Order an evidence-gated backlog with distinct value trade-offs
A hands-on PSM-I lab. You produce the real artefact and 10 automated checks verify it behaves the way the exam expects.
Try this labAll PSM-I practice
- Certification
- PSM-I
- Format
- Structured configuration
- Difficulty
- hard
- Estimated time
- 40 min
- Automated checks
- 10
The brief
Repair learning-backlog.json. goal:{id,focus} preserves complete-paid-order and accessibility or usage-learning. order:[{item,batch,effort}] selects actual source candidates once, chronologically, with immutable effort and every prerequisite in an earlier position and earlier batch. Each chosen delivery item uses the selected route. Combine actual source effort in capacity1=4,2=5,3=5; understated printed effort cannot create capacity. decision:{route,batch,evidenceRef,basis,recommendTo} selects native/N0 or hosted/H0 after supported corresponding discovery and no later than build/config. Use a source-supported basis, retain maximum recurring cost3 and recommendTo po. Both routes and optional extra research or promotion can be defensible when real constraints hold. dispositions:[{item,status,reasonRef}] accounts for all nine source candidates: planned iff ordered, otherwise deferred, with exact relevant kind reasons from the briefing. inspection:{afterBatch,evidenceRefs:[IDs],action,claim} inspects supported chosen-route learning afterBatch1; optional other supported findings may join it. Use reorder-from-learning and conditional-backlog-plan; no artifact creates approval. report:{goalForecastBatch,focusForecastBatch,totalEffort,learningEffort,deferredEffort,recurringCost,cycleLoad:[{batch,effort}]}. Goal finish needs actual supported chosen verification. Focus integration follows chosen build/config; focus finish is max(core,focus), otherwise null. Unsupported/overloaded or wrongly understated prerequisite work cannot support either outcome. Reconcile all source effort, learning investment, deferred opportunity, recurring cost and three batch loads. Scope order affects consequences; same-batch independent rows and disposition/load rows may be reordered. Save progress, inspect failures and repair without Reset.
What the checks verify
Your work is graded on 10 independent properties, not on matching one reference answer.
- Backlog, recommendation, disposition and value records remain bounded, unique and finite.
- The learner preserves the supplied Product Goal and a meaningful selected focus.
- Selected work preserves chronological prior learning/delivery dependencies and one coherent delivery route.
- A conditional route recommendation follows its actual source-supported learning.
- Printed work obligations preserve immutable source effort.
- Actual combined source demand fits every selected work batch.
- Every candidate remains honestly planned or deferred with a relevant source-kind reason.
- Core and focus forecasts depend on actual feasible chosen-route verification and integration.
- The value ledger reconciles actual effort, learning investment, deferred opportunity and route cost.
- Supported early learning informs backlog adaptation while preserving a conditional decision boundary.
Where this sits in the PSM-I blueprint
- Domain
- Managing Products with Agility
- Objective
- Product Backlog Management
- Skill
- Ordering and Refinement
Part of PSM-I preparation
Labs are written by ExamNova to teach the decisions the exam tests. They are not reproductions of vendor lab content.