claudio.cool
CCAR-P

Claude Certified Architect (Professional)

Who it is for: Architects with 3+ years in systems or platform architecture.

63 questions · 120 minutes

27 lessons · 7 domains

Take a practice exam
How do I take the exam?
  1. Your company must be part of the Claude Partner Network. Joining is free.
  2. On the Anthropic Partner Academy, open the certification page, read the guide and the terms, and register. The list price is USD 175; checkout shows the final price, with any discount for your company's partner tier.
  3. After confirming, create your Pearson VUE account and pick a date: online proctored or at a Pearson test centre.
  4. You can cancel or reschedule up to 24 hours before. After that, the fee is forfeited.
  5. The credential lasts 12 months. Renewing on time is free: a short, non-proctored assessment on what has changed.
Go to the Anthropic Partner Academy ↗

Domains

Solution Design & Architecture 17%

  1. Workflow, agent or augmented LLM, the problem picks the pattern
  2. From "we want an agent" to the real problem
  3. Input, processing, output and feedback, what goes in code and what goes to the model
  4. Decompose and orchestrate, chaining, map-reduce and well-delegated subagents
Practice exam →

Claude Models, Prompting & Context Engineering 13%

  1. Choose the model with evidence, not by size
  2. System prompts and templates that scale, sections, boundaries with their reason and untrusted content kept apart
  3. Zero-shot, few-shot or step-by-step reasoning, which to use depending on where it fails
  4. Context as a budget, prompt caching, modular prompts and Skills
Practice exam →

Integration 19%

  1. Least privilege and authorization, removing capabilities beats watching them
  2. MCP, API/CLI or agent-to-agent, choosing the connection mechanism
  3. RAG pipeline, chunking by structure, contextual retrieval and version metadata
  4. Retrieval matched to the shape of the data, and accuracy versus latency
  5. Progressive tool discovery and agent observability at scale
Practice exam →

Evaluation, Testing & Optimisation 16%

  1. What to measure and with which data, success criteria and mixed methods
  2. Comparing versions without fooling yourself, offline baseline, A/B tests and guardrail metrics
  3. Diagnosing failures, prompt, hallucination, retrieval or model mismatch
  4. Optimizing cost and latency and monitoring quality, not just uptime
Practice exam →

Governance, Safety & Risk Management 14%

  1. Layered guardrails, the prompt is the first barrier and not the only one
  2. LLM failure modes, calculations, non-determinism, hallucination and the audit trail
  3. Human in the loop by risk, and how to avoid automation bias
  4. Regulation and fairness, where you deploy and how bias is measured
Practice exam →

Stakeholder Communication & Lifecycle Management 14%

  1. Discovery and clashing requirements, who to bring in, what to write and who decides
  2. Expectations and SLAs, no 100%, targets against the baseline and latency by percentile
  3. Documenting to operate, runbook, ADRs and a reference implementation
  4. Handoff is not the end, an owner, scheduled evaluations and thresholds that trigger iteration
Practice exam →

Developer Productivity & Operational Enablement 7%

  1. Claude Code for a team, what is shared, what is imposed and what is enforced
  2. AI-assisted development workflows and incidents, plan before implementing, reproducible CI and rate limits
Practice exam →