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The Leading SAFe (SA)(5.1.1) exam is the latest version of the SAFe Agilist certification exam. SAFe-Agilist Exam is based on the latest version of the SAFe framework, which is designed to help organizations address the challenges of scaling Agile practices across the enterprise. The SAFe framework provides a comprehensive approach to scaling Agile practices, with a focus on alignment, collaboration, and continuous improvement. The Leading SAFe (SA)(5.1.1) exam covers a range of topics related to the SAFe framework, including Agile principles and practices, SAFe roles and responsibilities, Agile planning and execution, and Agile release train planning and execution.
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Candidates who pass the SAFe-Agilist exam are awarded the SAFe-Agilist certification, which is recognized worldwide as a symbol of knowledge and expertise in the SAFe framework. SAFe 6 Agilist - Leading SAFe (SA) (6.0) certification is highly valued by organizations that are looking to adopt Agile practices at scale. It demonstrates that the certified individual has a deep understanding of the SAFe framework and is capable of leading Agile transformations in large organizations. In addition, the certification provides access to a global community of SAFe-Agilists who share best practices and support each other in their Agile journeys.
The SAFe-Agilist (SA) certification exam is designed to test the knowledge and skills of individuals in the SAFe methodology. Individuals who pass the exam will be certified as SAFe-Agilest and will have a deep understanding of the SAFe framework, principles, and practices. They will be able to lead Agile transformation initiatives and help organizations implement the SAFe framework.
Scaled Agile SAFe 6 Agilist - Leading SAFe (SA) (6.0) Sample Questions (Q24-Q29):
NEW QUESTION # 24
Whatis one of the Agile Release Train events?
Answer: B
Explanation:
Explanation
According to the SAFe Agilist 6.0 domain of Develop on Cadence, Release on Demand, an Agile Release Train (ART) is a long-lived team of Agile Teams that delivers value in a regular and predictable manner1. An ART has a set of events that occur every Program Increment (PI), which is a fixed timebox of 8 to 12 weeks2.
These events are:
PI Planning - A two-day event where all members of the ART collaborate to align on a shared vision, identify dependencies, and plan the work for the next PI3.
PI System Demo - A demonstration of the new functionality delivered by the ART in the current PI, integrated with other solutions where applicable4.
Inspect and Adapt (I&A) - A one-day event where the ART reflects on the current PI and identifies improvement actions for the next PI5.
Innovation and Planning (IP) Iteration - A two-week iteration that occurs at the end of every PI, where the ART reserves time for innovation, planning, and continuous improvement.
In addition to these PI events, an ART also has iteration events that occur every two weeks, which are:
Iteration Planning - A meeting where each Agile Team plans the work for the current iteration, based on the PI objectives and team backlog.
Iteration Review - A meeting where each Agile Team demonstrates the working software they have built in the current iteration and collects feedback from stakeholders.
Iteration Retrospective - A meeting where each Agile Team inspects their processes and practices in the current iteration and identifies improvement actions for the next iteration.
Scrum of Scrums (SoS) - A meeting where representatives from each Agile Team coordinate and collaborate on cross-team dependencies and impediments.
Product Owner Sync (PO Sync) - A meeting where Product Owners from each Agile Team align on backlog priorities and dependencies.
Therefore, out of the three options given, only Iteration Retrospective is one of the ART events. Backlog refinement is not an official event in SAFe, but rather an ongoingactivity that occurs throughout the PI.
Product Owner sync is not an iteration event, but rather a PI event that occurs every two weeks.
NEW QUESTION # 25
What else does the SAFe principle, unlock the intrinsic motivation of knowledge workers, require besides purpose and mission?
Answer: D
Explanation:
According to SAFe Principle #8, "Unlock the intrinsic motivation of knowledge workers," beyond purpose and mission, this principle emphasizes that:
"Management sets the mission with minimum constraints... Workers themselves are most qualified to make decisions about how to perform their work." This aligns with promotingautonomy,mastery, andpurpose-autonomy being enabled by minimal constraints from management.
NEW QUESTION # 26
What is one example of differentiating business objectives?
Answer: C
Explanation:
Explanation
Strategic themes are an example of differentiating business objectives. Strategic themes are specific, itemized business objectives that connect a portfolio to the enterprise strategy. Strategic themes provide guidance and direction for portfolio vision, budget allocation, value stream identification, epic prioritization, and metric definition. Strategic themes help differentiate a portfolio from its competitors and create a unique value proposition for its customers. References: SAFe Portfolio, Strategic Themes
NEW QUESTION # 27
During the PI Planning event, when are planning adjustments agreed upon?
Answer: A
Explanation:
Planning adjustments are agreed upon during the management review and problem-solving meeting in the PI planning event. The management review and problem-solving meeting is a session that occurs at the end of day one of the PI planning event. In this session, the management team reviews the draft plans of all the teams in the ART, identifies any issues or risks that need to be resolved, and proposes any changes or adjustments that are necessary to achieve the program objectives. The management team then communicates their feedback and recommendations to the teams on day two of the PI planning event. References: PI Planning, Management Review and Problem-Solving
NEW QUESTION # 28
Which statement is true about batch size?
Answer: C
Explanation:
The SAFe Workbook emphasizes that:
"Large batch sizes increase variability... Small batches go through the system faster with lower variability." The workbook includes exercises demonstrating that smaller batch sizes reduce cycle time and increase predictability, while large batches slow flow and introduce delays.
Source:01 Workbook SA (6.0).pdf, Pages 2-54 to 2-56
NEW QUESTION # 29
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