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| Section | Objectives |
|---|---|
| Articulating and Socializing Vision | - Communicating transformation strategy
|
| DevOps and Transformational Leadership | - Leadership principles for DevOps transformation
|
| Measuring to Improve | - Continuous improvement metrics
|
| Measuring to Learn | - Metrics and feedback loops
|
| Maintaining Energy and Momentum | - Sustaining DevOps transformation
|
| Unlearning Behaviors | - Psychological safety and cognitive bias
|
| Becoming a DevOps Organization | - Organizational transformation
|
| Target Operating Models and Organizational Design | - Designing DevOps organizations
|
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NEW QUESTION # 16
Which of the following is a characteristic of transformation as opposed to evolution?
Answer: B
Explanation:
The correct answer is A because transformation, when contrasted with evolution, is often characterized as a deliberate, directed, and orchestrated change effort, commonly driven from the top by a senior leader or small leadership group. It is typically planned around a defined future state and mobilized through vision, sponsorship, communication, and coordinated intervention. In DevOps leadership, this distinction matters because organizations frequently describe major change programs as "transformations" when they are actively steering people, structures, practices, and technology toward a new operating model.
The other options align more closely with evolutionary change. Empowered people participating, distributed authority, and systemic thinking are characteristics of an adaptive, emergent, and organization-wide evolution.
Evolution depends on many local decisions, learning loops, experiments, and adjustments across the system rather than centralized orchestration by one individual.
A DevOps Leader must understand both modes. Transformation can create urgency and direction, but evolution helps sustain learning and adaptation. Relevant study guide references: DevOps and Transformational Leadership; Maintaining Energy and Momentum; Articulating and Socializing Vision; Unlearning Behaviors.
NEW QUESTION # 17
Which is NOT a characteristic of a DevOps culture?
Answer: A
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 # 18
What is a benefit of a squad model?
Answer: D
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 # 19
Where should you start with your DevOps evolution?
Answer: D
Explanation:
The correct answer is D because DevOps evolution should begin with a value stream. DevOps is concerned with the end-to-end flow of work from idea to customer value, not merely with reorganizing departments, selecting a single application, or avoiding legacy systems. A value stream view allows leaders and teams to understand how work actually moves through the organization, where delays occur, where handoffs create friction, and where feedback is lost.
Starting with a reorganization is risky because structural change without understanding the system of work may simply recreate the same constraints in a new chart. Starting with an application can be too narrow unless it is examined within the broader value stream that delivers and operates it. Avoiding legacy systems is also not a reliable principle; legacy services may be central to business value and therefore important to include.
A value stream approach helps identify constraints, reduce waste, improve flow, and connect technical improvements to business outcomes. It also gives leaders a practical basis for measurement and improvement.
Relevant study guide references: Becoming a DevOps Organization; Measuring to Improve; Measuring to Learn; Target Operating Models and Organizational Designs.
NEW QUESTION # 20
How is traditional IT organized?
Answer: B
Explanation:
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.
NEW QUESTION # 21
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