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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining Energy and Momentum | 15% | - Culture and Climate - A High-Trust Culture - The DevOps Business Case |
| Topic 2: Articulating and Socializing Vision | 15% | - Organizational Change in Large Enterprises - Broadcasting Outside of Your Organization - Empowering People |
| Topic 3: Becoming a DevOps Organization | 17.5% | - How DevOps Differs - DevOps Kaizen - Building Safety In |
| Topic 4: Measure to Learn | 5% | - Creating a Current Value Stream Map - Avoiding Measure to Target |
| Topic 5: DevOps and Transformational Leadership | 15% | - Benefits of DevOps - Transformational Leadership - Current Definitions of DevOps |
| Topic 6: Unlearning Behaviors | 12.5% | - Psychological Safety and Neuroscience - Mindset, Mental Models and Cognitive Bias - Governance, Risk and Compliance (GRC) and DevOps |
| Topic 7: Measure to Improve | 5% | - Creating a Future Value Stream Map - The Improvement Kata and Experiments |
| Topic 8: Target Operating Models and Organizational Design | 15% | - Conway's Law - Desired Outcomes of DevOps - DevOps Target Operating Model Design Principles |
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NEW QUESTION # 34
Which of the following is a characteristic of a well-functioning team?
Answer: C
Explanation:
The correct answer is B because a well-functioning team has enough clarity, focus, and alignment that it is not constantly disrupted by changing priorities. In DevOps, frequent uncontrolled reprioritization damages flow, creates context switching, increases work in progress, delays completion, and weakens accountability. A team that reprioritizes infrequently is more likely to have stable goals, clear decision rules, and a shared understanding of what matters most.
The other options describe poor team functioning. A team unable to make decisions lacks autonomy or clarity.
An unaccountable team does not own outcomes or commitments. A team making slow progress toward goals may be blocked by dependencies, unclear priorities, excessive work in progress, or weak feedback loops.
This does not mean priorities never change. DevOps teams must remain responsive to customer feedback, incidents, risk, and business needs. However, effective teams manage priority changes deliberately rather than reactively. They protect focus while still learning and adapting. Relevant study guide references: Maintaining Energy and Momentum; DevOps and Transformational Leadership; Measuring to Improve; Target Operating Models and Organizational Designs.
NEW QUESTION # 35
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: B
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 # 36
Where should you start with your DevOps evolution?
Answer: C
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
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 # 38
What is the key metric for DevOps teams over traditional IT teams?
Answer: C
Explanation:
The key metric for DevOps teams is flow. Traditional IT management often emphasizes cost control, resource utilization, capacity, and individual productivity. While those measures can be useful, they frequently optimize local activity rather than end-to-end value delivery. DevOps instead focuses on how work flows from idea to customer outcome: how quickly, safely, and predictably value moves through the system.
Flow-oriented measurement helps leaders identify constraints, queues, handoffs, rework, excessive work in progress, long lead times, failed changes, and feedback delays. This is critical because a team may appear fully utilized and productive while customers still experience slow delivery and unstable services. DevOps teams therefore measure outcomes and system performance rather than only internal effort. Common flow- related measures include lead time, deployment frequency, change failure rate, mean time to restore service, throughput, work in progress, and wait time.
Cost and capacity are not irrelevant, but when they become the dominant measures, they can encourage silo optimization and high utilization at the expense of speed and resilience. Productivity is also difficult to interpret unless connected to value. Relevant study guide references: Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
NEW QUESTION # 39
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