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| Section | Weight | Objectives |
|---|---|---|
| DevOps and Transformational Leadership | 15% | - Leadership frameworks for change - Definitions and benefits of DevOps - Transformational leadership principles |
| Measuring to Learn | 15% | - Evaluating DevOps performance - Tools and techniques for measurement - Purpose of measurement |
| Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Mindset and mental models - Governance, risk and compliance in DevOps |
| Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Building safety and continuous improvement - Differences between DevOps and traditional IT |
| Articulating and Realising Value | 10% | - Communicating value to stakeholders - Value outcomes and benefits realization - Investment cases and business justification |
| Target Operating Models and Organizational Design | 10% | - Team structures and collaboration - Designing DevOps-aligned operating models - Conway's Law and organizational structure |
| Measuring to Improve | 15% | - Value stream mapping - Avoiding measurement pitfalls - Meaningful metrics and indicators |
| Leading Cultural Change | 5% | - Empowerment and participation - Driving behavioural and cultural transformation |
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33. Frage
When you are putting the customer upfront and center, what shouldn't you do?
Antwort: D
Begründung:
The correct answer is A because customer-centric DevOps decision-making should be based on evidence, feedback, and validated learning rather than hierarchy. The "highest paid person's opinion" problem, often called HiPPO-driven decision-making, occurs when seniority overrides customer evidence, operational data, team insight, or experiment results. This is especially harmful in DevOps evolution because it reinforces command-and-control behavior and prevents organizations from learning from the actual users of the system.
Putting the customer upfront and center means using customer feedback, telemetry, usage data, support patterns, market signals, and outcome measures to guide prioritization and improvement. Pulling improvement ideas from customers is appropriate because it connects delivery to real needs. Using live- streaming reaction and prediction services can help organizations understand behavior and sentiment quickly.
Being data-driven supports faster feedback and better product decisions.
A DevOps leader should create conditions where decisions are informed by the people closest to the customer, the work, and the evidence. Relevant study guide references: Measuring to Learn; Becoming a DevOps Organization; DevOps and Transformational Leadership; Articulating and Socializing Vision.
34. Frage
Bernhard is an expert tester and whilst he likes the new model his organization has chosen, which means he is in a cross-functional team, he also misses working in a group of testers and sharing best practice and knowledge. He goes to his chapter meetups but wants a broader community to work with on the emerging artificial intelligence based testing automation tools becoming available in the market.
What could Bernhard do?
Antwort: A
Begründung:
The correct answer is A because a guild is an appropriate structure for a broader community of interest that spans teams, squads, chapters, or tribes. Bernhard already participates in chapter meetups, which typically connect people with the same discipline or competency area, such as testing. However, his need is more specific and broader: collaboration around emerging AI-based testing automation tools across the organization.
A guild allows interested practitioners to voluntarily share knowledge, develop practices, explore tools, run experiments, and build capability around a shared topic. This fits the DevOps principle of enabling decentralized learning while avoiding the return to rigid functional silos. It also supports communities of practice, which help specialists maintain professional excellence while still contributing to cross-functional delivery teams.
Option B introduces unnecessary hierarchy. Option C is incorrect because squads are delivery teams, not communities for specialist knowledge sharing. Option D may help locally, but it is narrower than forming a guild and depends on the chapter lead rather than creating an open community. Relevant study guide references: Target Operating Models and Organizational Designs; Maintaining Energy and Momentum; Becoming a DevOps Organization.
35. Frage
What is one of Kotter's principles of a Dual Operating System?
Antwort: C
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.
36. Frage
In an organization where blame is part of the culture, what happens?
Antwort: B
Begründung:
The correct answer is B. In a blame culture, open minds close. When people expect punishment, criticism, or reputational damage after mistakes, they become defensive. They hide problems, reduce transparency, avoid experimentation, and protect themselves rather than improving the system. This directly conflicts with DevOps principles of learning, psychological safety, feedback, and continuous improvement.
Blame prevents organizations from understanding the real causes of failure. Incidents in complex technology environments are rarely the result of a single person making a simple mistake. They usually emerge from system conditions such as unclear ownership, excessive work in progress, weak controls, poor feedback, brittle architecture, manual processes, or conflicting incentives. A blame culture focuses attention on individuals instead of improving those conditions.
The other options are incorrect because blame reduces learning, inquiry, and innovation. People do not ask better questions when they feel unsafe; they ask fewer questions. DevOps leaders must replace blame with blameless learning, constructive inquiry, and shared accountability. Relevant study guide references:
Unlearning Behaviors; DevOps and Transformational Leadership; Measuring to Learn; Maintaining Energy and Momentum.
37. Frage
What doesn't a Value Stream Map do?
Antwort: B
Begründung:
The correct answer is D because a Value Stream Map primarily makes the current system of work visible; it does not automatically determine or implement the corrective actions required to remove waste. A value stream map helps teams see how work flows from demand to value realization, including handoffs, delays, queues, wait time, process time, rework, dependencies, and bottlenecks. This creates a shared factual basis for improvement, but the map itself is a diagnostic and collaboration tool, not a complete solution design.
Options A, B, and C describe core benefits of value stream mapping. It provides a time diagnostic by exposing elapsed time versus active work time. It helps visual collaboration because stakeholders can collectively inspect the end-to-end system rather than debating isolated departmental views. It identifies waste by surfacing non-value-adding activities, excessive approvals, rework, waiting, batching, and unnecessary handoffs.
Once waste is visible, teams can then design experiments, improvement actions, future-state maps, automation opportunities, policy changes, or organizational adjustments. Relevant study guide references:
Measuring to Improve; Measuring to Learn; Becoming a DevOps Organization; Target Operating Models and Organizational Designs.
38. Frage
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