DAC Backlog Refinement & Prioritization 3 — Questions and Answers
Question 1: In DA's Disciplined DevOps layer, how does continuous deployment affect backlog prioritization?
- It eliminates the need for a product backlog entirely
- It shifts prioritization toward smaller, releasable increments with clear deployment readiness criteria (Correct answer)
- It requires all backlog items to be approved by the release train engineer first
- It moves prioritization authority from the product owner to the DevOps team
Correct answer: It shifts prioritization toward smaller, releasable increments with clear deployment readiness criteria
Continuous deployment favors small, independently deployable items, so prioritization must account for deployment complexity and readiness.
Question 2: When applying the DA process goal 'Manage the Work Item List,' which of the following activities is explicitly included?
- Assigning story points using Planning Poker only
- Triage, ranking, and estimating work items (Correct answer)
- Conducting formal change control board reviews
- Publishing a fixed-scope release plan quarterly
Correct answer: Triage, ranking, and estimating work items
The DA process goal for managing the WIL includes triaging incoming work, ranking items by priority, and estimating effort.
Question 3: A team is using Kanban within the DA context. How does backlog refinement differ compared to a Scrum-based team?
- Kanban teams do not refine backlog items at all
- Refinement is event-driven and occurs continuously as capacity becomes available rather than on a fixed cadence (Correct answer)
- Kanban teams must refine at least two sprints ahead
- Refinement is done exclusively by the coach, not the team
Correct answer: Refinement is event-driven and occurs continuously as capacity becomes available rather than on a fixed cadence
In a Kanban context within DA, refinement is pull-based and continuous rather than tied to sprint boundaries.
Question 4: What is the primary purpose of 'slicing' user stories during backlog refinement?
- To assign stories to individual developers
- To break large stories into smaller, independently deliverable pieces that reduce batch size (Correct answer)
- To convert stories into formal requirements documents
- To eliminate technical debt items from the backlog
Correct answer: To break large stories into smaller, independently deliverable pieces that reduce batch size
Slicing decomposes large stories into thin vertical slices that each deliver end-to-end value and can be completed within an iteration.
Question 5: Which DA mindset principle directly supports collaborative backlog refinement sessions with the whole team rather than just the product owner?
- Enterprise awareness
- Collaborate proactively (Correct answer)
- Apply design thinking
- Pragmatism
Correct answer: Collaborate proactively
DA's 'Collaborate proactively' mindset encourages whole-team participation in refinement to leverage diverse knowledge and build shared understanding.
Question 6: A coach notices a team's backlog has over 400 items, many of which are months old and never addressed. What DA-aligned action should they recommend?
- Archive the entire backlog and start fresh
- Conduct a backlog pruning session to archive, delete, or re-triage stale items (Correct answer)
- Split the backlog into two separate lists for the team to manage
- Promote all items to the current sprint to clear the queue
Correct answer: Conduct a backlog pruning session to archive, delete, or re-triage stale items
DA advocates for regularly pruning the WIL to remove stale items that no longer reflect current priorities and to keep the list manageable.
Question 7: In the DA context, what does it mean to 'right-size' a work item during refinement?
- Assigning the item to the most senior developer
- Ensuring the item is small enough to be completed within an iteration but large enough to deliver measurable value (Correct answer)
- Rounding story point estimates to the nearest Fibonacci number
- Splitting all items into exactly two sub-tasks
Correct answer: Ensuring the item is small enough to be completed within an iteration but large enough to deliver measurable value
Right-sizing ensures items are appropriately granular—small enough to fit in an iteration yet meaningful enough to provide customer value.
In DA's Disciplined DevOps layer, how does continuous deployment affect backlog prioritization?