Greens and Veg
AI-Assisted Study Note
This page brings together public scenario links and AI-assisted research notes for study use. Start with the scenario brief, make your own attempt, and open the spoiler section only when you are ready to compare.
Scenario Snapshot
| Field | Detail |
|---|---|
| Start here | Current scenario brief hub |
| Scenario source | Community scenario (Andrew Hart / CTA202) |
| Current status | Live (GoF) |
| First public date | 2021-04 |
| Primary source | Open primary source |
| Coverage available | Scenario brief + Solution + Discussion or analysis |
Why This Scenario Matters
- This is the strongest public written-solution scenario found in this pass.
- It is unusually valuable because the support is not just commentary; it is a genuine solution walk-through.
Only Open If You Have Attempted the Scenario
The section below contains public follow-up links, board-call material, and AI-assisted notes compiled from those public sources.
Open follow-up links, Q&A, and analysis
Follow-Up Links
- Current scenario brief hub
- Medium walkthrough, Part 1
- Medium walkthrough, Part 2
- Scenario list reference
Board Insights & Common Pitfalls
Generalized Judge Questions
- System Risk: “You decided to replace the ‘Evergreen’ and ‘Marketplace’ systems simultaneously. What are the risks of this ‘big bang’ approach, and how would you mitigate them?”
- LDV Performance: “With 260M+ orders projected by Year 5, how will your design ensure the Order object remains performant for daily operational reporting?”
- Integration Resilience: “What happens if the Government Permit Verification API is down for 4 hours? How does your solution prevent a bottleneck in supplier onboarding?”
- Identity Layering: “Why did you choose to keep the legacy LDAP system instead of a full migration to Okta? How are you handling provisioning for external farmers?”
- Case Sharing: “How do you handle the requirement for regional VPs to see all data in their region while restricting cross-regional data, given Case limitations with Territory Management?”
Common Mistakes
- Underestimating Order Volume: Failing to provide a concrete archival strategy for 52M+ annual orders. Keeping too much data in Salesforce instead of an EDW with virtualization is a major fail.
- Ignoring Offline Needs: Suppliers (farmers) often operate in poor connectivity areas. Forgetting Mobile Publisher with offline “Store and Forward” capabilities is a frequent miss.
- Generic Integration Patterns: Using “Real-time” for legacy supplier systems. Failing to use an ESB for protocol conversion or specifying Async patterns for long verifications is a red flag.
- Suboptimal Sharing: Using Apex Sharing for high-volume objects (Orders/Cases) instead of leveraging standard Criteria-Based Sharing or Role Hierarchy.
Strong Patterns
- Dual-Invoice Model: Creating separate “Customer Orders” (from restaurants) and “Supplier Orders” (routed to specific farms) to handle the brokerage logic.
- LDV “Hot Data” Strategy: Keeping only the “last 5 orders” per customer in Salesforce for operations, while offloading the rest to an external data lake (Snowflake/AWS).
- ESB Decoupling: Using MuleSoft to decouple Salesforce from the 200+ different external systems and protocols used by global suppliers.
Strategic Insights
- The “Fit for Purpose” Legacy: A key requirement is often to keep the existing Marketplace App because it contains complex, working geolocation logic. Replacing it introduces unnecessary risk.
- Global Compliance Gate: Ensuring the “Government Permit Verification” is a hard gate in the supplier onboarding flow before any commercial activity can occur.
Date Notes
- CTAGOF lists this scenario as
Apr 2021. - CTA202’s current public page is dated
2024-12-26. - Pedro Tavora Santos’s two-part walkthrough was published in October 2025.
Additional Notes
Greens & Vegis a common alias for the same scenario.
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