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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Becoming a DevOps Organization | 17.5% | - DevOps Kaizen - How DevOps Differs - Building Safety In |
| Topic 2: Unlearning Behaviors | 12.5% | - Psychological Safety and Neuroscience - Mindset, Mental Models and Cognitive Bias - Governance, Risk and Compliance (GRC) and DevOps |
| Topic 3: Measure to Learn | 5% | - Avoiding Measure to Target - Creating a Current Value Stream Map |
| Topic 4: Measure to Improve | 5% | - Creating a Future Value Stream Map - The Improvement Kata and Experiments |
| Topic 5: Articulating and Socializing Vision | 15% | - Empowering People - Broadcasting Outside of Your Organization - Organizational Change in Large Enterprises |
| Topic 6: Target Operating Models and Organizational Design | 15% | - Desired Outcomes of DevOps - DevOps Target Operating Model Design Principles - Conway's Law |
| Topic 7: Maintaining Energy and Momentum | 15% | - A High-Trust Culture - Culture and Climate - The DevOps Business Case |
| Topic 8: DevOps and Transformational Leadership | 15% | - Benefits of DevOps - Transformational Leadership - Current Definitions of DevOps |
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NEW QUESTION # 16
Which of the following describes a characteristic of a traditional IT organization rather than a DevOps organization?
Answer: A
Explanation:
The correct answer is C because traditional IT organizations commonly measure performance through cost control, resource utilization, capacity management, budget adherence, and departmental efficiency. These measures are not inherently useless, but they often encourage local optimization rather than end-to-end value delivery. A team may appear efficient because it is fully utilized or operating within budget, while the overall system still suffers from long lead times, excessive queues, poor feedback, and unstable releases.
A DevOps organization shifts emphasis toward flow, value, outcomes, learning, and resilience. Measuring on flow means examining how work moves from concept to customer value, including constraints, delays, handoffs, change failure, and recovery. Defining done as "value outcome realized" is also DevOps-aligned because it connects work completion to customer or business impact, not just task completion. Decentralized and continuous scheduling further reflects DevOps delivery patterns where teams release smaller changes more frequently.
Therefore, cost and capacity measurement is the characteristic most associated with traditional IT. Relevant study guide references: Target Operating Models and Organizational Designs; Measuring to Improve; Becoming a DevOps Organization.
NEW QUESTION # 17
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: A
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 # 18
What is a characteristic of a Teal organization?
Answer: D
Explanation:
The correct answer is D because Teal organizations are characterized by self-management, distributed authority, evolutionary purpose, and high levels of peer accountability. In a Teal model, people are not primarily controlled through rigid hierarchy, layers of middle management, or extensive command-and- control mechanisms. Instead, teams organize around shared purpose and are accountable to one another for achieving collective outcomes.
This idea is relevant to DevOps because high-performing DevOps organizations often require more autonomy, faster local decision-making, and stronger team ownership than traditional functional structures allow. Teams closest to the work need enough authority to improve flow, respond to feedback, resolve constraints, and deliver value safely. Peer accountability supports this because responsibility is embedded in the team rather than imposed only through managerial escalation.
Options A, B, and C describe more traditional or mechanistic organizational models. Viewing the organization as a machine, relying on multiple management layers, and using prevalent control mechanisms are inconsistent with Teal principles. DevOps leaders may not convert an entire enterprise to Teal, but the concepts help explain why autonomy, trust, and self-organization matter. Relevant study guide references:
Target Operating Models and Organizational Designs; DevOps and Transformational Leadership; Maintaining Energy and Momentum.
NEW QUESTION # 19
You are looking at the end-to-end value stream for the way a retail organization delivers a small enhancement to their ecommerce website. You find that the development teams involved are working in two week sprints but that the release team has a quarterly schedule.
How BEST can you describe to the teams involved what it is they need to consider?
Answer: C
Explanation:
The correct answer is B because the scenario exposes a cadence mismatch across the value stream.
Development teams are producing increments every two weeks, but the release function operates quarterly.
This means the overall system cannot deliver value at the speed of the development sprint. Work accumulates, feedback is delayed, batch sizes grow, release risk increases, and the organization loses the benefit of fast iteration.
DevOps focuses on end-to-end flow, not isolated team efficiency. A team can appear agile locally while the total value stream remains constrained by downstream scheduling, governance, testing, release, or operational practices. Working to a compatible rhythm or cadence helps align planning, development, validation, deployment, feedback, and learning. It also supports smaller batches, faster customer feedback, and reduced release risk.
Option A is too narrow because reporting does not solve the structural flow problem. Option C may be useful in some contexts, but co-location is not the primary issue presented. Option D is also too absolute; automation can help, but it will not immediately resolve a misaligned operating cadence. Relevant study guide references:
Measuring to Improve, Measuring to Learn, Becoming a DevOps Organization, and Target Operating Models and Organizational Designs.
NEW QUESTION # 20
What doesn't a Value Stream Map do?
Answer: A
Explanation:
The correct answer is D because a Value Stream Map primarily makes the current system of work visible; it does not automatically determine or implement the corrective actions required to remove waste. A value stream map helps teams see how work flows from demand to value realization, including handoffs, delays, queues, wait time, process time, rework, dependencies, and bottlenecks. This creates a shared factual basis for improvement, but the map itself is a diagnostic and collaboration tool, not a complete solution design.
Options A, B, and C describe core benefits of value stream mapping. It provides a time diagnostic by exposing elapsed time versus active work time. It helps visual collaboration because stakeholders can collectively inspect the end-to-end system rather than debating isolated departmental views. It identifies waste by surfacing non-value-adding activities, excessive approvals, rework, waiting, batching, and unnecessary handoffs.
Once waste is visible, teams can then design experiments, improvement actions, future-state maps, automation opportunities, policy changes, or organizational adjustments. Relevant study guide references:
Measuring to Improve; Measuring to Learn; Becoming a DevOps Organization; Target Operating Models and Organizational Designs.
NEW QUESTION # 21
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