SAFe-Agilist Adapting and Thriving with SAFe Practice Question
During a PI System Demo, the Product Manager notices that a feature delivered by one team is technically complete but does not meet the intended business outcome because the team optimized for their local component rather than the full value stream. As a SAFe Agilist, what should you recommend to prevent this in the next PI?
⚠ Common exam trap
The trap here is assuming that adding more oversight or changing team structure will fix a problem that is actually caused by misalignment of objectives and unmanaged dependencies.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Ensure the team's PI Objectives explicitly link to the ART's business outcomes and include cross-team dependencies in the program board.
The root cause is that the team optimized for local component completion rather than the full value stream. Aligning PI Objectives with business outcomes and making dependencies visible ensures the team understands the end-to-end impact of their work. This fosters collaboration across teams and helps the ART deliver features that achieve the intended business results, preventing technically complete but business-irrelevant deliveries.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Instruct the team to adopt a component team structure to increase specialization and delivery speed.
Why it's wrong here
Component teams often exacerbate local optimization because they focus on their component rather than the end-to-end feature. SAFe promotes feature teams that can deliver value across the stack. Moving to a component team structure would likely worsen the problem by creating more handoffs and reducing the team's ability to deliver complete business outcomes, contrary to the goal of optimizing the whole.
- ✗
Require the team to demo only after all teams have completed their features to ensure a unified demo.
Why it's wrong here
Delaying the demo until all teams finish does not prevent local optimization; it merely postpones feedback. The core issue is that the team optimized for their component, not for the full value stream. This approach could also reduce the frequency of feedback and delay learning, making it harder to detect and correct misalignment early in the PI.
- ✗
Ask the team to include a business owner in their daily stand-up to validate each task.
Why it's wrong here
Adding a business owner to daily stand-ups increases coordination overhead and does not address the root cause of local optimization. The issue is that the team optimized for component completion rather than end-to-end value. Daily validation of tasks by a business owner is not a SAFe practice and would likely disrupt the team's self-management and flow, failing to resolve the systemic misalignment.
- ✓
Ensure the team's PI Objectives explicitly link to the ART's business outcomes and include cross-team dependencies in the program board.
Why this is correct
Linking PI Objectives to business outcomes aligns the team with the full value stream, and making dependencies visible on the program board helps the ART manage them. This directly addresses the local optimization by ensuring the team understands how their work contributes to the ART's goals and coordinates with others, reducing the chance of delivering technically complete but business-irrelevant features.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Scaled Agile exam blueprint
This SAFe-Agilist practice question is part of Courseiva's free Scaled Agile certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAFe-Agilist exam.