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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Target Operating Models and Organizational Design | 15% | - DevOps Target Operating Model Design Principles - Desired Outcomes of DevOps - Conway's Law |
| Topic 2: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Topic 3: Unlearning Behaviors | 12.5% | - Governance, Risk and Compliance (GRC) and DevOps - Psychological Safety and Neuroscience - Mindset, Mental Models and Cognitive Bias |
| Topic 4: Articulating and Socializing Vision | 15% | - Empowering People - Organizational Change in Large Enterprises - Broadcasting Outside of Your Organization |
| Topic 5: Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
| Topic 6: Measure to Improve | 5% | - Creating a Future Value Stream Map - The Improvement Kata and Experiments |
| Topic 7: DevOps and Transformational Leadership | 15% | - Transformational Leadership - Benefits of DevOps - Current Definitions of DevOps |
| Topic 8: Becoming a DevOps Organization | 17.5% | - Building Safety In - DevOps Kaizen - How DevOps Differs |
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質問 # 29
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 # 30
What is a mirror metric for % Rework in the context of Value Stream Mapping?
正解：B
質問 # 31
How is traditional IT organized?
正解：A
解説：
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.
質問 # 32
What characterizes the Fourth Industrial Revolution?
正解：D
解説：
The correct answer is B. The Fourth Industrial Revolution is characterized by the convergence of cyber- physical systems, artificial intelligence, the Internet of Things, advanced automation, data-driven decision- making, and highly connected digital ecosystems. In the DevOps Leader context, this matters because organizations are operating in an environment where speed, adaptability, resilience, security, and continuous learning are essential.
The other options correspond more closely to earlier industrial revolutions. The steam engine is associated with the First Industrial Revolution. Mass production is associated with the Second Industrial Revolution.
Digital and automation are more closely associated with the Third Industrial Revolution, where computing and electronics transformed production and business processes.
The Fourth Industrial Revolution increases pressure on organizations to respond rapidly to customer needs, market changes, cyber threats, and technological disruption. DevOps provides a leadership and operating model for this environment by improving flow, feedback, experimentation, automation, and collaboration across business and technology teams. Relevant study guide references: DevOps and Transformational Leadership; Becoming a DevOps Organization; Articulating and Socializing Vision.
質問 # 33
Which of the following is a desired outcome for DevOps?
正解：B
解説：
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.
質問 # 34
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