Most Recent Scaled Agile SAFe-APM Exam Questions & Answers

Feature estimates are aggregated back into the Epic estimate as part of the lean business case. The lean business case is a lightweight and collaborative artifact that captures the rationale, assumptions, and financial projections for an Epic. The lean business case includes the Epic value statement, which consists of the value proposition, the benefit hypothesis, and the Epic estimate. The Epic estimate is the total effort required to implement the Epic, expressed in story points. The Epic estimate is derived from the sum of the Feature estimates, which are the effort required to implement each Feature that contributes to the Epic, also expressed in story points. The Feature estimates are aggregated back into the Epic estimate as part of the lean business case to provide a realistic and data-driven projection of the cost and duration of the Epic.

Lean Business Case - Scaled Agile Framework

Epic - Scaled Agile Framework

Feature estimates are aggregated back into the Epic estimate as part of ...

According to the SAFe Agile Product Management APM (6.0) documents and learning resources, Business Owners are key ART stakeholders who have the primary business and technical responsibility for return on investment (ROI), governance, and compliance. They are critical for evaluating fitness for use and actively participating in solution development. They can provide current business feedback to guide feature enhancements by assessing the value proposition, the competitive advantage, and the expected market share of the features. They can also help align the features with the product vision and roadmap, and prioritize them based on the WSJF method.

Business Owners - Scaled Agile Framework

Customer Centricity - Scaled Agile Framework

WSJF - Scaled Agile Framework

Retainment is the category of a new feature that aims to keep existing customers loyal and satisfied with the product or service, and prevent them from switching to competitors or alternatives. Retainment features can include loyalty programs, referral incentives, customer feedback mechanisms, personalized offers, and improved customer service. Retainment features can help the business reduce customer churn, increase customer lifetime value, and enhance customer advocacy.

Feature Categories: This article from the Scaled Agile Framework explains the concept and purpose of feature categories, and how they can help product teams prioritize and communicate the value of features. It also describes the four main feature categories: new business, up-sell, operational efficiency, and retainment.

How to Stop Losing Customers: 6 Proven Ways | Pressfarm: This article from Pressfarm provides some practical tips and examples of how to stop losing customers and increase customer retention, such as staying connected, offering excellent customer experience, and providing value-added services.

According to the SAFe Agile Product Management APM (6.0) documents and learning resources, Weighted Shortest Job First (WSJF) is a prioritization model used to sequence work for maximum economic benefit. It is calculated by dividing the cost of delay by the job duration or size. To estimate the cost of delay, three factors are considered: user and business value, time criticality, and risk reduction or opportunity enablement. To estimate the job duration or size, a relative scale such as Fibonacci is used. The highest value in the Fibonacci scale is set as the ''ceiling'' and the lowest value is set as the ''floor''. The items are then scored by comparing them to the ceiling and the floor, and assigning them the closest Fibonacci number. The WSJF score is then obtained by dividing the cost of delay score by the job duration or size score. The items with the highest WSJF score are prioritized first.

WSJF - Scaled Agile Framework

Weighted Shortest Job First (WSJF) | Definition and Overview - ProductPlan

Weighted Shortest Job First - Open Practice Library

Designing a data strategy is the process of defining the vision, goals, principles, and governance of data and analytics in an organization. A data strategy should align with the business strategy and enable the delivery of value from data and AI initiatives. Designing a data strategy requires collaboration between Product Managers and their Customers, as they are the ones who understand the needs, problems, and opportunities of the market and the users. Product Managers and Customers should work together to identify the data sources, use cases, metrics, and feedback loops that will inform the data strategy and drive the data-driven decision making.

Design your data strategy in six steps | IBM

How to build and deliver an effective data strategy: part 1 - Microsoft UK Blog

Crafting Your Data Strategy - data.org

Designing Data Strategies - Development Gateway: An IREX Venture