12-Week Study Plan for Exam Success
A structured, week-by-week preparation plan designed to take you from fundamentals to exam-ready in 12 weeks, spending roughly 1 hour per day.
12 Weeks
Duration
~1 Hour
Daily Time
All 5
Domains Covered
13 Tests
Practice Tests
Foundations
Agentic architecture, multi-agent systems, hooks, tool design & MCP integration
Applied Knowledge
Claude Code config, CI/CD integration, prompt engineering, validation & multi-pass review
Exam Prep
Context management, provenance, hands-on exercises, full practice exams
Week-by-Week Breakdown
Agentic Loops & Core API
Foundations · Domain 1.1Read exam guide domains 1-5 and understand the 6 scenarios
Study agentic loop lifecycle: stop_reason ('tool_use' vs 'end_turn')
Build a minimal agentic loop with the Agent SDK
Study anti-patterns: parsing NL for loop termination, arbitrary iteration caps
Practice Test 1 (Agentic Loops — 10 questions)
Review wrong answers and re-read task statement 1.1
Rest / light review
Multi-Agent Orchestration
Foundations · Domain 1.2–1.3Study hub-and-spoke architecture, coordinator role, subagent context isolation
Study Task tool for subagent spawning, allowedTools must include 'Task'
Build a coordinator + 2 subagents with explicit context passing
Study parallel subagent execution, fork_session for branched exploration
Study task decomposition pitfalls (overly narrow = coverage gaps)
Practice Test 2 (Multi-Agent Systems — 10 questions)
Rest / review
Hooks, Workflows & Sessions
Foundations · Domain 1.4–1.7Study PostToolUse hooks for data normalization and tool call interception
Study programmatic enforcement vs prompt-based guidance (deterministic vs probabilistic)
Build a hook that blocks refunds above $500 and redirects to escalation
Study session management: --resume, fork_session, named sessions, stale context
Study task decomposition: prompt chaining vs dynamic adaptive decomposition
Practice Test 3 (Hooks, Workflows & Sessions — 10 questions)
Rest / review
Tool Design & MCP
Foundations · Domain 2.1–2.5Study tool description best practices: input formats, examples, edge cases
Study structured error responses: isError, errorCategory, isRetryable
Study tool distribution: 4-5 tools per agent max, scoped tool access
Study MCP server config: .mcp.json (project) vs ~/.claude.json (user)
Study built-in tools: Read, Write, Edit, Bash, Grep, Glob — when to use each
Practice Test 4 (Tool Design & MCP — 10 questions)
Rest / review
Claude Code Configuration
Applied Knowledge · Domain 3.1–3.3Study CLAUDE.md hierarchy: user, project, directory levels
Study @import syntax, .claude/rules/ directory for topic-specific rules
Study custom slash commands (.claude/commands/) vs skills (.claude/skills/)
Study SKILL.md frontmatter: context: fork, allowed-tools, argument-hint
Study path-specific rules: YAML frontmatter with paths glob patterns
Practice Test 5 (Claude Code Config — 10 questions)
Rest / review
Plan Mode, Iteration & CI/CD
Applied Knowledge · Domain 3.4–3.6Study plan mode vs direct execution decision criteria
Study iterative refinement: concrete examples, TDD iteration, interview pattern
Study CI/CD: -p flag, --output-format json, --json-schema
Study session context isolation in CI (generator vs reviewer)
Study batch processing: Message Batches API, 50% savings, 24h window
Practice Test 6 (Plan Mode & CI/CD — 10 questions)
Rest / review
Prompt Engineering & Structured Output
Applied Knowledge · Domain 4.1–4.3Study explicit criteria over vague instructions, false positive impact
Study few-shot prompting: 2-4 examples for ambiguous cases
Study tool_use with JSON schemas: guaranteed schema compliance vs semantic errors
Study tool_choice: 'auto' vs 'any' vs forced specific tool
Study schema design: required vs optional, enums with 'other' + detail
Practice Test 7 (Prompt Engineering — 10 questions)
Rest / review
Validation, Batch & Multi-Pass
Applied Knowledge · Domain 4.4–4.6Study validation-retry loops: append specific errors to prompt
Study detected_pattern fields for tracking dismissal patterns
Study batch processing strategy: synchronous for blocking, batch for latency-tolerant
Study self-review limitations: same session retains reasoning context
Study multi-pass review: per-file local analysis + cross-file integration pass
Practice Test 8 (Validation & Multi-Pass — 10 questions)
Rest / review
Context Management
Exam Prep · Domain 5.1–5.3Study progressive summarization risks, 'lost in the middle' effect
Study 'case facts' blocks, trimming verbose tool outputs, position-aware ordering
Study escalation patterns: customer demands, policy gaps, sentiment ≠ complexity
Study error propagation: structured context vs generic errors
Study local recovery before coordinator escalation, partial results reporting
Practice Test 9 (Context & Reliability — 10 questions)
Rest / review
Advanced Context & Provenance
Exam Prep · Domain 5.4–5.6Study context degradation in extended sessions, scratchpad files
Study /compact, subagent delegation, crash recovery manifests
Study human review: stratified sampling, field-level confidence
Study information provenance: claim-source mappings, temporal data
Study synthesis output: well-established vs contested, source characterizations
Practice Test 10 (Advanced Context — 10 questions)
Rest / review
Integration & Hands-On Exercises
Exam Prep · All DomainsComplete Exercise 1: Multi-Tool Agent with Escalation Logic
Complete Exercise 2: Claude Code Team Workflow Configuration
Complete Exercise 3: Structured Data Extraction Pipeline
Complete Exercise 4: Multi-Agent Research Pipeline
Full Practice Exam 1 (50 questions, all 6 scenarios)
Review all wrong answers, identify weak domains
Rest / review weak areas
Final Exam Prep
Exam Prep · Review & PracticeTargeted review of weakest domain
Targeted review of second weakest domain
Full Practice Exam 2 (50 questions, all 6 scenarios)
Review wrong answers, fill gaps
Full Practice Exam 3 (50 questions, timed)
Light review of key concepts, anti-patterns, and gotchas
Exam day!
Study Tips for Success
Read the Official Exam Guide First
Download Anthropic's exam guide PDF. It contains domain breakdowns and sample questions that closely mirror the actual exam.
Focus on Anti-Patterns
Exam distractors are often anti-patterns. If you can spot what's wrong, you can eliminate 2-3 options immediately.
Build Real Projects
Hands-on experience with the Agent SDK, MCP servers, and Claude Code solidifies conceptual understanding.
Review Wrong Answers Deeply
After each practice test, spend more time reviewing wrong answers than taking the test itself. Understand WHY each answer is wrong.
Use the Anthropic Academy
Anthropic's courses on Skilljar and GitHub cover foundational topics directly tested on the exam.
Understand the 'Why' Not Just the 'What'
The exam tests architectural reasoning. Know why hub-and-spoke beats flat multi-agent, why hooks beat prompts for enforcement, etc.
Recommended Resources
Official Exam Guide (PDF)
Anthropic's complete exam guide with sample questions
Anthropic Academy (Skilljar)
Official training courses for Claude
Anthropic Courses (GitHub)
Open-source educational materials
Claude Documentation
Official API docs, guides, and references
Claude Agent SDK Docs
Agent SDK reference for agentic architectures
Ready to Dive Into the Domains?
Explore each exam domain in detail with key concepts, anti-patterns, and exam tips.