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| Section | Objectives |
|---|---|
| Becoming a DevOps Organization | - Organizational transformation
|
| DevOps and Transformational Leadership | - Leadership principles for DevOps transformation
|
| Maintaining Energy and Momentum | - Sustaining DevOps transformation
|
| Measuring to Improve | - Continuous improvement metrics
|
| Articulating and Socializing Vision | - Communicating transformation strategy
|
| Unlearning Behaviors | - Psychological safety and cognitive bias
|
| Measuring to Learn | - Metrics and feedback loops
|
| Target Operating Models and Organizational Design | - Designing DevOps organizations
|
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NEW QUESTION # 24
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 # 25
What is a mirror metric for % Rework in the context of Value Stream Mapping?
Answer: A
Explanation:
The correct answer is B because "% Complete and Accurate" is effectively the mirror metric of "% Rework." In value stream mapping, teams need to understand not only how long work takes, but also the quality of the work as it moves between steps. If work arrives incomplete, incorrect, unclear, or unusable, downstream teams must spend time clarifying, correcting, or repeating work. That creates rework, delays, queues, frustration, and reduced flow efficiency.
"% Complete and Accurate" measures the proportion of work that can proceed without needing correction or additional information. A higher complete-and-accurate percentage indicates better upstream quality and smoother flow. Conversely, a high rework percentage indicates that defects, missing information, poor requirements, weak handoffs, or inadequate validation are causing work to loop backward through the system.
The other options are not the correct mirror metric. Unplanned work and planned work describe work-type allocation, not quality of transfer. Repeated work is similar in meaning to rework, but it is not the recognized inverse measurement. Relevant study guide references: Measuring to Improve; Value Stream Mapping; Measuring to Learn; Becoming a DevOps Organization.
NEW QUESTION # 26
To get the most accurate picture of an organization's actual state in a DevOps evolution, why is it essential to listen to everybody that's involved, particularly those who are doing the work on a day to day basis?
Answer: C
Explanation:
The correct answer is A because a reliable DevOps assessment must expose the organization's real operating conditions, not only its intended structure, formal reports, or leadership interpretation. In DevOps evolution, leaders must understand actual flow of work, friction points, queue times, handoffs, rework, incident patterns, cultural constraints, and sources of delay. These are often most visible to the people performing the work every day: engineers, testers, service desk staff, operations teams, security practitioners, product owners, and release personnel.
Management perspectives are valuable, but they can be filtered through dashboards, status reports, escalation paths, and optimistic assumptions. Leaders may see strategic intent, while teams experience practical reality.
This is why DevOps emphasizes learning from the system of work, going to where the work happens, creating psychological safety, and listening across organizational levels. Without frontline input, transformation activity may optimize the wrong constraint or reinforce existing dysfunction.
Options B, C, and D describe valid DevOps ideas, but they do not directly explain why broad listening is essential when assessing the current state. The relevant study guide areas are Measuring to Learn, DevOps and Transformational Leadership, Becoming a DevOps Organization, and Unlearning Behaviors.
NEW QUESTION # 27
Which of the following is a characteristic of transformation as opposed to evolution?
Answer: D
Explanation:
The correct answer is A because transformation, when contrasted with evolution, is often characterized as a deliberate, directed, and orchestrated change effort, commonly driven from the top by a senior leader or small leadership group. It is typically planned around a defined future state and mobilized through vision, sponsorship, communication, and coordinated intervention. In DevOps leadership, this distinction matters because organizations frequently describe major change programs as "transformations" when they are actively steering people, structures, practices, and technology toward a new operating model.
The other options align more closely with evolutionary change. Empowered people participating, distributed authority, and systemic thinking are characteristics of an adaptive, emergent, and organization-wide evolution.
Evolution depends on many local decisions, learning loops, experiments, and adjustments across the system rather than centralized orchestration by one individual.
A DevOps Leader must understand both modes. Transformation can create urgency and direction, but evolution helps sustain learning and adaptation. Relevant study guide references: DevOps and Transformational Leadership; Maintaining Energy and Momentum; Articulating and Socializing Vision; Unlearning Behaviors.
NEW QUESTION # 28
When you are putting the customer upfront and center, what shouldn't you do?
Answer: C
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 # 29
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