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| Section | Weight | Objectives |
|---|---|---|
| Measuring to Learn | 15% | - Evaluating DevOps performance - Purpose of measurement - Tools and techniques for measurement |
| Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Mindset and mental models - Governance, risk and compliance in DevOps |
| Articulating and Realising Value | 10% | - Communicating value to stakeholders - Value outcomes and benefits realization - Investment cases and business justification |
| Measuring to Improve | 15% | - Avoiding measurement pitfalls - Value stream mapping - Meaningful metrics and indicators |
| Target Operating Models and Organizational Design | 10% | - Designing DevOps-aligned operating models - Team structures and collaboration - Conway's Law and organizational structure |
| Becoming a DevOps Organisation | 15% | - Differences between DevOps and traditional IT - Building safety and continuous improvement - DevOps principles and adoption |
| Leading Cultural Change | 5% | - Empowerment and participation - Driving behavioural and cultural transformation |
| DevOps and Transformational Leadership | 15% | - Transformational leadership principles - Leadership frameworks for change - Definitions and benefits of DevOps |
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34. Frage
How is traditional IT organized?
Antwort: D
Begründung:
The correct answer is C because traditional IT is typically organized by function. Common examples include separate departments for development, testing, infrastructure, security, service desk, operations, architecture, change management, and release management. Each function has its own management structure, priorities, metrics, queues, and operating rhythm. This design can create specialization, but it often introduces delays, fragmented ownership, and handoffs across the delivery lifecycle.
DevOps challenges this model by focusing on end-to-end value streams and cross-functional ownership.
Instead of optimizing individual departments, DevOps seeks to optimize the whole system of work. Cross- functional cells or squads are therefore more consistent with a DevOps operating model than a traditional IT structure. Similarly, being optimized for flow and having fewer handoffs are DevOps characteristics because they support faster feedback, smaller batches, clearer accountability, and improved reliability.
Functional organization is a central reason traditional IT often struggles with slow delivery and operational instability. Work must pass between teams, creating queues, misalignment, and limited shared accountability for outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
35. Frage
When thinking of the dimensions of transformational leadership, which of the following is how we would expect a transformational leader to behave?
Antwort: A
Begründung:
A transformational leader is expected to orient people around a compelling shared vision and inspire them to move beyond narrow local interests, habits, or individual preferences. In a DevOps context, this is essential because transformation requires people to change long-established behaviors, cross functional boundaries, challenge legacy processes, and focus on outcomes that matter to the whole organization. Option D is the strongest answer because transformational leadership is associated with vision, purpose, inspiration, role modelling, and mobilizing people toward a future state.
Option A may appear positive, but it is closer to a transactional or contingent-reward behavior: recognition is given in response to specific performance. That can be useful, but it is not the defining behavior of transformational leadership. Option B is incorrect because accepting the status quo conflicts with transformation, continuous learning, and improvement. Option C is also incorrect because blame and humiliation damage psychological safety, reduce learning, and discourage transparency.
The DOL leadership theme emphasizes that DevOps change requires leaders who can articulate vision, challenge existing assumptions, build trust, and energize people through change. Relevant study guide references: DevOps and Transformational Leadership, Articulating and Socializing Vision, Unlearning Behaviors, and Maintaining Energy and Momentum.
36. Frage
Which of the following is NOT a good way to transform local discoveries into global improvements?
Antwort: A
Begründung:
The correct answer is C because having multiple source code repositories for each team can reinforce fragmentation, duplication, local optimization, and knowledge silos. Transforming local discoveries into global improvements requires mechanisms that make learning visible, reusable, and accessible across the organization. Separate team-specific repositories may be appropriate in some architectures, but as stated here, the practice does not inherently help spread discoveries across teams.
The other options are DevOps-aligned mechanisms for scaling learning. ChatOps can capture operational knowledge, make collaboration visible, and support rapid incident response. Automating standard processes in reusable software helps convert local improvements into repeatable organizational capabilities. Sharing user stories and automated tests as documentation spreads understanding of expected behavior, customer needs, and quality standards.
The broader principle is that high-performing DevOps organizations create feedback loops that allow one team's learning to improve the whole system. Local discoveries should become shared assets, reusable patterns, automation, documentation, and practices. Relevant study guide references: Measuring to Learn; Measuring to Improve; Maintaining Energy and Momentum; Becoming a DevOps Organization.
37. Frage
You are looking at the end-to-end value stream for the way a retail organization delivers a small enhancement to their ecommerce website. You find that the development teams involved are working in two week sprints but that the release team has a quarterly schedule.
How BEST can you describe to the teams involved what it is they need to consider?
Antwort: A
Begründung:
The correct answer is B because the scenario exposes a cadence mismatch across the value stream.
Development teams are producing increments every two weeks, but the release function operates quarterly.
This means the overall system cannot deliver value at the speed of the development sprint. Work accumulates, feedback is delayed, batch sizes grow, release risk increases, and the organization loses the benefit of fast iteration.
DevOps focuses on end-to-end flow, not isolated team efficiency. A team can appear agile locally while the total value stream remains constrained by downstream scheduling, governance, testing, release, or operational practices. Working to a compatible rhythm or cadence helps align planning, development, validation, deployment, feedback, and learning. It also supports smaller batches, faster customer feedback, and reduced release risk.
Option A is too narrow because reporting does not solve the structural flow problem. Option C may be useful in some contexts, but co-location is not the primary issue presented. Option D is also too absolute; automation can help, but it will not immediately resolve a misaligned operating cadence. Relevant study guide references:
Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
38. Frage
Which of the following is a desired outcome for DevOps?
Antwort: C
Begründung:
The correct answer is A because end-to-end lifecycle accountability is a core desired outcome of DevOps.
DevOps seeks to move away from fragmented ownership, where one group builds, another tests, another releases, and another operates. Instead, teams should share responsibility for the full lifecycle of a product or service, from idea and design through development, deployment, operation, feedback, and continual improvement.
This accountability improves flow because teams no longer optimize only their local function. It also improves quality and reliability because the people creating change are connected to operational outcomes and customer feedback. When teams own the lifecycle, they are more likely to build operable, secure, observable, and supportable services. This also reduces blame between departments and encourages learning from incidents and production behavior.
The other options describe traditional constraints that DevOps tries to reduce. Dependencies between teams slow delivery and create coordination burden. Significant upfront planning can delay learning and increase batch size. Handoffs between teams introduce queues, information loss, and weak accountability. Relevant study guide references: Becoming a DevOps Organization; Target Operating Models and Organizational Designs; Measuring to Improve; Measuring to Learn.
39. Frage
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