Important Scaled Agile SAFe-SASM Exam Questions

Answer: A

Explanation:

The primary measurement during the Inspect and Adapt (I&A) event in SAFe is the program predictability measure. This metric assesses the Agile Release Train's (ART) ability to deliver on its commitments within a Program Increment (PI). It helps teams understand how accurately they can plan and execute work, providing a basis for continuous improvement. By focusing on predictability, organizations can improve their planning processes, align better with business objectives, and ensure more reliable delivery of value.

Answer: A

Explanation:

The program predictability measure is the primary metric used during the quantitative measurement part of the Inspect and Adapt (I&A) event in SAFe. This measure assesses how reliably the Agile Release Train (ART) can deliver business value within the Program Increment (PI) timebox. It helps to:

Evaluate the team's ability to meet their commitments.

Identify areas where predictability can be improved.

Ensure that the business value planned for the PI is actually delivered.

By focusing on the predictability of business value, organizations can better align their planning and execution efforts, ultimately enhancing customer satisfaction and achieving strategic goals more effectively.

SAFe Scrum Master Reference

SAFe Inspect and Adapt events

SAFe 5.0 framework: using program predictability as a key metric to assess and improve ART performance.

Answer: A

Explanation:

Utilization refers to the percentage of a team's capacity that is being used. When team members are highly utilized (i.e., their capacity is nearly fully booked), it often leads to longer lead times. This is because:

High utilization reduces the team's flexibility to handle new or unexpected work.

It can cause bottlenecks as individuals or teams become overburdened with tasks.

There is less room for managing variability, leading to delays and increased cycle times.

In contrast, lower utilization rates typically allow for more flexibility and quicker response times, reducing lead times. Therefore, higher utilization generally results in longer lead times due to increased bottlenecks and reduced capacity to handle new tasks efficiently.

SAFe Scrum Master Reference

SAFe Advanced Scrum Master learning materials

Principles of Lean-Agile development: optimizing flow by managing queue lengths and reducing batch sizes to improve lead times and throughput.

Answer: C

Explanation:

Creating a buffer state between two states in a Kanban board can help regulate the flow of work and address the varying completion times.

Buffer State Purpose: Acts as a holding area to balance the flow between different stages of work, smoothing out variances in completion times.

Flow Regulation: Ensures that work can continue smoothly without bottlenecks or idle times.

Work In Progress (WIP) Limits: Helps maintain a steady flow by preventing too much work from accumulating in any one state.

This approach aligns with Lean principles of managing flow and reducing variability in processes.

SAFe Scrum Master Reference:

SAFe Advanced Scrum Master Training Material, Chapter on Kanban Systems.

Answer: A

Explanation:

Cumulative Flow Diagram (CFD): A CFD is a visual tool used in Kanban and Scrum to show the progress of work items through different stages of the workflow over time.

Arrival and Departure Curves: These curves represent the work items entering (arrival) and leaving (departure) the system.

Growing Distance: If the distance between the arrival and departure curves on the CFD is growing apart, it indicates that work items are taking longer to move through the system.

Lead Time: This term refers to the total time from when a work item is created until it is completed. An increasing distance between the curves means that work items are spending more time in the system, thus increasing the lead time.

SAFe Scrum Master Reference:

SAFe materials on flow metrics and Kanban principles highlight the importance of monitoring lead time and using CFDs to identify bottlenecks and inefficiencies in the workflow.