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| Section | Weight | Objectives |
|---|---|---|
| Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Unlearning Behaviors | 12.5% | - Psychological Safety and Neuroscience - Governance, Risk and Compliance (GRC) and DevOps - Mindset, Mental Models and Cognitive Bias |
| Articulating and Socializing Vision | 15% | - Empowering People - Organizational Change in Large Enterprises - Broadcasting Outside of Your Organization |
| Maintaining Energy and Momentum | 15% | - A High-Trust Culture - Culture and Climate - The DevOps Business Case |
| Target Operating Models and Organizational Design | 15% | - DevOps Target Operating Model Design Principles - Conway's Law - Desired Outcomes of DevOps |
| DevOps and Transformational Leadership | 15% | - Transformational Leadership - Benefits of DevOps - Current Definitions of DevOps |
| Becoming a DevOps Organization | 17.5% | - Building Safety In - DevOps Kaizen - How DevOps Differs |
| Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
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NEW QUESTION # 15
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 # 16
When thinking of the dimensions of transformational leadership, which of the following is how we would expect a transformational leader to behave?
Answer: A
Explanation:
A transformational leader is expected to orient people around a compelling shared vision and inspire them to move beyond narrow local interests, habits, or individual preferences. In a DevOps context, this is essential because transformation requires people to change long-established behaviors, cross functional boundaries, challenge legacy processes, and focus on outcomes that matter to the whole organization. Option D is the strongest answer because transformational leadership is associated with vision, purpose, inspiration, role modelling, and mobilizing people toward a future state.
Option A may appear positive, but it is closer to a transactional or contingent-reward behavior: recognition is given in response to specific performance. That can be useful, but it is not the defining behavior of transformational leadership. Option B is incorrect because accepting the status quo conflicts with transformation, continuous learning, and improvement. Option C is also incorrect because blame and humiliation damage psychological safety, reduce learning, and discourage transparency.
The DOL leadership theme emphasizes that DevOps change requires leaders who can articulate vision, challenge existing assumptions, build trust, and energize people through change. Relevant study guide references: DevOps and Transformational Leadership, Articulating and Socializing Vision, Unlearning Behaviors, and Maintaining Energy and Momentum.
NEW QUESTION # 17
Which of the following is NOT a good way to transform local discoveries into global improvements?
Answer: C
Explanation:
The correct answer is C because having multiple source code repositories for each team can reinforce fragmentation, duplication, local optimization, and knowledge silos. Transforming local discoveries into global improvements requires mechanisms that make learning visible, reusable, and accessible across the organization. Separate team-specific repositories may be appropriate in some architectures, but as stated here, the practice does not inherently help spread discoveries across teams.
The other options are DevOps-aligned mechanisms for scaling learning. ChatOps can capture operational knowledge, make collaboration visible, and support rapid incident response. Automating standard processes in reusable software helps convert local improvements into repeatable organizational capabilities. Sharing user stories and automated tests as documentation spreads understanding of expected behavior, customer needs, and quality standards.
The broader principle is that high-performing DevOps organizations create feedback loops that allow one team's learning to improve the whole system. Local discoveries should become shared assets, reusable patterns, automation, documentation, and practices. Relevant study guide references: Measuring to Learn; Measuring to Improve; Maintaining Energy and Momentum; Becoming a DevOps Organization.
NEW QUESTION # 18
According to Conway's Law, organizations tend to design systems that are copies of
Answer: D
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
What is the key metric for DevOps teams over traditional IT teams?
Answer: D
Explanation:
The key metric for DevOps teams is flow. Traditional IT management often emphasizes cost control, resource utilization, capacity, and individual productivity. While those measures can be useful, they frequently optimize local activity rather than end-to-end value delivery. DevOps instead focuses on how work flows from idea to customer outcome: how quickly, safely, and predictably value moves through the system.
Flow-oriented measurement helps leaders identify constraints, queues, handoffs, rework, excessive work in progress, long lead times, failed changes, and feedback delays. This is critical because a team may appear fully utilized and productive while customers still experience slow delivery and unstable services. DevOps teams therefore measure outcomes and system performance rather than only internal effort. Common flow- related measures include lead time, deployment frequency, change failure rate, mean time to restore service, throughput, work in progress, and wait time.
Cost and capacity are not irrelevant, but when they become the dominant measures, they can encourage silo optimization and high utilization at the expense of speed and resilience. Productivity is also difficult to interpret unless connected to value. Relevant study guide references: Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
NEW QUESTION # 20
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