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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: Unlearning Behaviors | 12.5% | - Governance, Risk and Compliance (GRC) and DevOps - Mindset, Mental Models and Cognitive Bias - Psychological Safety and Neuroscience |
| Topic 3: Target Operating Models and Organizational Design | 15% | - Desired Outcomes of DevOps - DevOps Target Operating Model Design Principles - Conway's Law |
| Topic 4: DevOps and Transformational Leadership | 15% | - Transformational Leadership - Benefits of DevOps - Current Definitions of DevOps |
| Topic 5: Articulating and Socializing Vision | 15% | - Broadcasting Outside of Your Organization - Organizational Change in Large Enterprises - Empowering People |
| Topic 6: Measure to Improve | 5% | - The Improvement Kata and Experiments - Creating a Future Value Stream Map |
| Topic 7: Becoming a DevOps Organization | 17.5% | - Building Safety In - DevOps Kaizen - How DevOps Differs |
| Topic 8: Measure to Learn | 5% | - Avoiding Measure to Target - Creating a Current Value Stream Map |
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NEW QUESTION # 22
In an organization where blame is part of the culture, what happens?
Answer: C
Explanation:
The correct answer is B. In a blame culture, open minds close. When people expect punishment, criticism, or reputational damage after mistakes, they become defensive. They hide problems, reduce transparency, avoid experimentation, and protect themselves rather than improving the system. This directly conflicts with DevOps principles of learning, psychological safety, feedback, and continuous improvement.
Blame prevents organizations from understanding the real causes of failure. Incidents in complex technology environments are rarely the result of a single person making a simple mistake. They usually emerge from system conditions such as unclear ownership, excessive work in progress, weak controls, poor feedback, brittle architecture, manual processes, or conflicting incentives. A blame culture focuses attention on individuals instead of improving those conditions.
The other options are incorrect because blame reduces learning, inquiry, and innovation. People do not ask better questions when they feel unsafe; they ask fewer questions. DevOps leaders must replace blame with blameless learning, constructive inquiry, and shared accountability. Relevant study guide references:
Unlearning Behaviors; DevOps and Transformational Leadership; Measuring to Learn; Maintaining Energy and Momentum.
NEW QUESTION # 23
Other than mapping the flow of work, what does a value stream mapping exercise jump start?
Answer: A
Explanation:
The correct answer is A because value stream mapping is not only an analytical technique; it is also a powerful cultural intervention. By bringing stakeholders together to visualize the end-to-end flow of work, it creates a common understanding of how the system really operates. This matters because different teams often see only their own part of the process and may blame other groups for delays, defects, or friction.
A shared value stream map helps replace opinion, defensiveness, and silo thinking with evidence-based discussion. It allows development, operations, security, testing, business, product, release, and support stakeholders to see the same constraints, queues, dependencies, and waste. That shared visibility can jump start cultural change because teams begin to understand that the problem is usually in the system of work, not in individual effort.
Automated metrics collection may support later improvement, but it is not the cultural effect being tested.
Vendor selection is unrelated. Moving to a product-centric model may be an eventual outcome, but the immediate jump start is shared understanding and cultural alignment. Relevant study guide references:
Measuring to Learn; Measuring to Improve; Becoming a DevOps Organization; DevOps and Transformational Leadership.
NEW QUESTION # 24
What characterizes the Fourth Industrial Revolution?
Answer: B
Explanation:
The correct answer is B. The Fourth Industrial Revolution is characterized by the convergence of cyber- physical systems, artificial intelligence, the Internet of Things, advanced automation, data-driven decision- making, and highly connected digital ecosystems. In the DevOps Leader context, this matters because organizations are operating in an environment where speed, adaptability, resilience, security, and continuous learning are essential.
The other options correspond more closely to earlier industrial revolutions. The steam engine is associated with the First Industrial Revolution. Mass production is associated with the Second Industrial Revolution.
Digital and automation are more closely associated with the Third Industrial Revolution, where computing and electronics transformed production and business processes.
The Fourth Industrial Revolution increases pressure on organizations to respond rapidly to customer needs, market changes, cyber threats, and technological disruption. DevOps provides a leadership and operating model for this environment by improving flow, feedback, experimentation, automation, and collaboration across business and technology teams. Relevant study guide references: DevOps and Transformational Leadership; Becoming a DevOps Organization; Articulating and Socializing Vision.
NEW QUESTION # 25
Which of the following is NOT a type of cognitive bias?
Answer: C
Explanation:
The correct answer is A because "Flamingo fallacy" is not a recognized cognitive bias in the context of DevOps leadership, organizational learning, or decision-making psychology. Cognitive biases are systematic patterns of deviation in judgment that can distort how individuals and groups interpret information, assess risk, make decisions, and respond to evidence. In DevOps transformation, these biases are especially important because they can reinforce legacy behaviors, prevent learning, and cause leaders to misread the real state of the organization.
The clustering illusion is a recognized bias where people perceive patterns in random or limited data. This can lead teams to infer false trends from incidents, metrics, or customer feedback. The bandwagon effect is also a recognized bias, where people adopt beliefs or behaviors because others do, rather than because evidence supports them. Risk compensation describes behavioral adjustment in response to perceived safety or risk controls and is relevant when assessing how people respond to safeguards, automation, or controls.
DevOps leaders must unlearn biased thinking by using evidence, feedback, experimentation, and diverse perspectives. Relevant study guide references: Unlearning Behaviors, Measuring to Learn, DevOps and Transformational Leadership, and Measuring to Improve.
NEW QUESTION # 26
A manufacturing organization is struggling to deliver the new features their clients are asking for in their web- based applications. When they do release a new version it usually causes incidents which result in system downtime and overtime worked by the IT operations department. Additionally, the CEO has told the IT department he is extremely worried about cyber threats and wants them to focus on this as a matter of urgency
- they are not sure how to do this as they are so busy firefighting.
How will DevOps help them?
Answer: D
Explanation:
DevOps helps this organization primarily by improving its ability to deliver technology change quickly, safely, and sustainably. The scenario describes several classic symptoms of a non-DevOps operating model:
slow feature delivery, unstable releases, production incidents, excessive operational toil, and inability to focus on strategic risk such as cybersecurity because teams are trapped in reactive firefighting. Option B is the most complete answer because DevOps is not merely automation, experimentation, or shifting support responsibility to developers. Those may be practices within a broader transformation, but the leadership objective is improved flow, reliability, feedback, resilience, and value delivery.
By adopting DevOps principles, the organization can reduce deployment risk through smaller batch sizes, better collaboration between development, operations, security, and business stakeholders, automated testing, continuous integration, continuous delivery, monitoring, and learning from incidents. Security concerns can also be addressed earlier through DevSecOps practices, integrating security controls into the delivery lifecycle rather than treating them as separate emergency work. This supports both business agility and operational stability.
Specific Study Guide alignment: Becoming a DevOps Organization; Measuring to Improve; Measuring to Learn; DevOps and Transformational Leadership.
NEW QUESTION # 27
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