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| Section | Objectives |
|---|---|
| Topic 1: Becoming a DevOps Organization | - Organizational transformation
|
| Topic 2: Unlearning Behaviors | - Psychological safety and cognitive bias
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| Topic 3: Maintaining Energy and Momentum | - Sustaining DevOps transformation
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| Topic 4: Measuring to Improve | - Continuous improvement metrics
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| Topic 5: Target Operating Models and Organizational Design | - Designing DevOps organizations
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| Topic 6: DevOps and Transformational Leadership | - Leadership principles for DevOps transformation
|
| Topic 7: Measuring to Learn | - Metrics and feedback loops
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| Topic 8: Articulating and Socializing Vision | - Communicating transformation strategy
|
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NEW QUESTION # 14
According to Conway's Law, organizations tend to design systems that are copies of
Answer: C
Explanation:
The correct answer is C. Conway's Law states that organizations design systems that mirror their communication structures. In DevOps leadership, this principle is critical because system architecture is strongly influenced by organizational design. If teams are structured in silos, with separate development, testing, operations, security, and release functions, the technology often reflects those boundaries through handoffs, dependencies, integration delays, and fragmented ownership.
A DevOps organization attempts to reduce this friction by designing teams around products, services, or value streams. When cross-functional teams own delivery and operation end to end, the resulting systems are more likely to support fast flow, clearer accountability, and faster feedback. Conway's Law therefore explains why simply adopting tools or automation is insufficient if the underlying communication and team structures remain unchanged.
Previously designed systems, team diversity, and industry best practices may influence design choices, but they are not the central point of Conway's Law. The main leadership lesson is that organizational structure shapes technical outcomes. Relevant study guide references: Target Operating Models and Organizational Designs; Becoming a DevOps Organization; Measuring to Improve.
NEW QUESTION # 15
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 # 16
Which of the following describes a characteristic of a traditional IT organization rather than a DevOps organization?
Answer: C
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
Which of the following is a characteristic of a well-functioning team?
Answer: D
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 # 18
What is the key metric for DevOps teams over traditional IT teams?
Answer: B
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 # 19
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