Foundations Certification
MOCK TESTS
8
QUESTION BANK
540
ACCESS
$5
lifetime
EXAM SIM
60 Q
120 min
Unlock every Claude Certified Architect mock on explainx.
Independent practice — not Anthropic's proctored certification.
Eight timed drills on explainx — unlock all for $5 lifetime.
Balanced 30-question drill across all five domains.
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Second mixed mock — new shuffle from the bank.
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Coordinator-subagent patterns, hooks, decomposition.
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Tool descriptions, errors, MCP scoping.
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CLAUDE.md, skills, plan mode, CI flags.
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Schemas, few-shot, batch API tradeoffs.
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Scenario-framed questions from six production contexts.
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60 questions, 120 minutes — exam pacing.
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Official weightings for the Foundations exam.
Four scenarios per sitting (from six).
Customer Support Resolution Agent
MCP tools for returns, billing, refunds, escalation.
Code Generation with Claude Code
Slash commands, CLAUDE.md, plan mode vs direct execution.
Multi-Agent Research System
Coordinator with search, analysis, synthesis, report subagents.
Developer Productivity with Claude
Codebase exploration with built-in tools and MCP.
Claude Code for Continuous Integration
Automated PR review and test generation in CI/CD.
Structured Data Extraction
JSON schema validation and downstream integration.
Anthropic positions Claude Certified Architect – Foundations as a credential for solution architects who design and ship production Claude applications. The exam tests practical judgment about architecture, configuration, and tradeoffs — not trivia about model internals.
Summarized from Anthropic's public Foundations Exam Guide — confirm on Academy before you register.
The official guide lists weighted domains and granular task statements. explainx practice questions target these competencies — use this map to plan study time and pick focused mock tests.
1.1 Implement and control agentic loops
1.2 Design multi-agent orchestration patterns
1.3 Delegate work to subagents
1.4 Enforce business rules in agent workflows
Questions are scenario-framed. Each official sitting draws four scenarios at random from this pool.
Customer Support Resolution Agent
Build a support agent with the Claude Agent SDK for high-ambiguity returns, billing, and account issues. MCP tools: get_customer, lookup_order, process_refund, escalate_to_human. Target 80%+ first-contact resolution with safe escalation when policy or ambiguity requires a human.
Domains: Agentic Architecture · MCP Integration · Context & Reliability
Code Generation with Claude Code
Accelerate generation, refactoring, debugging, and docs. Integrate slash commands, CLAUDE.md hierarchies, and decide when plan mode beats direct execution for team workflows.
Domains: Claude Code · Context & Reliability
Multi-Agent Research System
Coordinator delegates to web search, document analysis, synthesis, and report subagents. Produce comprehensive, cited research — test decomposition breadth, parallel Task calls, and provenance in synthesis.
Domains: Agentic Architecture · MCP Integration · Context & Reliability
Developer Productivity with Claude
Explore unfamiliar codebases and legacy systems, generate boilerplate, automate repetitive work using Read, Write, Bash, Grep, Glob plus MCP integrations.
Domains: MCP Integration · Claude Code · Agentic Architecture
Claude Code for Continuous Integration
Automated code review, test generation, and PR feedback in CI/CD. Design prompts for actionable output and minimal false positives; non-interactive claude -p runs.
Independent mock exams aligned to the Foundations Exam Guide — not affiliated with Anthropic's proctored certification. 540 multiple-choice questions in the bank, shuffled every attempt, instant explanations after submit.
Quick answers for candidates preparing with explainx mock exams (not Anthropic support).
Anthropic's ~301-level proctored certification for solution architects building production apps with Claude Code, the Claude Agent SDK, MCP, and structured output. The official exam has 60 multiple-choice questions in 120 minutes, four scenario frames per sitting, and a scaled pass score of 720/1000.
Five weighted areas: Agentic Architecture & Orchestration (27%), Tool Design & MCP Integration (18%), Claude Code Configuration & Workflows (20%), Prompt Engineering & Structured Output (20%), and Context Management & Reliability (15%).
No. explainx.ai offers independent practice mock tests aligned to the public Foundations Exam Guide domains, task statements, and scenarios. Official registration and proctoring are through Anthropic Academy / Skilljar.
Lifetime access to all Claude Certified Architect mock tests on explainx.ai is $5 USD (one-time). Each attempt draws a shuffled subset from a bank of 1,000+ practice questions with explanations after submit.
You can browse certification and test pages without an account. Starting a timed mock test requires signing in and purchasing lifetime practice access for that program.
Eight mock tests including a 60-question full exam simulation, plus 1,000+ banked multiple-choice items across agentic architecture, MCP, Claude Code, prompt engineering, and context management.
Questions mirror the six official production scenarios: customer support agents, Claude Code development, multi-agent research, developer productivity, CI/CD with Claude Code, and structured data extraction.
Use Anthropic's Foundations Exam Guide and Academy courses for the proctored exam. Use explainx mock tests for timed MCQ practice, domain drills, and instant feedback — especially scenario-framed items and tradeoff questions.
1.5 Normalize heterogeneous tool outputs
1.6 Task decomposition strategies
1.7 Session state, resumption, and forking
2.1 Design effective tool interfaces
2.2 Structured MCP error responses
2.3 Distribute tools across agents
2.4 Integrate MCP into Claude Code
2.5 Built-in tools: Read, Write, Edit, Bash, Grep, Glob
3.1 CLAUDE.md hierarchy and modular rules
3.2 Slash commands and skills
3.3 Path-specific rules
3.4 Plan mode vs direct execution
3.5 Claude Code in CI/CD
4.1 JSON schemas and tool_use
4.2 Few-shot and review criteria
4.3 Validation-retry loops
4.4 Message Batches API tradeoffs
5.1 Context window optimization
5.2 Escalation and human-in-the-loop
5.3 Multi-agent error propagation
5.4 Information provenance
5.5 Human review routing
Domains: Claude Code · Prompt Engineering
Structured Data Extraction
Extract fields from unstructured documents, validate with JSON schemas, handle absent fields with nullables, batch via Message Batches API, route low-confidence rows to human review.
Domains: Prompt Engineering · Context & Reliability
