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| Section | Weight | Objectives |
|---|---|---|
| Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Articulating and Socializing Vision | 15% | - Empowering People - Organizational Change in Large Enterprises - Broadcasting Outside of Your Organization |
| DevOps and Transformational Leadership | 15% | - Benefits of DevOps - Transformational Leadership - Current Definitions of DevOps |
| Target Operating Models and Organizational Design | 15% | - Conway's Law - Desired Outcomes of DevOps - DevOps Target Operating Model Design Principles |
| Becoming a DevOps Organization | 17.5% | - How DevOps Differs - Building Safety In - DevOps Kaizen |
| Unlearning Behaviors | 12.5% | - Psychological Safety and Neuroscience - Governance, Risk and Compliance (GRC) and DevOps - Mindset, Mental Models and Cognitive Bias |
| Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
| Measure to Improve | 5% | - Creating a Future Value Stream Map - The Improvement Kata and Experiments |
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NEW QUESTION # 29
Which of the following describes the model of a DevOps organization?
Answer: C
Explanation:
The correct answer is B because DevOps organizations are typically designed around small, dedicated, cross- functional teams aligned to products, services, or value streams. These teams may be described as squads, product teams, or service-aligned teams depending on the organization's operating model. The key principle is that the team contains, or has direct access to, the skills needed to deliver and operate value with minimal handoffs.
Traditional silo-based models separate development, testing, security, release, infrastructure, and operations into different functional departments. This often creates queues, delays, conflicting priorities, weak ownership, and poor feedback. Highly matrixed organizations can also create divided accountability and slow decision-making. DevOps aims to reduce these structural frictions by improving ownership, collaboration, flow, and accountability for outcomes.
The organization construct does matter because structure strongly influences behavior. A DevOps operating model should make it easier for teams to build, test, release, operate, learn, and improve together. Small dedicated teams support faster feedback, clearer ownership, and better alignment to customer value. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 30
In an organization where blame is part of the culture, what happens?
Answer: A
Explanation:
The correct answer is B. In a blame culture, open minds close. When people expect punishment, criticism, or reputational damage after mistakes, they become defensive. They hide problems, reduce transparency, avoid experimentation, and protect themselves rather than improving the system. This directly conflicts with DevOps principles of learning, psychological safety, feedback, and continuous improvement.
Blame prevents organizations from understanding the real causes of failure. Incidents in complex technology environments are rarely the result of a single person making a simple mistake. They usually emerge from system conditions such as unclear ownership, excessive work in progress, weak controls, poor feedback, brittle architecture, manual processes, or conflicting incentives. A blame culture focuses attention on individuals instead of improving those conditions.
The other options are incorrect because blame reduces learning, inquiry, and innovation. People do not ask better questions when they feel unsafe; they ask fewer questions. DevOps leaders must replace blame with blameless learning, constructive inquiry, and shared accountability. Relevant study guide references:
Unlearning Behaviors; DevOps and Transformational Leadership; Measuring to Learn; Maintaining Energy and Momentum.
NEW QUESTION # 31
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 # 32
Other than mapping the flow of work, what does a value stream mapping exercise jump start?
Answer: B
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 # 33
How is traditional IT organized?
Answer: D
Explanation:
The correct answer is C because traditional IT is typically organized by function. Common examples include separate departments for development, testing, infrastructure, security, service desk, operations, architecture, change management, and release management. Each function has its own management structure, priorities, metrics, queues, and operating rhythm. This design can create specialization, but it often introduces delays, fragmented ownership, and handoffs across the delivery lifecycle.
DevOps challenges this model by focusing on end-to-end value streams and cross-functional ownership.
Instead of optimizing individual departments, DevOps seeks to optimize the whole system of work. Cross- functional cells or squads are therefore more consistent with a DevOps operating model than a traditional IT structure. Similarly, being optimized for flow and having fewer handoffs are DevOps characteristics because they support faster feedback, smaller batches, clearer accountability, and improved reliability.
Functional organization is a central reason traditional IT often struggles with slow delivery and operational instability. Work must pass between teams, creating queues, misalignment, and limited shared accountability for outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 34
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