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| Section | Objectives |
|---|---|
| Topic 1: Product Ownership and Product Management in SAFe | - Customer Centricity and Design Thinking
|
| Topic 2: Program Increment (PI) Execution | - PI Planning
|
| Topic 3: Lean Portfolio and Business Alignment | - Strategic Themes
|
| Topic 4: Lean-Agile Product Delivery | - Quality and Value Delivery
|
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NEW QUESTION # 24
What can increase the effectiveness of Backlog Refinement?
Answer: B
Explanation:
Explanation
One of the factors that can increase the effectiveness of Backlog Refinement is to schedule the event on a regular cadence. Backlog Refinement is the process of reviewing, updating, and prioritizing the backlog items to prepare them for future iterations or sprints1. By scheduling the event on a regular cadence, such as once or twice per week, the team can ensure that the backlog is always accurate, relevant, and ready for planning2. A regular cadence also helps the team to avoid cramming too much work into a single session, which can lead to lower quality and reduced collaboration3.
References:
*Team Backlog - Scaled Agile Framework
*Backlog refinement - How I learned to love agile business analysis ...
*Essential Checklist for Effective Backlog Refinement (and What To Avoid ...
NEW QUESTION # 25
What is one question that helps Product Management create a Vision?
Answer: C
Explanation:
One of the questions that helps Product Management create a Vision is what problem(s) will the Solution solve for the customers and stakeholders. The Vision is a description of the future state of the Solution under development, and it reflects the needs and expectations of the customers and stakeholders1. The Vision also provides the context and purpose for the features and capabilities of the Solution2. Therefore, Product Management needs to understand the problem(s) that the Solution aims to address, and how it will deliver value and benefits to the customers and stakeholders3.
References:
* Vision - Scaled Agile Framework
* Solution Vision - Scaled Agile Framework
* What is a Product Vision Statement? | Definition and Overview
NEW QUESTION # 26
What is the next action for improvement items identified during the Iteration Retrospective?
Answer: C
Explanation:
The next action for improvement items identified during the Iteration Retrospective is to enter them as Stories in the Team Backlog. By adding these improvement items as Stories, they become part of the team's ongoing work and are prioritized alongside other tasks and user stories for future iterations or sprints1. This way, the team can track and implement the improvement actions and measure their impact on the team's performance and quality2.
References:
* Iteration Retrospective - Scaled Agile Framework
* What happens to improvement items identified during the Iteration Retrospective? - Service Centre List
NEW QUESTION # 27
Why do Agile Teams use Iteration Goals?
Answer: D
Explanation:
Explanation
Iteration Goals are a high-level summary of the business and technical goals that an Agile Team agrees to accomplish in an Iteration. They are vital to coordinating an Agile Release Train (ART) as a self-organizing, self-managing team of teams1. Iteration Goals help the team and the Product Owner to reach agreement on the business value they intend to deliver, align their work to their team PI objectives, and ground everyone on their shared purpose2.
References:
*Iteration Goals - Scaled Agile Framework
*What Is The Purpose Of Iteration Goals? - GoRetro
NEW QUESTION # 28
What are the minimum requirements for a Feature?
Answer: B
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 # 29
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