市場には試験に関する多くの学習資料があるため、当社からDevOps-Leader準備ガイドを選択する決定を下すことは容易ではありません。ただし、当社からDevOps-Leaderテストプラクティスファイルを購入することに決めた場合は、ここ数年で行った最良の決定の1つになることをお知らせします。私たちに知られているように、当社のDevOps-Leader準備資料は、この分野の有名な専門家や教授の多くによって設計されています。 DevOps-Leader準備ガイドが想像を超えた高品質であることは間違いありません。
| Section | Weight | Objectives |
|---|---|---|
| Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Differences between DevOps and traditional IT - Building safety and continuous improvement |
| Unlearning Behaviors | 15% | - Mindset and mental models - Governance, risk and compliance in DevOps - Cognitive bias and psychological safety |
| DevOps and Transformational Leadership | 15% | - Definitions and benefits of DevOps - Leadership frameworks for change - Transformational leadership principles |
| Articulating and Realising Value | 10% | - Investment cases and business justification - Communicating value to stakeholders - Value outcomes and benefits realization |
| Target Operating Models and Organizational Design | 10% | - Conway's Law and organizational structure - Designing DevOps-aligned operating models - Team structures and collaboration |
| Measuring to Learn | 15% | - Purpose of measurement - Tools and techniques for measurement - Evaluating DevOps performance |
| Measuring to Improve | 15% | - Avoiding measurement pitfalls - Meaningful metrics and indicators - Value stream mapping |
| Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
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質問 # 25
What is a mirror metric for % Rework in the context of Value Stream Mapping?
正解：B
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 # 26
What is the key metric for DevOps teams over traditional IT teams?
正解：B
解説：
The key metric for DevOps teams is flow. Traditional IT management often emphasizes cost control, resource utilization, capacity, and individual productivity. While those measures can be useful, they frequently optimize local activity rather than end-to-end value delivery. DevOps instead focuses on how work flows from idea to customer outcome: how quickly, safely, and predictably value moves through the system.
Flow-oriented measurement helps leaders identify constraints, queues, handoffs, rework, excessive work in progress, long lead times, failed changes, and feedback delays. This is critical because a team may appear fully utilized and productive while customers still experience slow delivery and unstable services. DevOps teams therefore measure outcomes and system performance rather than only internal effort. Common flow- related measures include lead time, deployment frequency, change failure rate, mean time to restore service, throughput, work in progress, and wait time.
Cost and capacity are not irrelevant, but when they become the dominant measures, they can encourage silo optimization and high utilization at the expense of speed and resilience. Productivity is also difficult to interpret unless connected to value. Relevant study guide references: Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
質問 # 27
According to Conway's Law, organizations tend to design systems that are copies of
正解：D
解説：
The correct answer is C. Conway's Law states that organizations design systems that mirror their communication structures. In DevOps leadership, this principle is critical because system architecture is strongly influenced by organizational design. If teams are structured in silos, with separate development, testing, operations, security, and release functions, the technology often reflects those boundaries through handoffs, dependencies, integration delays, and fragmented ownership.
A DevOps organization attempts to reduce this friction by designing teams around products, services, or value streams. When cross-functional teams own delivery and operation end to end, the resulting systems are more likely to support fast flow, clearer accountability, and faster feedback. Conway's Law therefore explains why simply adopting tools or automation is insufficient if the underlying communication and team structures remain unchanged.
Previously designed systems, team diversity, and industry best practices may influence design choices, but they are not the central point of Conway's Law. The main leadership lesson is that organizational structure shapes technical outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
質問 # 28
What does every successful DevOps transformation start with?
正解：C
解説：
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.
質問 # 29
What is a benefit of a squad model?
正解：B
解説：
The correct answer is D because the squad model can both provide an effective way to scale DevOps teams and reduce the management overhead associated with silo-based structures. Squads are small, dedicated, cross- functional teams aligned to a product, service, customer journey, or value stream. They bring together the skills needed to build, test, release, operate, and improve services with fewer handoffs and less dependency on separate functional departments.
This model supports DevOps scaling because multiple squads can operate with clear ownership while coordinating through chapters, guilds, tribes, or other lightweight structures. It also reduces the overhead created by traditional silos, where work must be passed between separate teams with different priorities, queues, managers, and measures. By increasing autonomy and end-to-end accountability, squads improve flow and feedback.
Option B is incorrect because centralized control of planning is not the primary benefit of squads. In fact, DevOps-aligned squad models usually favor decentralized decision-making within aligned strategic boundaries. The goal is not uncontrolled independence, but fast local decision-making connected to shared purpose and outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
質問 # 30
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