Scrum PSK-I Exam Dumps

The Kanban Guide for Scrum Teams outlines four primary Kanban practices essential for Scrum Teams:

Visualization of the Workflow.

Limiting Work in Progress (WIP).

Active management of work items in progress.

Explicit policies for workflow management, often including the identification of bottlenecks.

Inspecting and adapting the workflow is not explicitly listed as a Kanban practice for Scrum Teams. While inspection and adaptation are fundamental to Scrum (due to its reliance on empiricism), they are not specific to the set of Kanban practices integrated into Scrum.

Kanban emphasizes explicit policies for better transparency and alignment, and elements such as the Definition of Done, Definition of Ready, and Product Backlog refinement can be utilized as explicit policies to clarify the Scrum Team's working agreements. These policies help the team make consistent decisions and streamline their processes. Reference: The Kanban Guide for Scrum Teams and The Scrum Guide.

Cycle Time measures the time taken to complete individual work items, and while some items might take longer than a Sprint, on average, teams aim to have Cycle Times shorter than the Sprint duration to ensure a smooth flow and regular delivery of value. Reference: The Kanban Guide for Scrum Teams.

Supplementing Scrum with Kanban practices encourages team collaboration and swarming. Kanban practices such as visualizing the workflow, limiting WIP, and focusing on flow metrics foster an environment where team members are more likely to collaborate closely to resolve bottlenecks and ensure a steady flow of work. This collaboration, often called 'swarming,' involves team members working together on fewer items to complete them faster, thereby enhancing team dynamics and efficiency

Reducing batch size does not always guarantee an increase in overall efficiency. While smaller batch sizes can lead to faster feedback, more frequent deliveries, and reduced risk, there can be situations where reducing the batch size too much results in inefficiencies, such as increased overhead costs or excessive context switching. Thus, the relationship between batch size and efficiency depends on the context, system constraints, and the nature of the work