Claude Architect Foundations Mock Test 3 (30 Questions)
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Mock Test 3 for the Claude Certified Architect – Foundations (CCAR-F) exam: 30 scenario-based questions, a 60-minute timer and a 72% pass mark. Scenarios in this test: Customer Support Resolution Agent, Claude Code for Continuous Integration, Structured Data Extraction. Submit to see your score, a per-domain breakdown and an explanation for every option.
What this mock test covers
- Agentic Architecture & Orchestration — 8 questions
- Tool Design & MCP Integration — 6 questions
- Claude Code Configuration & Workflows — 6 questions
- Prompt Engineering & Structured Output — 6 questions
- Context Management & Reliability — 4 questions
Review these lessons before or after the test:
- Claude Agentic Loop: stop_reason, Tool Results and Anti-Patterns
- Multi-Agent Orchestration with Claude: Coordinators and Subagents
- Claude Agent SDK Hooks, Prerequisite Gates and Human Handoffs
- Task Decomposition and Session Management in Claude Code
- Claude Tool Design: Descriptions, Tool Distribution and tool_choice
- MCP Tool Error Handling: isError, Error Categories and Retries
- MCP Integration in Claude Code: Scopes, Resources and Built-in Tools
- CLAUDE.md Configuration Guide: Hierarchy, @import and Path-Specific Rules
- Claude Code Slash Commands and Skills (SKILL.md Frontmatter)
- Claude Code Plan Mode vs Direct Execution and Iterative Refinement
- Claude Code in CI/CD: -p Flag, JSON Output and Automated PR Review
- Prompt Engineering for Claude: Explicit Criteria and Few-Shot Examples
- Claude Structured Output with tool_use and JSON Schema
- Claude Message Batches API and Multi-Pass Review Design
- Claude Context Management: Case Facts, Lost-in-the-Middle and /compact
- Escalation Rules and Error Propagation in Claude Agents
- Human Review, Confidence Calibration and Source Provenance
Sample questions with answers
These practice questions are not part of the timed test above.
Sample question 1
What best distinguishes an *agent* from a *workflow*?
- A. In an agent the model decides the next action from context; in a workflow, code defines the path
- B. Workflows can't use tools
- C. Agents never need a system prompt
- D. Agents use bigger models
Answer: A. Model-driven decision-making is what makes it an agent. D: model size doesn't matter here. B: workflows use tools all the time. C: agents need system prompts too.
Sample question 2
"Add comprehensive tests to this 200k-line legacy codebase." What's the best approach?
- A. Ask for 1,000 tests in one prompt
- B. Use only the Message Batches API
- C. Generate tests file by file alphabetically
- D. Map the structure, find high-impact or high-risk areas, make a prioritised plan, and adapt it as dependencies are discovered
Answer: D. Dynamic decomposition for an open-ended task. C ignores priority. A is unrealistic and unfocused. B is a delivery mechanism, not a strategy.
Sample question 3
An agent has 18 tools and selects poorly. What's the best design move?
- A. Use `tool_choice: "any"`
- B. Add more tools for coverage
- C. Increase the temperature
- D. Give each specialised agent the 4–5 tools its role needs
Answer: D. Fewer, role-scoped tools improve selection reliability. B makes it worse. A forces *a* call, not the right one. C adds randomness.
Sample question 4
Developers often run `/migrate-schema` with no arguments and get poor output. What helps?
- A. Plan mode
- B. `context: fork`
- C. A longer CLAUDE.md
- D. `argument-hint: <table-name> <target-version>` in the skill frontmatter
Answer: D. It prompts for the required parameters. B, C and A don't address missing arguments.
Sample question 5
Detailed instructions still give inconsistently formatted findings. What's the most effective technique?
- A. Lower `max_tokens`
- B. A larger model
- C. More instructions
- D. Few-shot examples showing the exact format (location, issue, severity, fix)
Answer: D. Examples beat added prose for format consistency. C, B and A don't target the cause.
Sample question 6
A downstream agent has a small context budget. What should upstream agents return?
- A. Structured key facts, citations and relevance scores
- B. Raw HTML
- C. Nothing until asked
- D. Full reasoning chains
Answer: A. It's compact and preserves what synthesis needs. D and B bloat context. C adds round trips.
Frequently asked questions
How many questions are in this mock test?
30 questions in 60 minutes, the same pace as the real 60-item, 120-minute exam.
What score do I need?
72% passes this mock. Aim for 85% or more on at least three mocks before booking the real exam.
Can I retake the test?
Yes, as often as you like. Answer options are reshuffled each time. Try the other mocks too: Mock Test 1 · Mock Test 2 · Mock Test 4 · Mock Test 5.
Are these real exam questions?
No. They are original practice questions written against the official CCAR-F exam objectives.
Independent study material by SQA Tools. Not affiliated with, endorsed by or sponsored by Anthropic. Claude is a trademark of Anthropic. Mock questions are original practice items, not real exam content. Exam facts checked against Anthropic's official exam guides and certification FAQ on 11 November 2026.