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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Measure to Learn | 5% | - Avoiding Measure to Target - Creating a Current Value Stream Map |
| Topic 2: Unlearning Behaviors | 12.5% | - Governance, Risk and Compliance (GRC) and DevOps - Psychological Safety and Neuroscience - Mindset, Mental Models and Cognitive Bias |
| Topic 3: Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Topic 4: Articulating and Socializing Vision | 15% | - Broadcasting Outside of Your Organization - Organizational Change in Large Enterprises - Empowering People |
| Topic 5: DevOps and Transformational Leadership | 15% | - Benefits of DevOps - Current Definitions of DevOps - Transformational Leadership |
| Topic 6: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Topic 7: Becoming a DevOps Organization | 17.5% | - How DevOps Differs - Building Safety In - DevOps Kaizen |
| Topic 8: Target Operating Models and Organizational Design | 15% | - DevOps Target Operating Model Design Principles - Desired Outcomes of DevOps - Conway's Law |
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NEW QUESTION # 20
When you are putting the customer upfront and center, what shouldn't you do?
Answer: A
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 # 21
Batul is in trouble with her husband because she has to work on the weekend as a release is happening and it's his parents' golden wedding anniversary. Whilst Batul may not be able to fix the problem in time to get to the celebratory lunch, what should Batul encourage her organization to do?
Answer: C
Explanation:
The correct answer is D because the real problem is not Batul's individual scheduling conflict; it is the organization's release model. Weekend releases, large batches, war rooms, and extraordinary coordination are symptoms of a high-risk, low-frequency delivery process. DevOps aims to make releases routine, safe, repeatable, and sustainable by creating continuous delivery capability and releasing small increments regularly.
A continuous delivery pipeline reduces manual effort, improves confidence through automated build, test, security, and deployment steps, and enables faster feedback. Smaller releases reduce complexity and risk because each change contains less scope, is easier to understand, easier to validate, and easier to recover from if something goes wrong. This also reduces the human cost of delivery, including weekend work, overtime, burnout, and dependence on heroic individuals.
A war room may help manage a risky release, but it does not solve the systemic issue. Asking someone else to cover only transfers the burden. Moving a large release into working hours may reduce personal disruption but still preserves the risky batch size. Relevant study guide references: Becoming a DevOps Organization; Measuring to Improve; Maintaining Energy and Momentum.
NEW QUESTION # 22
Thierry is a salesperson at an organization that provides trading software to banking clients. His clients are telling him they are unhappy with the rate at which changes are being made to Thierry's software. Thierry can see that the IT department is extremely busy, but seems to be struggling to deliver anything.
What will help the IT department focus on delivering what the clients need?
Answer: B
Explanation:
The correct answer is A because the core issue is not that the IT department lacks activity; it is that effort is not translating into customer-valued outcomes. DevOps leadership shifts focus from local productivity, task completion, and departmental busyness toward end-to-end value delivery. A feature is not truly "done" merely because development is complete, testing has passed, or a release has occurred. It is done when the intended customer value has been realized and validated.
In this scenario, Thierry's banking clients are dissatisfied with the rate of meaningful change. The IT department appears overloaded, but the business problem is customer responsiveness. Defining done as
"customer value outcome realized" aligns IT work with client needs, improves prioritization, and encourages teams to measure outcomes rather than outputs. This helps reveal whether work is flowing to production, whether it is usable, whether it solves the customer problem, and whether feedback is being incorporated.
A "Do Not Fail" culture would likely reduce experimentation and learning. Disseminating information is useful but insufficient. Measuring cost and capacity may support planning, but it does not by itself align work to customer value. Relevant study guide areas include Becoming a DevOps Organization, Measuring to Learn, Measuring to Improve, and Articulating and Socializing Vision.
NEW QUESTION # 23
Which is NOT a characteristic of a DevOps culture?
Answer: C
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 # 24
Which of the following is a characteristic of transformation as opposed to evolution?
Answer: A
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 # 25
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