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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Articulating and Socializing Vision | 15% | - Broadcasting Outside of Your Organization - Empowering People - Organizational Change in Large Enterprises |
| Topic 2: Measure to Learn | 5% | - Avoiding Measure to Target - Creating a Current Value Stream Map |
| Topic 3: DevOps and Transformational Leadership | 15% | - Current Definitions of DevOps - Benefits of DevOps - Transformational Leadership |
| Topic 4: Becoming a DevOps Organization | 17.5% | - Building Safety In - How DevOps Differs - DevOps Kaizen |
| Topic 5: Unlearning Behaviors | 12.5% | - Mindset, Mental Models and Cognitive Bias - Governance, Risk and Compliance (GRC) and DevOps - Psychological Safety and Neuroscience |
| Topic 6: Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Topic 7: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - The DevOps Business Case - Culture and Climate |
| Topic 8: Target Operating Models and Organizational Design | 15% | - Desired Outcomes of DevOps - DevOps Target Operating Model Design Principles - Conway's Law |
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NEW QUESTION # 34
How is traditional IT organized?
Answer: C
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 # 35
What does every successful DevOps transformation start with?
Answer: D
NEW QUESTION # 36
Where should you start with your DevOps evolution?
Answer: A
Explanation:
The correct answer is D because DevOps evolution should begin with a value stream. DevOps is concerned with the end-to-end flow of work from idea to customer value, not merely with reorganizing departments, selecting a single application, or avoiding legacy systems. A value stream view allows leaders and teams to understand how work actually moves through the organization, where delays occur, where handoffs create friction, and where feedback is lost.
Starting with a reorganization is risky because structural change without understanding the system of work may simply recreate the same constraints in a new chart. Starting with an application can be too narrow unless it is examined within the broader value stream that delivers and operates it. Avoiding legacy systems is also not a reliable principle; legacy services may be central to business value and therefore important to include.
A value stream approach helps identify constraints, reduce waste, improve flow, and connect technical improvements to business outcomes. It also gives leaders a practical basis for measurement and improvement.
Relevant study guide references: Becoming a DevOps Organization; Measuring to Improve; Measuring to Learn; Target Operating Models and Organizational Designs.
NEW QUESTION # 37
Which of the following is a desired outcome for DevOps?
Answer: A
Explanation:
The correct answer is A because end-to-end lifecycle accountability is a core desired outcome of DevOps.
DevOps seeks to move away from fragmented ownership, where one group builds, another tests, another releases, and another operates. Instead, teams should share responsibility for the full lifecycle of a product or service, from idea and design through development, deployment, operation, feedback, and continual improvement.
This accountability improves flow because teams no longer optimize only their local function. It also improves quality and reliability because the people creating change are connected to operational outcomes and customer feedback. When teams own the lifecycle, they are more likely to build operable, secure, observable, and supportable services. This also reduces blame between departments and encourages learning from incidents and production behavior.
The other options describe traditional constraints that DevOps tries to reduce. Dependencies between teams slow delivery and create coordination burden. Significant upfront planning can delay learning and increase batch size. Handoffs between teams introduce queues, information loss, and weak accountability. Relevant study guide references: Becoming a DevOps Organization; Target Operating Models and Organizational Designs; Measuring to Improve; Measuring to Learn.
NEW QUESTION # 38
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 # 39
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