Delightful Events (DE)
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.
Community-Compiled Content
All material on this page — scenario briefs, solutions, presentations, and Q&A discussions — is compiled from publicly available sources including YouTube walkthroughs, community blogs, CTA coaching sites, and mock board recordings. We have only organized and presented what was found online. The architectural approaches, product recommendations, and patterns discussed may not reflect current Salesforce products, naming conventions, or best practices. Always verify against official Salesforce documentation.
Scenario Snapshot
| Field | Detail |
|---|---|
| Start here | Discovery index |
| Scenario source | Community scenario (Flow Republic) |
| Current status | Live (FR) |
| First public date | N/A |
| Primary source | Open primary source |
| Coverage available | Scenario brief |
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
Board Insights & Common Pitfalls
Generalized Judge Questions
- Spreadsheet Replacement: “How does your solution specifically replace the ‘highly automated spreadsheet’ while ensuring the event organizers don’t lose the speed of bulk entry?”
- RSVP LDV: “With 37.5M RSVPs per year, your table will exceed 100M records in 3 years. How will this impact performance, and what is your specific archiving strategy?”
- Bid Visibility Silos: “How do you ensure that partners can collaborate on a bid with colleagues while remaining strictly blocked from seeing competing suppliers’ bids?”
- Markup Visibility: “The customer must see the price including the markup, while staff sees the base cost. How do you implement this securely using field-level security or separate objects?”
- Event Capacity Logic: “Walk me through the technical flow for the system to ‘suggest up to 10 potential suppliers’ for an event. Is this an LWC filter or an Einstein recommendation?”
Common Mistakes
- Failing the “Spreadsheet” Test: Trying to rebuild a 100-item automated spreadsheet using standard Salesforce Page Layouts. This fails the productivity requirement.
- Missing Junction Objects: Not accounting for the many-to-many relationship between 5,000 suppliers and 1,000 services (Supplier-Service object).
- Vague RFP Security: Allowing partners to see other partners’ bids or client-sensitive information due to an oversimplified sharing model.
- Underestimating RSVP Volume: Storing millions of historical RSVPs in standard objects without suggesting Big Objects or an external data lake for reporting.
Strong Patterns
- LWC Grid for Productivity: Using a custom LWC with a grid-like interface to mimic spreadsheet efficiency for bulk event service entry.
- CPQ for Complex Markup: Using Salesforce CPQ to handle the complex tiered markup and variable service charge requirements natively.
- MuleSoft RSVP Ingest: Using MuleSoft to aggregate and buffer the 2,500 RSVPs per event hitting Salesforce from the CountMeIn (.NET) system.
Strategic Insights
- UX-First Board: In Delightful Events, judges care deeply about the User Experience (UX). You must prove the new system is as fast as the “beloved” spreadsheet it replaces.
- Collaborative Bidding: Success depends on a strong Partner Portal strategy using Account Relationship Data Sharing or Apex Sharing to allow partner-to-partner collaboration within a bid.
Additional Notes
- Global event management scenario focusing on complex RFP/Bid processes, global logistics, and high-volume guest RSVPs.
Related Study Topics
Always verify against official Salesforce documentation
This content is study material for CTA exam preparation. Content compiled and presented with AI assistance. Not affiliated with Salesforce.
Personal study notes for the Salesforce CTA exam. Content compiled from VJ's study notes, official Salesforce documentation, community sources, and online publicly available content, then organized and presented with AI assistance. Not affiliated with Salesforce. © 2025–2026 VJ Srivastava.