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| Section | Objectives |
|---|---|
| Topic 1: Becoming a DevOps Organization | - Organizational transformation
|
| Topic 2: Target Operating Models and Organizational Design | - Designing DevOps organizations
|
| Topic 3: DevOps and Transformational Leadership | - Leadership principles for DevOps transformation
|
| Topic 4: Unlearning Behaviors | - Psychological safety and cognitive bias
|
| Topic 5: Measuring to Learn | - Metrics and feedback loops
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| Topic 6: Measuring to Improve | - Continuous improvement metrics
|
| Topic 7: Articulating and Socializing Vision | - Communicating transformation strategy
|
| Topic 8: Maintaining Energy and Momentum | - Sustaining DevOps transformation
|
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NEW QUESTION # 14
What characterizes the Fourth Industrial Revolution?
Answer: C
Explanation:
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.
NEW QUESTION # 15
What is a benefit of a squad model?
Answer: B
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 # 16
What is a mirror metric for % Rework in the context of Value Stream Mapping?
Answer: A
Explanation:
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.
NEW QUESTION # 17
What doesn't a Value Stream Map do?
Answer: D
Explanation:
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.
NEW QUESTION # 18
According to Conway's Law, organizations tend to design systems that are copies of
Answer: B
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 # 19
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