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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measuring to Improve | 15% | - Value stream mapping - Avoiding measurement pitfalls - Meaningful metrics and indicators |
| Topic 2: DevOps and Transformational Leadership | 15% | - Leadership frameworks for change - Definitions and benefits of DevOps - Transformational leadership principles |
| Topic 3: Target Operating Models and Organizational Design | 10% | - Conway's Law and organizational structure - Designing DevOps-aligned operating models - Team structures and collaboration |
| Topic 4: Leading Cultural Change | 5% | - Empowerment and participation - Driving behavioural and cultural transformation |
| Topic 5: Measuring to Learn | 15% | - Tools and techniques for measurement - Purpose of measurement - Evaluating DevOps performance |
| Topic 6: Unlearning Behaviors | 15% | - Governance, risk and compliance in DevOps - Cognitive bias and psychological safety - Mindset and mental models |
| Topic 7: Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Differences between DevOps and traditional IT - Building safety and continuous improvement |
| Topic 8: 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 # 34
In Kolb's Learning Styles, when a person is thinking and watching, what are they doing?
Answer: D
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 # 35
Which of the following is a characteristic of transformation as opposed to evolution?
Answer: D
Explanation:
The correct answer is A because transformation, when contrasted with evolution, is often characterized as a deliberate, directed, and orchestrated change effort, commonly driven from the top by a senior leader or small leadership group. It is typically planned around a defined future state and mobilized through vision, sponsorship, communication, and coordinated intervention. In DevOps leadership, this distinction matters because organizations frequently describe major change programs as "transformations" when they are actively steering people, structures, practices, and technology toward a new operating model.
The other options align more closely with evolutionary change. Empowered people participating, distributed authority, and systemic thinking are characteristics of an adaptive, emergent, and organization-wide evolution.
Evolution depends on many local decisions, learning loops, experiments, and adjustments across the system rather than centralized orchestration by one individual.
A DevOps Leader must understand both modes. Transformation can create urgency and direction, but evolution helps sustain learning and adaptation. Relevant study guide references: DevOps and Transformational Leadership; Maintaining Energy and Momentum; Articulating and Socializing Vision; Unlearning Behaviors.
NEW QUESTION # 36
What is a mirror metric for % Rework in the context of Value Stream Mapping?
Answer: D
Explanation:
The correct answer is B because "% Complete and Accurate" is effectively the mirror metric of "% Rework." In value stream mapping, teams need to understand not only how long work takes, but also the quality of the work as it moves between steps. If work arrives incomplete, incorrect, unclear, or unusable, downstream teams must spend time clarifying, correcting, or repeating work. That creates rework, delays, queues, frustration, and reduced flow efficiency.
"% Complete and Accurate" measures the proportion of work that can proceed without needing correction or additional information. A higher complete-and-accurate percentage indicates better upstream quality and smoother flow. Conversely, a high rework percentage indicates that defects, missing information, poor requirements, weak handoffs, or inadequate validation are causing work to loop backward through the system.
The other options are not the correct mirror metric. Unplanned work and planned work describe work-type allocation, not quality of transfer. Repeated work is similar in meaning to rework, but it is not the recognized inverse measurement. Relevant study guide references: Measuring to Improve; Value Stream Mapping; Measuring to Learn; Becoming a DevOps Organization.
NEW QUESTION # 37
You are looking at the end-to-end value stream for the way a retail organization delivers a small enhancement to their ecommerce website. You find that the development teams involved are working in two week sprints but that the release team has a quarterly schedule.
How BEST can you describe to the teams involved what it is they need to consider?
Answer: D
Explanation:
The correct answer is B because the scenario exposes a cadence mismatch across the value stream.
Development teams are producing increments every two weeks, but the release function operates quarterly.
This means the overall system cannot deliver value at the speed of the development sprint. Work accumulates, feedback is delayed, batch sizes grow, release risk increases, and the organization loses the benefit of fast iteration.
DevOps focuses on end-to-end flow, not isolated team efficiency. A team can appear agile locally while the total value stream remains constrained by downstream scheduling, governance, testing, release, or operational practices. Working to a compatible rhythm or cadence helps align planning, development, validation, deployment, feedback, and learning. It also supports smaller batches, faster customer feedback, and reduced release risk.
Option A is too narrow because reporting does not solve the structural flow problem. Option C may be useful in some contexts, but co-location is not the primary issue presented. Option D is also too absolute; automation can help, but it will not immediately resolve a misaligned operating cadence. Relevant study guide references:
Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
NEW QUESTION # 38
Which is NOT a characteristic of a DevOps culture?
Answer: A
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 # 39
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