Description

Prepare with confidence and pass the Claude Certified Architect exam on your first attempt.This course is designed to give you a real exam experience with high-quality, practice tests that closely match the structure, difficulty, and style of the actual Claude Architect certification.Whether you’re an AI engineer, software developer, or architect working with large language models, these tests will help you validate your knowledge and identify gaps before the real exam.1. Exam OverviewFormat: Multiple choice (100–1,000 scaled score; 720 to pass).Experience Level: Recommended 6+ months of hands-on experience.Key Technologies: Claude API, Claude Agent SDK, Claude Code, and Model Context Protocol (MCP).2. Core Domains & WeightingThe exam is divided into five functional domains:DomainWeightKey Focus Area1. Agentic Architecture27%Loops, multi-agent orchestration, and hooks.2. Tool Design & MCP18%Tool definitions, error handling, and MCP servers.3. Claude Code20%CLAUDE md, slash commands, and CI/CD integration.4. Prompt Engineering20%Structured output (JSON), few-shotting, and precision.5. Context & Reliability15%Context window management and escalation logic.3. High-Value Architectural ConceptsTo succeed, you must understand these specific technical patterns:Agentic Loops & Multi-Agent OrchestrationThe “Hub-and-Spoke” model is the standard for complex systems.The Loop: You must inspect stop_reason. If it is tool_use, you execute the tool and feed the result back; if end_turn, the task is finished.Context Isolation: Subagents do not inherit the coordinator’s history. You must explicitly pass relevant data in the subagent’s prompt.Parallelism: To speed up workflows, a coordinator can emit multiple Task tool calls in a single turn.Tool Design & MCPDescriptions are Everything: The model chooses tools based on the text description. Ambiguous descriptions lead to “hallucinated” tool calls or misrouting.MCP Resources vs. Tools: Use Resources for data catalogs (read-only schemas or docs) and Tools for actions (searching, writing).Error Handling: Use the isError flag and provide structured metadata (e.g., isRetryable: true) so the agent knows whether to try again or escalate.Claude Code & CLAUDE mdThe Hierarchy: * User-level: ~/.claude/CLAUDE md (Personal settings, NOT shared).Project-level: Root CLAUDE md (Shared via Git, contains team standards).Plan Mode vs. Direct Execution: Use Plan Mode for architectural changes or multi-file refactors. Use Direct Execution for small, well-defined bug fixes.CI/CD: Use the -p (print) flag for non-interactive runs to prevent the pipeline from hanging on user prompts.4. Key Study Tips for Scenario QuestionsThe exam will randomly select 4 out of 6 possible scenarios (Support Agent, Code Gen, Research System, Dev Productivity, CI/CD, and Data Extraction).Pro-Tip: Focus on the Mental Models. For example, always choose programmatic enforcement (hooks/gates) over “prompt instructions” for critical safety or financial rules (like a $500 refund limit), because prompts are probabilistic, while code is deterministic.