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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enabling Assured Conformance | 7% | - Information security management, risk management, compliance |
| Topic 2: Enabling Resilient Operations | 10% | - Capacity and performance management, monitoring and event management - Problem management, service continuity, infrastructure and platform management |
| Topic 3: High-Velocity IT Concepts and Digital Enterprise | 25% | - Alignment with four dimensions of service management, ITIL Service Value System, service value chain, and digital product lifecycle - Core terms: High-velocity IT, digital organization, digital transformation, digital technology - Objectives of digital products: valuable investments, fast development, resilient operations, co-created value, assured conformance |
| Topic 4: Enabling Co-Created Value | 8% | - Relationship management, service design, service desk practices |
| Topic 5: Enabling Fast Development | 15% | - Automation, cloud-native practices, and rapid deployment - Agile, DevOps, and continuous integration/delivery practices |
| Topic 6: Guiding Principles and Foundational Concepts for Velocity | 20% | - Lean, agile, resilient, and continuous principles - Service-dominant logic, design thinking, complexity thinking - Ethics, safety culture, lean culture, Toyota Kata |
| Topic 7: Enabling Valuable Investments | 15% | - Strategic alignment, portfolio management, business case development - Prioritization and value assessment practices |
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NEW QUESTION # 12
Which statement about high-velocity IT is CORRECT?
Answer: D
Explanation:
In high-velocity IT, the required velocity depends on the nature of the organization, its context, and its goals. Different organizations need different levels of speed; it is not a one-size-fits-all transformation.
NEW QUESTION # 13
A financial services organization must be able to demonstrate to regulators, at any time, that its automated deployment pipeline enforces required controls.
Which high-velocity IT objective does this MOST directly support?
Answer: C
Explanation:
Assured conformance is concerned with satisfying governance, risk, and compliance requirements. Techniques such as the DevOps audit defense toolkit embed controls into the delivery pipeline so that evidence of compliance is generated continuously and automatically, rather than through periodic manual audits.
NEW QUESTION # 14
An IT department has reduced its lead time for releasing application changes by using continuous integration/continuous delivery (CI/CD). However, there are still delays, particularly at the start of projects as developers wait for environments to be created.
How can the 'deployment management' practice be utilized to minimize these delays?
Answer: C
Explanation:
The deployment management practice can minimize delays by automating the deployment of infrastructure, ensuring that development environments are provisioned quickly and consistently, which removes bottlenecks at the start of projects.
NEW QUESTION # 15
An organization is under constant pressure to release new software features. Shortcuts are sometimes used to introduce features, and incidents are often solved with workarounds. As a result, the product is becoming increasingly difficult to maintain.
Which is the BEST approach to take in this situation?
Answer: D
Explanation:
In high-velocity environments, frequent shortcuts and workaround-driven fixes typically accumulate technical debt, making systems harder to maintain and increasing long-term risk.
Actively allocating resources to reduce technical debt addresses the root cause by improving system maintainability, reducing complexity, and stabilizing future development and operations.
NEW QUESTION # 16
An IT operations team is overwhelmed by the volume of monitoring alerts and cannot distinguish significant events from noise. Management wants to use machine learning to detect anomalies and correlate related events automatically.
Which capability is being introduced?
Answer: C
Explanation:
AIOps applies artificial intelligence and machine learning to IT operations data in order to detect anomalies, correlate events, reduce alert noise, and identify probable causes. This allows teams to focus attention on meaningful signals and to respond to emerging issues faster than manual analysis would allow.
NEW QUESTION # 17
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