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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measuring to Learn | 15% | - Tools and techniques for measurement - Evaluating DevOps performance - Purpose of measurement |
| Topic 2: Becoming a DevOps Organisation | 15% | - DevOps principles and adoption - Building safety and continuous improvement - Differences between DevOps and traditional IT |
| Topic 3: Articulating and Realising Value | 10% | - Communicating value to stakeholders - Investment cases and business justification - Value outcomes and benefits realization |
| Topic 4: Unlearning Behaviors | 15% | - Cognitive bias and psychological safety - Governance, risk and compliance in DevOps - Mindset and mental models |
| Topic 5: Measuring to Improve | 15% | - Value stream mapping - Meaningful metrics and indicators - Avoiding measurement pitfalls |
| Topic 6: Leading Cultural Change | 5% | - Driving behavioural and cultural transformation - Empowerment and participation |
| Topic 7: DevOps and Transformational Leadership | 15% | - Leadership frameworks for change - Definitions and benefits of DevOps - Transformational leadership principles |
| Topic 8: Target Operating Models and Organizational Design | 10% | - Designing DevOps-aligned operating models - Conway's Law and organizational structure - Team structures and collaboration |
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NEW QUESTION # 25
When you are putting the customer upfront and center, what shouldn't you do?
Answer: B
Explanation:
The correct answer is A because customer-centric DevOps decision-making should be based on evidence, feedback, and validated learning rather than hierarchy. The "highest paid person's opinion" problem, often called HiPPO-driven decision-making, occurs when seniority overrides customer evidence, operational data, team insight, or experiment results. This is especially harmful in DevOps evolution because it reinforces command-and-control behavior and prevents organizations from learning from the actual users of the system.
Putting the customer upfront and center means using customer feedback, telemetry, usage data, support patterns, market signals, and outcome measures to guide prioritization and improvement. Pulling improvement ideas from customers is appropriate because it connects delivery to real needs. Using live- streaming reaction and prediction services can help organizations understand behavior and sentiment quickly.
Being data-driven supports faster feedback and better product decisions.
A DevOps leader should create conditions where decisions are informed by the people closest to the customer, the work, and the evidence. Relevant study guide references: Measuring to Learn; Becoming a DevOps Organization; DevOps and Transformational Leadership; Articulating and Socializing Vision.
NEW QUESTION # 26
Imran is a service transition manager in the IT Operations team in a publishing house. Imran feels that he and his colleagues could be working more closely with the developers of their publishing platforms, but he cannot influence the organization model so, in his view, IT Operations will always be a centralized team.
In order to achieve his goal of working more closely with the developers, what should Imran and his colleagues NOT do?
Answer: C
Explanation:
The correct answer is D because asking developers to provide requirements on a monthly basis reinforces a traditional handoff model rather than improving collaboration. Imran's challenge is that IT Operations remains centralized, but even within that constraint, Ops can adopt DevOps-aligned working practices that bring teams closer together. Monthly requirements gathering creates batching, delayed feedback, queueing, and separation between development and operations. It treats Ops as a downstream recipient of work rather than an active partner in delivery.
The other options are constructive patterns for improving collaboration without requiring an immediate reorganization. Shared services can help development teams consume reliable operational capabilities in a self-service way. Assigning an Ops liaison to feature teams creates a stronger communication bridge and helps operational considerations enter earlier in the lifecycle. Making Ops work visible on shared Kanban boards improves transparency, coordination, and flow.
DevOps does not require every organization to adopt the same structure immediately, but it does require reducing handoffs, improving visibility, and increasing shared ownership. Relevant study guide references:
Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 27
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 # 28
Other than mapping the flow of work, what does a value stream mapping exercise jump start?
Answer: C
Explanation:
The correct answer is A because value stream mapping is not only an analytical technique; it is also a powerful cultural intervention. By bringing stakeholders together to visualize the end-to-end flow of work, it creates a common understanding of how the system really operates. This matters because different teams often see only their own part of the process and may blame other groups for delays, defects, or friction.
A shared value stream map helps replace opinion, defensiveness, and silo thinking with evidence-based discussion. It allows development, operations, security, testing, business, product, release, and support stakeholders to see the same constraints, queues, dependencies, and waste. That shared visibility can jump start cultural change because teams begin to understand that the problem is usually in the system of work, not in individual effort.
Automated metrics collection may support later improvement, but it is not the cultural effect being tested.
Vendor selection is unrelated. Moving to a product-centric model may be an eventual outcome, but the immediate jump start is shared understanding and cultural alignment. Relevant study guide references:
Measuring to Learn; Measuring to Improve; Becoming a DevOps Organization; DevOps and Transformational Leadership.
NEW QUESTION # 29
Which of the following is a characteristic of transformation as opposed to evolution?
Answer: B
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 # 30
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