicit supports innovation and controlled learning. Shared accountabilities and goals reduce blame between functions because teams are aligned around common outcomes rather than departmental defensiveness. Using ChatOps to swarm incidents can improve collaboration, visibility, and collective problem-solving during operational events. These practices contribute to an environment where failure is treated as information that can improve the system.
This does not mean DevOps accepts negligence or lack of discipline. It means leaders distinguish between blameworthy behavior and the normal learning that occurs in complex systems. The goal is to create conditions where teams can learn quickly and safely from failure. Punitive leadership blocks that learning cycle. Relevant study guide references: DevOps and Transformational Leadership; Unlearning Behaviors; Maintaining Energy and Momentum; Measuring to Learn.
NEW QUESTION # 24
When preparing for a DevOps transformation, what technique can be used to create a shared vision of the need to change?
Answer: D
Explanation:
The correct answer is B because a value stream map is a strong technique for creating a shared view of why change is needed. Before a DevOps transformation can gain momentum, stakeholders must understand the current system of work: how demand enters, how work flows, where it waits, where it is handed off, where rework occurs, and where customer value is delayed. A value stream map makes these issues visible to everyone involved.
This shared visibility is important because transformation often fails when different teams hold different mental models of the problem. Development may see operations as a blocker, operations may see development as careless, and leadership may see only high-level delivery metrics. Value stream mapping helps replace assumptions and blame with a common evidence base. It allows stakeholders to see that many problems are systemic rather than caused by individual teams.
Kanban can help manage and visualize work, but the question asks about creating a shared vision of the need to change. Reengineering is broader and more disruptive. A change score card may track change but does not create the same end-to-end understanding. Relevant study guide references: Articulating and Socializing Vision; Measuring to Learn; Measuring to Improve; Becoming a DevOps Organization.
NEW QUESTION # 25
When an organization has adopted DevOps principles and practices, releasing a change to their applications and services can be described as which of the following?
Answer: A
Explanation:
In a mature DevOps organization, releasing change should become routine, low-risk, repeatable, and almost unremarkable - "like breathing." This reflects a shift away from large, infrequent, manually coordinated releases toward small, frequent, well-tested, automated, and observable changes. DevOps aims to make delivery safe by improving flow, feedback, collaboration, automation, deployment practices, monitoring, and learning from production.
Option A describes the traditional release pattern DevOps seeks to eliminate: large batches, long lead times, fragile deployments, and fear of failure. Option C also reflects an older operating model in which releases are treated as exceptional events requiring special windows, weekend work, and extensive coordination. Option D implies that release responsibility is isolated in a separate team, whereas DevOps promotes shared ownership across product, development, operations, security, and other stakeholders.
The key point is that DevOps does not simply accelerate release frequency; it changes the system so that frequent release becomes safe. Capabilities such as continuous integration, deployment automation, automated testing, feature flags, telemetry, rollback patterns, and blameless learning reduce the risk of change. Relevant study guide references: Becoming a DevOps Organization, Measuring to Improve, Measuring to Learn, and Target Operating Models and Organizational Designs.
NEW QUESTION # 26
According to Conway's Law, organizations tend to design systems that are copies of
Answer: D
Explanation:
The correct answer is C. Conway's Law states that organizations design systems that mirror their communication structures. In DevOps leadership, this principle is critical because system architecture is strongly influenced by organizational design. If teams are structured in silos, with separate development, testing, operations, security, and release functions, the technology often reflects those boundaries through handoffs, dependencies, integration delays, and fragmented ownership.
A DevOps organization attempts to reduce this friction by designing teams around products, services, or value streams. When cross-functional teams own delivery and operation end to end, the resulting systems are more likely to support fast flow, clearer accountability, and faster feedback. Conway's Law therefore explains why simply adopting tools or automation is insufficient if the underlying communication and team structures remain unchanged.
Previously designed systems, team diversity, and industry best practices may influence design choices, but they are not the central point of Conway's Law. The main leadership lesson is that organizational structure shapes technical outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 27
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