SCALED AGILE SAFE-APM QUESTIONS MATERIAL FORMATS

Scaled Agile SAFe-APM Questions Material Formats

Scaled Agile SAFe-APM Questions Material Formats

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The Scaled Agile SAFe-APM is available in three easy-to-use forms. The first one is Scaled Agile SAFe-APM dumps PDF format. It is printable and portable. You can print SAFe Agile Product Manager (APM 5.1) (SAFe-APM) questions PDF or access them via your smartphones, tablets, and laptops. The PDF format can be used anywhere and is essential for students who like to learn on the go.

Scaled Agile SAFe-APM Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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.

Scaled Agile SAFe Agile Product Manager (APM 5.1) Sample Questions (Q16-Q21):

NEW QUESTION # 16
What criterion must be satisfied before a Feature can flow from the analysis state to the backlog state on an ART Kanban?

  • A. Teams define the build and test Solution
  • B. The Feature is integrated and deployed
  • C. The benefit hypothesis and acceptance criteria are defined
  • D. The Feature is decomposed into Stories

Answer: C

Explanation:
The benefit hypothesis and acceptance criteria are the criteria that must be satisfied before a Feature can flow from the analysis state to the backlog state on an ART Kanban. The benefit hypothesis and acceptance criteria are part of the definition of a Feature, which represents a solution functionality that delivers business value and fulfills a stakeholder need. The benefit hypothesis states the expected outcome and benefit of implementing the Feature, while the acceptance criteria define the conditions that must be met for the Feature to be accepted by the stakeholders. The benefit hypothesis and acceptance criteria help to clarify the scope, value, and quality of the Feature, and to guide the implementation and validation of the Feature.
References:
* Features and Capabilities - Scaled Agile Framework
* ART and Solution Train Backlogs - Scaled Agile Framework
* Which two criteria must be satisfied before a Feature flows from ...


NEW QUESTION # 17
Which statement is true about designing a data strategy?

  • A. It is best when architected in the analyzing state within the ART Kanban
  • B. It requires collaboration between Product Managers and their Customers
  • C. It should be approached as a one-time project
  • D. Data monetization vastly increases the short-term value of products

Answer: B

Explanation:
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.
Reference:
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


NEW QUESTION # 18
What metric should Product Managers primarily focus on to help guide the evolution of the products?

  • A. Flow Metrics
  • B. Output Metrics
  • C. Vanity Metrics
  • D. Outcome Metrics

Answer: D

Explanation:
Outcome metrics are the metrics that measure the impact and value of a product on the customers and the business. Outcome metrics help product managers to guide the evolution of the products by focusing on the desired outcomes and benefits, rather than the outputs and features. Outcome metrics also help product managers to validate the assumptions and hypotheses behind the product strategy, and to iterate and improve the product based on customer feedback and data.
References:
* Outcome Metrics - Scaled Agile Framework
* 5 Essential Metrics for Product Managers
* Output vs. Outcome Metrics: What's the Difference? | ProductPlan


NEW QUESTION # 19
Feature estimates are aggregated back into the Epic estimate as part of which artifact?

  • A. Portfolio Roadmap
  • B. Customer journey map
  • C. Lean business case
  • D. Capabilities

Answer: C

Explanation:
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.
References:
* Lean Business Case - Scaled Agile Framework
* Epic - Scaled Agile Framework
* Feature estimates are aggregated back into the Epic estimate as part of ...


NEW QUESTION # 20
What research technique is used to develop personas?

  • A. Solution Content
  • B. Product Vision
  • C. Journey Map
  • D. Storyboard

Answer: C

Explanation:
A journey map is a research technique that is used to develop personas. A journey map is a visual representation of the steps, interactions, and emotions of a user as they go through a process or a service. A journey map can help develop personas by identifying the pain points, opportunities, and gaps in the current state, and by generating ideas for improving the user experience and value proposition in the future state. A journey map can also help communicate the user needs and expectations to the stakeholders and align them on a common vision and goal.
References:
* Journey Maps - Scaled Agile Framework
* Journey Mapping 101 | Nielsen Norman Group
* Journey Mapping: The Ultimate Guide | Miro
* Journey Mapping: How to Create One and Why It's Important


NEW QUESTION # 21
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