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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining Energy and Momentum | 15% | - The DevOps Business Case - Culture and Climate - A High-Trust Culture |
| Topic 2: DevOps and Transformational Leadership | 15% | - Current Definitions of DevOps - Benefits of DevOps - Transformational Leadership |
| Topic 3: Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Topic 4: Unlearning Behaviors | 12.5% | - Psychological Safety and Neuroscience - Mindset, Mental Models and Cognitive Bias - Governance, Risk and Compliance (GRC) and DevOps |
| Topic 5: Becoming a DevOps Organization | 17.5% | - Building Safety In - How DevOps Differs - DevOps Kaizen |
| Topic 6: Articulating and Socializing Vision | 15% | - Empowering People - Broadcasting Outside of Your Organization - Organizational Change in Large Enterprises |
| Topic 7: Target Operating Models and Organizational Design | 15% | - Conway's Law - DevOps Target Operating Model Design Principles - Desired Outcomes of DevOps |
| Topic 8: Measure to Learn | 5% | - Avoiding Measure to Target - Creating a Current Value Stream Map |
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33. Frage
Which of the following is a characteristic of transformation as opposed to evolution?
Antwort: A
Begründung:
The correct answer is A because transformation, when contrasted with evolution, is often characterized as a deliberate, directed, and orchestrated change effort, commonly driven from the top by a senior leader or small leadership group. It is typically planned around a defined future state and mobilized through vision, sponsorship, communication, and coordinated intervention. In DevOps leadership, this distinction matters because organizations frequently describe major change programs as "transformations" when they are actively steering people, structures, practices, and technology toward a new operating model.
The other options align more closely with evolutionary change. Empowered people participating, distributed authority, and systemic thinking are characteristics of an adaptive, emergent, and organization-wide evolution.
Evolution depends on many local decisions, learning loops, experiments, and adjustments across the system rather than centralized orchestration by one individual.
A DevOps Leader must understand both modes. Transformation can create urgency and direction, but evolution helps sustain learning and adaptation. Relevant study guide references: DevOps and Transformational Leadership; Maintaining Energy and Momentum; Articulating and Socializing Vision; Unlearning Behaviors.
34. Frage
Thierry is a salesperson at an organization that provides trading software to banking clients. His clients are telling him they are unhappy with the rate at which changes are being made to Thierry's software. Thierry can see that the IT department is extremely busy, but seems to be struggling to deliver anything.
What will help the IT department focus on delivering what the clients need?
Antwort: A
Begründung:
The correct answer is A because the core issue is not that the IT department lacks activity; it is that effort is not translating into customer-valued outcomes. DevOps leadership shifts focus from local productivity, task completion, and departmental busyness toward end-to-end value delivery. A feature is not truly "done" merely because development is complete, testing has passed, or a release has occurred. It is done when the intended customer value has been realized and validated.
In this scenario, Thierry's banking clients are dissatisfied with the rate of meaningful change. The IT department appears overloaded, but the business problem is customer responsiveness. Defining done as
"customer value outcome realized" aligns IT work with client needs, improves prioritization, and encourages teams to measure outcomes rather than outputs. This helps reveal whether work is flowing to production, whether it is usable, whether it solves the customer problem, and whether feedback is being incorporated.
A "Do Not Fail" culture would likely reduce experimentation and learning. Disseminating information is useful but insufficient. Measuring cost and capacity may support planning, but it does not by itself align work to customer value. Relevant study guide areas include Becoming a DevOps Organization, Measuring to Learn, Measuring to Improve, and Articulating and Socializing Vision.
35. Frage
What is a mirror metric for % Rework in the context of Value Stream Mapping?
Antwort: D
36. Frage
What is one of Kotter's principles of a Dual Operating System?
Antwort: B
Begründung:
The correct answer is D. Kotter's Dual Operating System emphasizes the need to run transformation through a second, more agile network alongside the traditional hierarchy. One of its principles is a "get-to" mindset rather than a "have-to" mindset. This means people participate because they are emotionally and intellectually committed to the opportunity, not simply because management has mandated compliance.
This is highly relevant to DevOps leadership because sustainable change cannot be achieved only through policy, structure, or tool adoption. Teams must understand the purpose of the transformation and feel motivated to contribute to better flow, faster feedback, improved resilience, and customer value. A "get-to" mindset creates voluntary energy, ownership, and momentum.
The other options are incorrect. Kotter does not advocate more management or simply enhancing hierarchy.
Nor is transformation only "head driven"; successful change engages both head and heart. Relevant study guide references: Maintaining Energy and Momentum; DevOps and Transformational Leadership; Articulating and Socializing Vision.
37. Frage
What does every successful DevOps transformation start with?
Antwort: B
Begründung:
The correct answer is B because successful DevOps transformation begins by understanding the value stream.
DevOps is not primarily a tooling program, a developer-led takeover of operations, or an isolated grassroots movement. It is an organizational evolution focused on improving the flow of value from idea to customer outcome while increasing quality, reliability, feedback, and learning.
A value stream mapping exercise provides the shared visibility required to start that evolution intelligently. It shows how work actually moves through the organization, where delays occur, where handoffs exist, where rework is created, where approvals slow flow, and where constraints limit delivery. Without this view, organizations often automate the wrong process, reorganize around assumptions, or invest in tools that do not address the real bottleneck.
Tools may become important later, and grassroots energy can help sustain change, but neither replaces the need for a clear view of the end-to-end system. Value stream mapping creates the factual baseline for improvement and alignment. Relevant study guide references: Becoming a DevOps Organization; Measuring to Improve; Measuring to Learn; Target Operating Models and Organizational Designs.
38. Frage
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