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| Section | Weight | Objectives |
|---|---|---|
| Target Operating Models and Organizational Design | 10% | - Conway's Law and organizational structure - Designing DevOps-aligned operating models - Team structures and collaboration |
| Measuring to Improve | 15% | - Value stream mapping - Avoiding measurement pitfalls - Meaningful metrics and indicators |
| Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
| Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Building safety and continuous improvement - Differences between DevOps and traditional IT |
| Measuring to Learn | 15% | - Purpose of measurement - Evaluating DevOps performance - Tools and techniques for measurement |
| Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Governance, risk and compliance in DevOps - Mindset and mental models |
| DevOps and Transformational Leadership | 15% | - Definitions and benefits of DevOps - Transformational leadership principles - Leadership frameworks for change |
| Articulating and Realising Value | 10% | - Value outcomes and benefits realization - Communicating value to stakeholders - Investment cases and business justification |
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NEW QUESTION # 21
What doesn't help to create a culture where people feel safe to fail?
Answer: A
Explanation:
The correct answer is B because allowing leaders to punish failure directly undermines psychological safety, learning, experimentation, and transparency. A DevOps culture depends on people being willing to surface problems, admit uncertainty, report incidents, share mistakes, and test improvements. If failure is punished, teams hide information, avoid risk, reduce experimentation, and focus on self-protection rather than organizational learning.
Making experimentation time explicit supports innovation and controlled learning. Shared accountabilities and goals reduce blame between functions because teams are aligned around common outcomes rather than departmental defensiveness. Using ChatOps to swarm incidents can improve collaboration, visibility, and collective problem-solving during operational events. These practices contribute to an environment where failure is treated as information that can improve the system.
This does not mean DevOps accepts negligence or lack of discipline. It means leaders distinguish between blameworthy behavior and the normal learning that occurs in complex systems. The goal is to create conditions where teams can learn quickly and safely from failure. Punitive leadership blocks that learning cycle. Relevant study guide references: DevOps and Transformational Leadership; Unlearning Behaviors; Maintaining Energy and Momentum; Measuring to Learn.
NEW QUESTION # 22
What is the key metric for DevOps teams over traditional IT teams?
Answer: A
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 # 23
What doesn't a Value Stream Map do?
Answer: C
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 # 24
What does every successful DevOps transformation start with?
Answer: C
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 # 25
What does every successful DevOps transformation start with?
Answer: C
NEW QUESTION # 26
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