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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measuring to Learn | 15% | - Purpose of measurement - Evaluating DevOps performance - Tools and techniques for measurement |
| Topic 2: Articulating and Realising Value | 10% | - Value outcomes and benefits realization - Communicating value to stakeholders - Investment cases and business justification |
| Topic 3: DevOps and Transformational Leadership | 15% | - Definitions and benefits of DevOps - Leadership frameworks for change - Transformational leadership principles |
| Topic 4: Measuring to Improve | 15% | - Value stream mapping - Avoiding measurement pitfalls - Meaningful metrics and indicators |
| Topic 5: Unlearning Behaviors | 15% | - Governance, risk and compliance in DevOps - Mindset and mental models - Cognitive bias and psychological safety |
| Topic 6: Target Operating Models and Organizational Design | 10% | - Designing DevOps-aligned operating models - Team structures and collaboration - Conway's Law and organizational structure |
| Topic 7: Becoming a DevOps Organisation | 15% | - Differences between DevOps and traditional IT - DevOps principles and adoption - Building safety and continuous improvement |
| Topic 8: Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
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NEW QUESTION # 37
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 # 38
Which of the following is a Beyond Budgeting principle?
Answer: C
Explanation:
The correct answer is B because Beyond Budgeting promotes adaptive management, decentralized decision- making, transparency, trust, and accountable teams. It challenges traditional annual budgeting practices that rely heavily on fixed targets, centralized control, rigid planning cycles, and performance evaluation tied narrowly to budget adherence or reward mechanisms. In DevOps, this is highly relevant because fast flow and learning require funding and governance models that support adaptability.
Cultivating belonging and organizing around accountable teams aligns with DevOps operating models where teams own products, services, or value streams end to end. These teams require enough autonomy to respond to customer feedback, operational data, changing priorities, and emerging risks. Strong belonging also supports collaboration, shared purpose, and psychological safety.
Options A, C, and D reflect traditional command-and-control budgeting and governance. Rules and regulations, fixed cascaded targets, and measurement only for rewards can drive local optimization, gaming of metrics, and resistance to learning. Beyond Budgeting instead supports relative goals, dynamic planning, empowered teams, and continuous resource allocation. Relevant study guide references: Target Operating Models and Organizational Designs; Measuring to Improve; Becoming a DevOps Organization.
NEW QUESTION # 39
What is a characteristic of a Teal organization?
Answer: A
Explanation:
The correct answer is D because Teal organizations are characterized by self-management, distributed authority, evolutionary purpose, and high levels of peer accountability. In a Teal model, people are not primarily controlled through rigid hierarchy, layers of middle management, or extensive command-and- control mechanisms. Instead, teams organize around shared purpose and are accountable to one another for achieving collective outcomes.
This idea is relevant to DevOps because high-performing DevOps organizations often require more autonomy, faster local decision-making, and stronger team ownership than traditional functional structures allow. Teams closest to the work need enough authority to improve flow, respond to feedback, resolve constraints, and deliver value safely. Peer accountability supports this because responsibility is embedded in the team rather than imposed only through managerial escalation.
Options A, B, and C describe more traditional or mechanistic organizational models. Viewing the organization as a machine, relying on multiple management layers, and using prevalent control mechanisms are inconsistent with Teal principles. DevOps leaders may not convert an entire enterprise to Teal, but the concepts help explain why autonomy, trust, and self-organization matter. Relevant study guide references:
Target Operating Models and Organizational Designs; DevOps and Transformational Leadership; Maintaining Energy and Momentum.
NEW QUESTION # 40
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 # 41
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 # 42
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