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Scrum SAFe-POPM Exam Syllabus Topics:

TopicDetails
Topic 1
  • Leadership for PI Planning: It delves into concepts of Team Kanban, Backlog Refinement, Iteration Review, Iteration Planning, and Iteration Retrospective.
Topic 2
  • PI Planning Preparation: The topic focuses on Solution Vision, Customer-centric Features, PI Planning, and ART Backlog.
Topic 3
  • Product Owner
  • Product Management Roles and Responsibilities: It discusses Lean-Agile mindset, Value Streams, and Product Owner
  • Product Management Responsibilities.
Topic 4
  • PI Execution: This topic discusses PO Sync, System Demo, Innovation and Planning Iteration, and Inspect and Adapt.

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Scrum SAFe Product Owner/Product Manager POPM (6.0) Sample Questions (Q42-Q47):

NEW QUESTION # 42
What is a pattern for splitting Features into Stories?

Answer: A

Explanation:
A pattern for splitting Features into Stories is to use variations in data, which means identifying different types of data that the feature can handle and creating a story for each type. For example, a feature that allows users to upload files can be split into stories for different file formats, sizes, or sources. This way, the stories are independent, testable, and valuable12 References:
* Story - Scaled Agile Framework
* User stories splitting by data variations and interfaces


NEW QUESTION # 43
What are the minimum requirements for a Feature?

Answer: C

Explanation:
Explanation
The minimum requirements for a feature are a name, a benefit hypothesis, and acceptance criteria12. A name is a brief and descriptive phrase that summarizes the feature. A benefit hypothesis is a statement that describes the expected outcome and value of the feature for the customer or user. Acceptance criteria are a set of conditions that the feature must satisfy to be accepted by the customer or stakeholder12.
Some additional information that might be helpful for you are:
*The other options (A, C, and D) are not the minimum requirements for a feature, but rather additional or optional elements that may be included in the feature definition.
*Data models are representations of the data structures and relationships that the feature requires or affects.
Data models are not mandatory for a feature, but they may be useful for complex or data-intensive features3.
*Priority is the relative importance or urgency of a feature compared to other features. Priority is not a requirement for a feature, but it is a factor that influences the feature selection and sequencing4.
*Non-functional requirements (NFRs) are system qualities that guide the design of the solution and often serve as constraints across the relevant backlogs. NFRs are not specific to a feature, but they may affect the feature implementation or testing5.
*Architecture is the design and structure of the system that supports the solution. Architecture is not a requirement for a feature, but it is an enabler that facilitates the feature delivery.


NEW QUESTION # 44
In a 12-week PI, how often does the Innovation and Planning (IP) Iteration occur?

Answer: A

Explanation:
The Innovation and Planning (IP) Iteration is a unique, dedicated iteration that occurs every Program Increment (PI). A PI is a timebox of 8 to 12 weeks, during which an Agile Release Train (ART) delivers incremental value in the form of working, tested software and systems. Therefore, in a 12-week PI, the IP Iteration occurs every quarter


NEW QUESTION # 45
What is a PI Planning input that demonstrates how Product Management plans to accomplish the Vision?

Answer: C

Explanation:
The top ten Features are a PI planning input that demonstrates how Product Management plans to accomplish the Vision. The vision is a description of the future state of the solution under development, reflecting customer and stakeholder needs, as well as the features and capabilities proposed to meet those needs1. The top ten Features are the highest priority features of the ART backlog, which are derived from the vision and roadmap, and provide the most value to the customers and stakeholders2. By presenting the top ten Features to the Agile Release Train (ART) during PI planning, Product Management communicates the main objectives and scope of the upcoming Program Increment (PI), and guides the teams to plan their work accordingly2. The top ten Features also help align the teams and stakeholders to a shared mission and vision, and foster cross-team and cross-ART collaboration2.
References: 1 Vision - Scaled Agile Framework, 2 PI Planning - Scaled Agile Framework


NEW QUESTION # 46
Communicating and refining the Vision to the Agile Release Train during PI Planning supports which SAFe Core Value?

Answer: D

Explanation:
Communicating and refining the Vision to the Agile Release Train (ART) during PI Planning supports the SAFe Core Value of Alignment. Alignment is one of the four core values of SAFe that guides the behaviors and actions of the people who work under the framework1. Alignment means that everyone understands the strategic direction, the value streams, and the solution intent, and how their role and work contribute to them2.
PI Planning is a crucial event in SAFe where all the teams within the ART come together to plan their work for the upcoming Program Increment (PI)3. During PI Planning, the Product Management presents the Vision, which describes the future state of the solution and its features4. The Vision helps align the teams and stakeholders to a shared mission and goal, and provides the context and purpose for the PI objectives.
References:
* SAFe Core Values - Scaled Agile Framework
* Alignment - Scaled Agile Framework
* PI Planning - Scaled Agile Framework
* Vision - Scaled Agile Framework


NEW QUESTION # 47
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