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Peoplecert DevOps-Leader Exam Syllabus Topics:

SectionObjectives
Topic 1: Maintaining Energy and Momentum- Sustaining DevOps transformation
  • 1. Long-term change reinforcement
    • 2. Team motivation and resilience
      Topic 2: DevOps and Transformational Leadership- Leadership principles for DevOps transformation
      • 1. Transformational leadership practices in DevOps adoption
        • 2. Golden Circle and Lean Strategic Change Canvas
          Topic 3: Target Operating Models and Organizational Design- Designing DevOps organizations
          • 1. Conway's Law implications
            • 2. Teal organization concepts
              Topic 4: Measuring to Improve- Continuous improvement metrics
              • 1. Flow efficiency and throughput metrics
                • 2. Avoiding vanity metrics
                  Topic 5: Measuring to Learn- Metrics and feedback loops
                  • 1. Learning-oriented measurement practices
                    • 2. Value stream mapping basics
                      Topic 6: Becoming a DevOps Organization- Organizational transformation
                      • 1. Cultural and structural change models
                        • 2. Adopting DevOps principles at scale
                          Topic 7: Articulating and Socializing Vision- Communicating transformation strategy
                          • 1. Stakeholder engagement strategies
                            • 2. Storytelling for leadership alignment
                              Topic 8: Unlearning Behaviors- Psychological safety and cognitive bias
                              • 1. GRC (Governance, Risk, Compliance) in DevOps culture
                                • 2. Mental models and behavior change

                                  >> DevOps-Leader合格問題 <<

                                  効果的DevOps-Leader|便利なDevOps-Leader合格問題試験|試験の準備方法DevOps Leader v2.2 Examテスト問題集

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                                  Peoplecert DevOps Leader v2.2 Exam 認定 DevOps-Leader 試験問題 (Q23-Q28):

                                  質問 # 23
                                  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?

                                  正解:B

                                  解説:
                                  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.


                                  質問 # 24
                                  What is a mirror metric for % Rework in the context of Value Stream Mapping?

                                  正解:C

                                  解説:
                                  The correct answer is B because "% Complete and Accurate" is effectively the mirror metric of "% Rework." In value stream mapping, teams need to understand not only how long work takes, but also the quality of the work as it moves between steps. If work arrives incomplete, incorrect, unclear, or unusable, downstream teams must spend time clarifying, correcting, or repeating work. That creates rework, delays, queues, frustration, and reduced flow efficiency.
                                  "% Complete and Accurate" measures the proportion of work that can proceed without needing correction or additional information. A higher complete-and-accurate percentage indicates better upstream quality and smoother flow. Conversely, a high rework percentage indicates that defects, missing information, poor requirements, weak handoffs, or inadequate validation are causing work to loop backward through the system.
                                  The other options are not the correct mirror metric. Unplanned work and planned work describe work-type allocation, not quality of transfer. Repeated work is similar in meaning to rework, but it is not the recognized inverse measurement. Relevant study guide references: Measuring to Improve; Value Stream Mapping; Measuring to Learn; Becoming a DevOps Organization.


                                  質問 # 25
                                  What is one of Kotter's principles of a Dual Operating System?

                                  正解:B

                                  解説:
                                  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.


                                  質問 # 26
                                  What doesn't a Value Stream Map do?

                                  正解:C

                                  解説:
                                  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.


                                  質問 # 27
                                  In an organization where blame is part of the culture, what happens?

                                  正解:C

                                  解説:
                                  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.


                                  質問 # 28
                                  ......

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