Claude Certified Architect - Professional study materials
Claude Certified Architect - Professional study resources

Claude Certified Architect - Professional case studies

Claude Certified Architect - Professional · Put your knowledge to work in context.

The Claude Certified Architect – Professional (CCA-P) is a vendor-style credential aimed at engineers and solution architects who design production systems on top of Claude. It tests judgment rather than recall: whether you can pick the right model tier for a workload, structure prompts and context windows that stay reliable at scale, and orchestrate tool use and multi-step agents without runaway loops or silent failures. The Claude Certified Architect - Professional case studies are 5 cases and about 3,290 words.

1

The Support Triage Agent That Agrees With Everyone

You run a support triage agent on Claude. Tickets arrive via webhook; the agent reads the ticket, classifies severity (P1-P4), and for P1s drafts an escalation note to the on-call engineer.

590 words, about 3 min
2

The Retrieval System That Cites Beautifully and Answers Wrong

A legal-research assistant answers questions over a 400,000-document contract corpus. Pipeline: chunk at 512 tokens with 50-token overlap, embed with a general-purpose text embedding model, retrieve top-8 by cosine similarity, and pass chunks to Claude with the instruction "answer using the provided context." Offline eval on 150 hand-written questions shows 88% answer accuracy.

665 words, about 3 min
3

The Agent That Loops on a Flaky Tool

You built an agent that reconciles invoices. It has tools: fetch invoice , fetch purchase order , match line items , post adjustment , and notify ap team .

724 words, about 4 min
4

The Classification Eval That Can't Tell Good From Lucky

You are shipping a model that classifies customer messages into 12 policy-violation categories (some rare: category 11 appears in 0.3% of traffic). Your eval set is 300 examples, labeled by one contractor.

604 words, about 3 min
5

The Cost Cut That Broke the Workflow

A document-processing pipeline runs 2 million pages/month. Each page: OCR text (~1,500 tokens) → Claude extracts 8 structured fields → downstream system ingests.

707 words, about 4 min