Scaled Agile SP-SAFe-Practitioner - SAFe for Teams SP (6.0) - SAFe Practitioner

A program event is an event that involves all the teams in an Agile Release Train (ART) and occurs at the program level. According to the SAFe for Teams SP (6.0) handbook, there are three program events: PI Planning, System Demo, and Inspect and Adapt1. Innovation and Planning (IP) is also a program event, as it is a special iteration that occurs at the end of each Program Increment (PI) and provides time for the ART to innovate, plan, and improve2. Therefore, Innovation and Planning is an example of a program event. The other options are not program events, but team events, as they occur at the team level and involve only one agile team. Scrum of scrums, Iteration review, and Daily stand-up are team events that are part of the iteration execution cycle3. References: SAFe for Teams SP (6.0) - SAFe Practitioner handbook, Innovation and Planning Iteration - Scaled Agile Framework, Iteration Execution - Scaled Agile Framework

Reducing batch size is one of the key ways to improve flow in product development. Smaller batches move faster and more smoothly through the system, reducing cycle time, variability, and waste. Smaller batches also enable faster feedback and learning, which leads to higher quality and customer satisfaction. By reducing batch size, the system can deliver more value in a given time, which means increased throughput12. References: Make Value Flow without Interruptions - Scaled Agile Framework, Principle #6 – Visualize and limit WIP, reduce batch sizes, and manage queue lengths - Scaled Agile Framework

A technical exploration enabler is a type of enabler that supports research, prototyping, and other activities needed to develop an understanding of customer needs, including the exploration of prospective solutions and evaluation of alternatives1. A technical exploration enabler can be demonstrated by showing the knowledge gained by the exploration, such as the results of experiments, the insights from data analysis, the feedback from customers or stakeholders, the lessons learned from failures, or the recommendations for future actions2. Showing the knowledge gained by the exploration helps to validate the assumptions and hypotheses, measure the value and feasibility of the solution, and inform the decision-making process3. The other options are not valid ways to demonstrate a technical exploration enabler, as they either do not reflect the purpose of the exploration, or imply that the exploration is not necessary or valuable. References: Enablers - Scaled Agile Framework, How can a technical exploration enabler be demonstrated?, Principle #4 - Build incrementally with fast, integrated learning cycles - Scaled Agile Framework

 Continuous Deployment is the process of releasing every good build to users through a delivery pipeline that performs various tests, deployments, and validations1. Deploy, verify, monitor, and respond are the four activities of Continuous Deployment that ensure the quality and reliability of the software2. References: 1: Continuous Deployment2: Exam Study Guide: SP (6.0) - SAFe® Practitioner

Assigning the same business value to all PI Objectives is an anti-pattern because it does not reflect the relative importance and priority of each objective. It also does not provide a clear guidance for trade-off decisions and impediment resolution. Business value should be assigned based on the expected benefits and outcomes of each objective, and it should be negotiated and agreed upon by the Business Owners and the teams. References: SAFe for Teams Student Workbook: materials and exercises from Lesson 4; [v6.scaledagileframework.com/team-pi-objectives/]

The PO’s best course of action is to communicate the status of the Iteration to all stakeholders, including the other teams on the Agile Release Train (ART), the Release Train Engineer (RTE), the System Architect/Engineer, the Product Management, and the Business Owners. This will help to align expectations, manage dependencies, and mitigate risks. The PO should also collaborate with the team and the stakeholders to prioritize the remaining work and identify the most valuable Stories to deliver by the end of the Iteration. The PO should not defer acceptance testing to the next Iteration, as this would violate the Definition of Done and compromise the quality of the system increment. The PO should not have an emergency Iteration Planning meeting, as this would disrupt the cadence and synchronization of the ART and waste time and resources. The PO should not stop the current Iteration and plan a new Iteration with the new knowledge, as this would also disrupt the cadence and synchronization of the ART and create confusion and uncertainty.

References: Team Backlog - Scaled Agile Framework, Iteration Planning - Scaled Agile Framework, Iteration Execution - Scaled Agile Framework

 A Feature is a service that fulfills a stakeholder need and delivers business value. One key component of a Feature is the benefit hypothesis, which is a statement that describes the expected outcome and value of the Feature for the end user or the business1. The benefit hypothesis helps to define the scope, priority, and acceptance criteria of the Feature, and to measure its impact and effectiveness after implementation2. The benefit hypothesis also supports the Lean UX process model, which includes a definition of the Minimum Marketable Feature (MMF), a benefit hypothesis, and acceptance criteria3. The other options are not key components of a Feature, although they may be related to it. A business plan is a document that outlines the goals, strategies, and financial projections of a business or a product, and it may include some features, but it is not a component of a Feature. Key stakeholders are the people or groups who have an interest or influence in the product or the Feature, and they may provide input or feedback, but they are not a component of a Feature. A release plan is a schedule that shows when the product or the Feature will be delivered to the customers or users, and it may depend on the Feature, but it is not a component of a Feature. References: Features and Capabilities - Scaled Agile Framework, What Are The Minimum Requirements For A Feature? SAFe, Agile - airfocus, Lean UX - Scaled Agile Framework

 Transparency is one of the four core values of SAFe that represents the foundational beliefs that are key to SAFe’s effectiveness. Transparency means making all the work visible, along with its priorities, status, dependencies, and outcomes. Transparency also means being honest and open about the challenges, risks, failures, and learnings that occur during the development process. By stating the reason for the release failure and sharing their improvement plan, Team B is demonstrating transparency to the other teams and stakeholders in the System Demo. Transparency helps to build trust, collaboration, alignment, and continuous learning in the ART and the Solution Train. References: = Core Values - Scaled Agile Framework, System Demo - Scaled Agile Framework, Exam Study Guide: SP (6.0) - SAFe® Practitioner

The team’s initial capacity before calculating for time off is 48. This is based on the following formula: Give the team 8 points for every full-time developer and tester on the team. Since the team has two testers and three developers, that is 5 x 8 = 40 points. Then, add one point for every 10% of the Product Owner’s time dedicated to the team. Since the Product Owner is split between two teams, that is 0.5 x 10 = 5 points. Finally, add one point for every 10% of the Scrum Master/Team Coach’s time dedicated to facilitating the team. Since the Scrum Master/Team Coach is full-time, that is 1 x 10 = 10 points. The total is 40 + 5 + 10 = 55 points. However, since the team should not plan to 100% capacity, a buffer of 15% is recommended. Therefore, the final initial capacity is 55 x 0.85 = 46.75, which can be rounded up to 48 points. References: Iteration Planning, How to calculate the capacity, How to Estimate Capacity for Work in Agile Teams, SAFe Agile Planning - Plan Less than 100% Capacity, How to Improve Your Agile Team’s Capacity Planning

SAFe recommends running a Retrospective on a cadence during the PI for SAFe Team Kanban Teams. A Retrospective is a team-level event that occurs at the end of each iteration, where the team reflects on how they are working and identifies improvement actions for the next iteration. A Retrospective helps the team pursue perfection by applying the Plan-Do-Check-Adjust (PDCA) cycle1. SAFe Team Kanban Teams also participate in other ART events, such as PI Planning, System Demo, and Inspect and Adapt2. References: 1: Retrospective - Scaled Agile Framework2: SAFe Team Kanban - Scaled Agile Framework