According to the SAFe DevOps Practitioner 6.0 study guide and handbook, the Release activity is triggered by a business decision to go live. This means that the Solution is ready to be delivered to end users and customers, based on the validation and testing done in the previous activities.The handbook states that 'The Release activity is triggered by a business decision to go live.'1Therefore, this activity involves releasing value to customers on demand, while also measuring and learning from the feedback.

One practice that prevents configuration drift between production and non-production environments is immutable infrastructure. Immutable infrastructure is a management approach for infrastructure resources where changes are made by deploying new versions of resources instead of modifying existing ones. In this approach, the infrastructure is treated as an immutable asset that is built, deployed, and disposed of, rather than modified in place. For example, instead of modifying an existing virtual machine (VM), a new VM with updated configurations and software is deployed, and the old VM is disposed of. This approach eliminates the possibility of configuration drift and reduces the risk of introducing unintended changes to the infrastructure.Immutable infrastructure also simplifies the management of infrastructure resources, increases the reliability and security of the infrastructure, and facilitates rapid and consistent deployment

The statement that describes the Lean startup lifecycle is: Define the hypothesis, build a minimum viable product (MVP), continuously evaluate the MVP while implementing additional Features until WSJF determines work can stop. The Lean startup lifecycle is a highly iterative build-measure-learn cycle that has proven to be effective in optimizing the economic value of strategic investments. It consists of three learning milestones: MVP, tune the engine, and pivot or persevere. The MVP is the smallest possible experiment that allows the enterprise to test the assumptions and hypotheses of an epic or a large initiative. The tune the engine phase involves quickly adjusting and moving towards the goal based on the data and feedback gathered from the MVP. The pivot or persevere phase involves deciding whether to deliver additional value or move on to something more valuable based on the validated learning. The Lean startup lifecycle is supported by the SAFe Lean Startup Cycle, which provides guidance and tools for applying the Lean startup principles in the context of SAFe. The SAFe Lean Startup Cycle includes the following steps:

Define the hypothesis -- This step involves creating an epic hypothesis statement that defines the initiative, its expected benefits, and its leading indicators.

Build the MVP -- This step involves defining, building, and deploying the MVP that tests the hypothesis and delivers the minimum amount of value to the customer.

Evaluate the MVP -- This step involves measuring and analyzing the results of the MVP against the leading indicators and the hypothesis.

Implement additional Features -- This step involves developing and delivering additional features or capabilities that enhance the value proposition of the initiative, based on the learning from the MVP.

WSJF determines work can stop -- This step involves using the Weighted Shortest Job First (WSJF) prioritization method to determine whether the initiative has delivered enough value to the customer and the enterprise, or whether it needs more investment or termination3

The primary benefit of value stream mapping is that it provides insight into organizational efficiency and value flow. Value stream mapping is a lean technique to analyze, design, and manage the flow of materials and information required to bring a product or service to a customer. It uses a system of standard symbols to depict various work streams and information flows, and to identify value-adding and non-value-adding activities. Value stream mapping helps the organization to 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 organization identify bottlenecks, dependencies, handoffs, delays, and inefficiencies that affect the flow of value. Value stream mapping also helps the organization 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 flow of value, the organization can increase customer satisfaction, reduce costs, accelerate time-to-market, and enhance business agility