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Scaled Agile SAFe-APM Exam Questions
- Topic 1: Analyzing Your Role as a Product Manager in the Lean Enterprise: Product Management's role and responsibilities, and Product Management stakeholders and collaborators are discussed in this topic. It also delves into explaining Design Thinking for Product Management.
- Topic 2: Continuously Exploring Markets and Users: It explains how to do market research in the context of Continuous Exploration, find the right hypothesis and ask the right questions, and applying data-driven practices to answer questions. Furthermore, it covers planning your research and using research games for customer understanding.
- Topic 3: Driving Strategy with Market Segmentation: This topic covers the process of market segmentation, including explaining how to create market segments through market research, determining the value of each market segment, and assessing the fit of the market.
- Topic 4: Using Empathy to Drive Design: This topic focuses on the purpose and use of personas, the process of creating and using personas, and techniques for improving customer experience through empathy.
- Topic 5: Defining Product Strategy and Vision: This topic includes explaining the strategic purpose of the product, creating a compelling product vision, designing value propositions and business models. Moreover, it delves into mapping out the customer journey, defining the whole product and solution context, and designing the platform, API, and data strategy to support the overall product strategy.
- Topic 6: Creating Roadmaps to Build Solutions: It discusses solution intent, market-driven roadmaps, balanced solutions, and refining features into stories and story maps.
- Topic 7: Delivering Value: This topic focuses on visualizing the development flow using a Program Kanban, estimating and forecasting the backlog, prioritizing the Program Backlog. Moreover, it explains how to create alignment through PI Planning, and execute the PI.
- Topic 8: Creating Innovation in the Value Stream: This topic includes describing the value stream and approaches to product innovation, using metrics for the guidance of improvement efforts. It discusses how to manage innovations through Epics, fund sustainable innovation, and apply rapid experimentation methods. Lastly it delves into evaluating hypothesis outcomes to determine whether to pivot, stop, or continue.
Free Scaled Agile SAFe-APM Exam Actual Questions
Note: Premium Questions for SAFe-APM were last updated On Apr. 05, 2025 (see below)
Which statement is true about designing a data strategy?
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
What research game is primarily used to better understand the priorities of Solution requirements?
Buy a Feature is a research game that is primarily used to better understand the priorities of Solution requirements. Buy a Feature is a collaborative prioritization technique that involves giving participants a fixed amount of virtual money and a list of features or requirements with different costs. The participants then have to decide which features or requirements they want to buy, either individually or in groups. The game reveals the preferences, trade-offs, and consensus of the participants, as well as the relative value and importance of each feature or requirement.
Buy a Feature - Scaled Agile Framework
Buy a Feature - Innovation Games
What Innovation Game is primarily used to better understand the priorities of Solution requirements?
What is one strength of qualitative research?
One of the strengths of qualitative research is that it can be applied to a large number of people, as it does not require a fixed sample size or a predefined set of questions. Qualitative research can use various methods, such as interviews, focus groups, observations, or document analysis, to collect data from different sources and contexts. This allows researchers to explore a wide range of perspectives, experiences, and meanings, and to generate rich and diverse insights.
Which aspect of the Continuous Delivery Pipeline (CDP) includes Gemba?
Gemba is a Japanese term that means ''the real place'' or ''the place where value is created''. In the context of the CDP, Gemba refers to the practice of going to the source of customer needs and feedback, and observing and learning from them. Gemba is an integral part of Continuous Exploration (CE), which is the first aspect of the CDP that drives innovation and fosters alignment on what should be built. CE involves applying Customer Centricity and Design Thinking to understand and create alignment on new development opportunities, and validating them with customers using hypothesis-driven experiments.
The Lean Portfolio Management team is reviewing new work moving through the Portfolio Kanban. Request 1 is incremental innovation and can likely be done by one ART in one PI. Request 2 is a major opportunity impacting multiple stages of the Value Stream, likely requiring the
participation of two ARTs over multiple PIs. Which backlog should each request be added?
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