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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Target Operating Models and Organizational Design | 15% | - Desired Outcomes of DevOps - Conway's Law - DevOps Target Operating Model Design Principles |
| Topic 2: Measure to Improve | 5% | - Creating a Future Value Stream Map - The Improvement Kata and Experiments |
| Topic 3: Becoming a DevOps Organization | 17.5% | - Building Safety In - DevOps Kaizen - How DevOps Differs |
| Topic 4: Unlearning Behaviors | 12.5% | - Governance, Risk and Compliance (GRC) and DevOps - Mindset, Mental Models and Cognitive Bias - Psychological Safety and Neuroscience |
| Topic 5: Articulating and Socializing Vision | 15% | - Broadcasting Outside of Your Organization - Empowering People - Organizational Change in Large Enterprises |
| Topic 6: Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
| Topic 7: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Topic 8: DevOps and Transformational Leadership | 15% | - Transformational Leadership - Current Definitions of DevOps - Benefits of DevOps |
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NEW QUESTION # 35
What does every successful DevOps transformation start with?
Answer: A
Explanation:
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.
NEW QUESTION # 36
What characterizes the Fourth Industrial Revolution?
Answer: A
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 # 37
What does every successful DevOps transformation start with?
Answer: A
NEW QUESTION # 38
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 # 39
When you are writing a DevOps investment case, which of the following is a hard, quantifiable benefit you can state?
Answer: C
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 # 40
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