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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Mindset and mental models - Governance, risk and compliance in DevOps |
| Topic 2: Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Building safety and continuous improvement - Differences between DevOps and traditional IT |
| Topic 3: Target Operating Models and Organizational Design | 10% | - Conway's Law and organizational structure - Team structures and collaboration - Designing DevOps-aligned operating models |
| Topic 4: Measuring to Improve | 15% | - Value stream mapping - Avoiding measurement pitfalls - Meaningful metrics and indicators |
| Topic 5: Articulating and Realising Value | 10% | - Investment cases and business justification - Value outcomes and benefits realization - Communicating value to stakeholders |
| Topic 6: Leading Cultural Change | 5% | - Empowerment and participation - Driving behavioural and cultural transformation |
| Topic 7: Measuring to Learn | 15% | - Purpose of measurement - Evaluating DevOps performance - Tools and techniques for measurement |
| Topic 8: DevOps and Transformational Leadership | 15% | - Leadership frameworks for change - Transformational leadership principles - Definitions and benefits of DevOps |
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NEW QUESTION # 16
According to Conway's Law, organizations tend to design systems that are copies of
Answer: A
Explanation:
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.
NEW QUESTION # 17
Imran is a service transition manager in the IT Operations team in a publishing house. Imran feels that he and his colleagues could be working more closely with the developers of their publishing platforms, but he cannot influence the organization model so, in his view, IT Operations will always be a centralized team.
In order to achieve his goal of working more closely with the developers, what should Imran and his colleagues NOT do?
Answer: D
Explanation:
The correct answer is D because asking developers to provide requirements on a monthly basis reinforces a traditional handoff model rather than improving collaboration. Imran's challenge is that IT Operations remains centralized, but even within that constraint, Ops can adopt DevOps-aligned working practices that bring teams closer together. Monthly requirements gathering creates batching, delayed feedback, queueing, and separation between development and operations. It treats Ops as a downstream recipient of work rather than an active partner in delivery.
The other options are constructive patterns for improving collaboration without requiring an immediate reorganization. Shared services can help development teams consume reliable operational capabilities in a self-service way. Assigning an Ops liaison to feature teams creates a stronger communication bridge and helps operational considerations enter earlier in the lifecycle. Making Ops work visible on shared Kanban boards improves transparency, coordination, and flow.
DevOps does not require every organization to adopt the same structure immediately, but it does require reducing handoffs, improving visibility, and increasing shared ownership. Relevant study guide references:
Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 18
Which is NOT a characteristic of a DevOps culture?
Answer: B
Explanation:
The correct answer is D because DevOps culture depends on cross-functional collaboration. DevOps emerged to reduce the friction created by separated development, operations, testing, security, release, and business functions. When collaboration is discouraged, teams revert to silos, handoffs, blame, delayed feedback, and local optimization. That is the opposite of the cultural intent of DevOps.
The other options are positive DevOps cultural characteristics. Viewing failure as a learning opportunity supports psychological safety, experimentation, incident learning, and continuous improvement. Welcoming new ideas encourages innovation and helps teams challenge legacy assumptions. Sharing risks and responsibilities creates alignment across functions and reduces the "throw it over the wall" mentality that often exists in traditional IT.
A DevOps culture does not mean absence of discipline or accountability. It means teams use transparency, shared goals, evidence, and feedback to improve the system of work. Leaders should actively encourage collaboration across product, development, operations, security, and business stakeholders so that outcomes are owned collectively. Relevant study guide references: DevOps and Transformational Leadership; Unlearning Behaviors; Becoming a DevOps Organization; Maintaining Energy and Momentum.
NEW QUESTION # 19
What is a benefit of a squad model?
Answer: A
Explanation:
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.
NEW QUESTION # 20
When you are putting the customer upfront and center, what shouldn't you do?
Answer: A
Explanation:
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.
NEW QUESTION # 21
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