Scaled Agile SAFe DevOps Practitioner Exam SDP (6.0) Exam

Agile Release Trains (ARTs) should release on demand, which means releasing new functionality immediately or incrementally based on business and customer needs. Release on demand is the final aspect of the Continuous Delivery Pipeline (CDP) in SAFe DevOps, which enables the delivery of value to the end user as fast as possible, based on market demand. The decision of what and when to release is a critical economic driver that requires careful consideration of the customer needs, market rhythms, and economic outcomes.Release on demand is decoupled from the Continuous Deployment activity, which automates the migration of new functionality from a staging environment to production, where it is made available for release

Two security skills that are part of the Continuous Integration aspect are application security and penetration testing. Application security is the practice of protecting the software applications from malicious attacks, unauthorized access, data breaches, and other threats. It involves applying security principles and techniques throughout the software development lifecycle, such as secure coding, code analysis, code review, security testing, and security monitoring.Application security helps to ensure that the software meets the security requirements and standards, and that it does not introduce any vulnerabilities or risks to the system or the users910

Penetration testing is the practice of simulating real-world attacks on the software applications to identify and exploit any security weaknesses or flaws. It involves using various tools and methods to probe, scan, attack, and bypass the security defenses of the software, such as firewalls, encryption, authentication, and authorization. Penetration testing helps to evaluate the security posture and resilience of the software, and to provide recommendations for improvement or remediation.Penetration testing is usually performed by external or independent experts, who have the permission and authorization to conduct the tests

The %C&A metric measures the percent of time downstream customers receive work that is usable as-is in the Continuous Delivery Pipeline. The %C&A metric is a measure of the quality of the work output from a process step. It indicates the percentage of time that the downstream customers receive work that is acceptable as is, without any rework or errors. To calculate the %C&A metric, the people responsible for the next step need to inspect the work output from the previous step and determine whether it meets the quality standards and expectations. They also need to provide feedback to the previous step on the defects or issues they find and how they affect the value stream. By measuring the %C&A metric, the enterprise can gain insight into the current state of the delivery process, such as the lead time, cycle time, throughput, quality, and waste. This insight can help the enterprise identify bottlenecks, dependencies, handoffs, delays, and inefficiencies that affect the flow of value. The %C&A metric can also help the enterprise understand how the flow of value can be improved by applying the principles and practices of DevOps, such as culture, automation, lean flow, measurement, and recovery.By improving the %C&A metric, the enterprise can increase customer satisfaction, reduce costs, accelerate time-to-market, and enhance business agility

The purpose of a minimum viable product is to validate the hypothesis. A minimum viable product (MVP) is an early and minimal version of a new product or solution used to prove or disprove an epic hypothesis. An epic is a significant solution development initiative that requires the definition and approval of an MVP. An epic hypothesis is a statement that describes the expected outcome, benefit, and value of an epic. The MVP is the smallest possible solution that can be used to test the epic hypothesis with real customers or users, and to gather feedback and data. The MVP helps reduce the risk of investing in a solution that nobody wants or needs, and enables faster learning and adaptation.The MVP is not the final product or solution, but rather a starting point for further development and improvement

Culture is a core DevOps principle. DevOps is not only a set of technical practices, but also a mindset and a culture that supports the integration, automation, and collaboration needed to effectively develop and operate a solution. DevOps culture is based on the following values and behaviors:

Shared responsibility -- DevOps culture fosters a sense of shared ownership and accountability for the entire solution lifecycle, from ideation to operation. Development and operations teams work together, not only to help each other, but also to ensure that the overall organization succeeds. DevOps culture eliminates the blame game and the silo mentality, and encourages mutual trust and respect among all stakeholders.

Continuous learning -- DevOps culture promotes a culture of continuous learning and improvement, where teams are constantly seeking feedback, experimenting with new ideas, and learning from failures. DevOps culture embraces a growth mindset, where teams are not afraid to try new things, challenge the status quo, and learn from their mistakes. DevOps culture also supports a learning organization, where teams share their knowledge and best practices, and leverage the collective intelligence of the whole enterprise.

Customer focus -- DevOps culture emphasizes the importance of delivering value to the customer, and aligning the solution to the customer needs and expectations. DevOps culture applies customer-centric and design thinking approaches, such as personas, empathy maps, and customer journeys, to understand and empathize with the customer problems and desires. DevOps culture also validates the assumptions and hypotheses about the customer value proposition, by collecting and analyzing data and feedback from the customer.

Automation -- DevOps culture leverages automation to improve the efficiency, quality, and reliability of the solution delivery process. DevOps culture applies automation to various aspects of the Continuous Delivery Pipeline, such as testing, integration, deployment, monitoring, and security.DevOps culture also uses automation to reduce manual work, eliminate human errors, and accelerate feedback loops5