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HomeClaude Certified Architect - Foundations (CCAR-F)Scenario 3: Multi-Agent Research System
Scenario brief199 words

Scenario 3: Multi-Agent Research System

Claude Certified Architect - Foundations (CCAR-F)

Scenario 3: Multi-Agent Research System

You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.

Passage quoted verbatim from the official CCAR-F exam guide v1.0, section 5.

This scenario on the exam

Scenario
3 of 6 — four are dealt at random
Primary domains
3
Questions in this hive
47

Primary domains

  • Agentic Architecture & Orchestration
  • Tool Design & MCP Integration
  • Context Management & Reliability

What the exam asks inside this context

  • What a subagent inherits. Nothing. Not the parent conversation, not earlier findings, not memory between invocations — so the synthesis subagent gets the complete prior findings in its prompt or it does not have them.

  • Decomposition that covers. Slice a topic too narrowly and every slice is complete while the cross-cutting question is owned by nobody. Partition scope, by subtopic or by source type, before the subagents start.

  • Errors that a coordinator can act on. Failure type, what was attempted, partial results, alternatives. A generic 'search unavailable' is technically true and useless.

  • Provenance through synthesis. Claim-source mappings with URLs, document names and excerpts, preserved and merged rather than compressed away — plus dates, so a year-old figure is not read as a contradiction.

Where this scenario catches people

Conflicting statistics from two credible sources are not a problem to resolve. The report annotates both with attribution and lets the reader see the disagreement; picking one value presents a contested number as settled, which is the specific failure this scenario is built to catch.

Read the passage once, properly

Every item in this block shares this passage, so the two minutes you spend on it are amortised across the whole block — and the details in it are load-bearing. The named tools, the stated target, the tools the agent is said to have: each of those has been the deciding fact in a question.

What is quoted, and what is argued

The passage and the primary-domain list are the exam guide's own words. Everything after them is this hive's reading of what the domains imply for this context — useful preparation, not an official statement about what the exam contains. The guide publishes 60 items and 4 scenarios per sitting and does not publish a per-scenario count, so none is quoted here.

All Claude Certified Architect - Foundations (CCAR-F) Study Resources

Related Notes

  • CCAR-F: how the exam is dealt194 words
  • Scenario 1: Customer Support Resolution Agent225 words
  • Scenario 2: Code Generation with Claude Code185 words
  • Scenario 4: Developer Productivity with Claude197 words
  • Scenario 5: Claude Code for Continuous Integration168 words
  • Scenario 6: Structured Data Extraction185 words
  • Domain 1: Agentic Architecture & Orchestration169 words
  • Domain 2: Tool Design & MCP Integration157 words
  • Domain 3: Claude Code Configuration & Workflows150 words
  • Domain 4: Prompt Engineering & Structured Output150 words
  • Domain 5: Context Management & Reliability165 words

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