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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Topic 2: DevOps and Transformational Leadership | 15% | - Benefits of DevOps - Current Definitions of DevOps - Transformational Leadership |
| Topic 3: Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Topic 4: Unlearning Behaviors | 12.5% | - Mindset, Mental Models and Cognitive Bias - Governance, Risk and Compliance (GRC) and DevOps - Psychological Safety and Neuroscience |
| Topic 5: Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
| Topic 6: Target Operating Models and Organizational Design | 15% | - Conway's Law - DevOps Target Operating Model Design Principles - Desired Outcomes of DevOps |
| Topic 7: Articulating and Socializing Vision | 15% | - Broadcasting Outside of Your Organization - Organizational Change in Large Enterprises - Empowering People |
| Topic 8: Becoming a DevOps Organization | 17.5% | - How DevOps Differs - Building Safety In - DevOps Kaizen |
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NEW QUESTION # 27
In Kolb's Learning Styles, when a person is thinking and watching, what are they doing?
Answer: A
Explanation:
The correct answer is B. In Kolb's Learning Styles model, "thinking and watching" corresponds to Assimilating. Kolb's model combines two dimensions: how people perceive information and how they process it. "Thinking" aligns with abstract conceptualization, while "watching" aligns with reflective observation. Together, these form the Assimilating learning style.
Assimilating learners tend to prefer logical analysis, structured models, concepts, theories, and reflective understanding. They often want to understand the "why" behind a practice before applying it. In DevOps leadership, recognizing different learning styles is useful because transformation requires people to learn new behaviors, unlearn old assumptions, and adopt new ways of working. A leader who only communicates through one style may fail to engage the whole organization.
The other styles map differently. Diverging is feeling and watching. Converging is thinking and doing.
Accommodating is feeling and doing. DevOps leaders should support learning through explanation, experimentation, reflection, practice, and feedback so that different learning preferences are addressed.
Relevant study guide references: Unlearning Behaviors; Maintaining Energy and Momentum; DevOps and Transformational Leadership.
NEW QUESTION # 28
What does every successful DevOps transformation start with?
Answer: A
NEW QUESTION # 29
When you are writing a DevOps investment case, which of the following is a hard, quantifiable benefit you can state?
Answer: B
Explanation:
The correct answer is A because revenue from accelerating time to value is a hard, quantifiable business benefit. A DevOps investment case must translate improvement activity into measurable organizational outcomes. Faster delivery of valuable functionality can directly affect revenue by enabling earlier market entry, quicker customer adoption, faster realization of product enhancements, and reduced delay cost.
Customer satisfaction, competitive advantage, and market perception are important, but they are generally softer or less directly quantifiable unless converted into measurable indicators. For example, customer satisfaction may be tracked through NPS or churn, and competitive advantage may influence revenue, but the option that most directly expresses a financial benefit is accelerated revenue from faster time to value.
DevOps leaders need this distinction when building executive support. Tooling, automation, team redesign, continuous delivery, and value stream improvement should not be justified only as technical improvements.
They should be linked to financial and operational outcomes such as increased revenue, reduced cost of delay, lower change failure cost, faster recovery, and improved capacity for innovation. Relevant study guide references: Measuring to Improve; Measuring to Learn; Becoming a DevOps Organization.
NEW QUESTION # 30
Which of the following describes a characteristic of a traditional IT organization rather than a DevOps organization?
Answer: A
Explanation:
The correct answer is C because traditional IT organizations commonly measure performance through cost control, resource utilization, capacity management, budget adherence, and departmental efficiency. These measures are not inherently useless, but they often encourage local optimization rather than end-to-end value delivery. A team may appear efficient because it is fully utilized or operating within budget, while the overall system still suffers from long lead times, excessive queues, poor feedback, and unstable releases.
A DevOps organization shifts emphasis toward flow, value, outcomes, learning, and resilience. Measuring on flow means examining how work moves from concept to customer value, including constraints, delays, handoffs, change failure, and recovery. Defining done as "value outcome realized" is also DevOps-aligned because it connects work completion to customer or business impact, not just task completion. Decentralized and continuous scheduling further reflects DevOps delivery patterns where teams release smaller changes more frequently.
Therefore, cost and capacity measurement is the characteristic most associated with traditional IT. Relevant study guide references: Target Operating Models and Organizational Designs; Measuring to Improve; Becoming a DevOps Organization.
NEW QUESTION # 31
According to Conway's Law, organizations tend to design systems that are copies of
Answer: C
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 # 32
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