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Free Claude Certified Architect Professional (CCAR-P) Sample Questions

Not sure you are ready for the Claude Certified Architect - Professional exam? Try the three sample questions below, then take the free, timed 25-question diagnostic. It samples all seven domains at Anthropic's official blueprint weights and runs at the real exam's pace, just under 2 minutes a question.

By PrepClubs Editorial Team, updated September 26, 2026

Questions
63
Time Limit
120 min
Difficulty
High
Access
30 days
Full access
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What the free CCAR-P diagnostic includes

Twenty-five original questions in 48 minutes, drawn from the same bank as the ten full exams. Integration gets the largest share because it is the heaviest domain on the real exam, and every other domain appears at its published weight.

You see your score and a domain-by-domain breakdown the moment you finish, the same shape as Anthropic's own score report. That tells you which two domains to study first.

All seven domains
Solution Design and Architecture, Models, Prompting and Context Engineering, Integration, Evaluation, Testing and Optimization, Governance, Safety and Risk Management, Stakeholder Communication and Lifecycle Management, Developer Productivity and Operational Enablement.
The exam's question shapes
Enterprise scenarios with one deciding constraint, and Select TWO items that say how many to pick.
Written from Anthropic's exam guide and docs
Original PrepClubs questions built from the official objectives and documentation. Not real exam items and not dumps.
Instant domain breakdown
Percent correct by domain, so your study time goes where the points are.
Money-back Guarantee* on the full bank
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Three free CCAR-P sample questions

These three are original items held back from every paid exam. Pick an answer, then read why each option is right or wrong.

Sample 1: Integration
A hardware vendor's support assistant retrieves from 40,000 troubleshooting articles using embedding search. Each article is short and self-contained. Error codes such as ERR-4471 appear only inside the article prose, not in any metadata field. Users type mixed queries like "why does ERR-4471 appear after a firmware update". Conceptual questions retrieve well. For code-bearing queries, however, logs show the correct article is absent even from the top 150 embedding candidates. What change should the team make to retrieval?
  • A.Route queries to an exact-match lookup on an indexed error code field
  • B.Prepend Claude-generated situating context to each chunk before embedding
  • C.Add a reranking model to rescore the top embedding candidates
  • D.Add BM25 lexical search alongside embeddings and merge the ranked lists
Answer and walkthrough
D. Embeddings capture meaning but handle rare exact tokens like error codes poorly. That is why the correct article never reaches the candidate set for code-bearing queries. BM25 matches the literal token ERR-4471 inside the prose, and fusing its ranked list with the embedding results keeps the semantic recall that already works for the conceptual part of mixed queries. The deciding details are that the codes live only in free text and that queries combine a code with a natural-language question. Why the others are wrong: An exact-match lookup would win if the codes were stored in a structured field and queries were pure identifiers, but here no such field exists and the queries also carry conceptual intent. Contextual chunk prefixes help when chunks lose meaning once separated from their source document, but these articles are already short and self-contained, and the failure is exact-token matching, not missing context. A reranker helps when the right article is in the candidate pool but ranked too low, yet here it is missing from the top 150 candidates, so there is nothing for the reranker to promote. Source: CCAR-P exam guide, Domain 3.
Sample 2: Claude Models, Prompting & Context Engineering
An online marketplace uses Claude to write product descriptions, answer seller questions about listing rules, and summarize buyer reviews. Sellers expect near-instant responses, and request volume is very high. The team ran a pilot on a representative evaluation set covering all three tasks, including the trickiest listing-rule questions. The fastest, lowest-cost tier met the quality bar on every task, scoring within noise of the larger tiers. Which model selection best fits this workload?
  • A.Route all three tasks to the balanced mid-tier model
  • B.Use the mid-tier model by default and escalate hard cases to the top tier
  • C.Use the top tier for listing-rule questions and the fastest tier elsewhere
  • D.Route all three tasks to the fastest, lowest-cost tier
Answer and walkthrough
D. Model selection should use the smallest model that meets the quality bar. Larger tiers only earn their extra latency and cost when evaluations show a capability gap. Here the pilot showed the fastest tier matching larger tiers on every task, including the hardest rule questions. Sellers also need near-instant responses at very high volume, so the fastest, lowest-cost tier is the right choice. Why the others are wrong: The mid-tier model everywhere would be the right default if the pilot had shown the fastest tier falling short, but here it adds latency and cost with no measured quality gain. A mid-tier default with escalation suits workloads with a measurable tail of hard cases, but the evaluation found no cases where larger tiers outperformed the fastest tier. Sending listing-rule questions to the top tier would make sense if those questions needed deeper reasoning, but the pilot showed the fastest tier already handles even the trickiest ones at the quality bar. Source: Claude docs: Choosing the right model.
Sample 3: Governance, Safety & Risk Management
An automotive supplier's engineering team shares one Claude API key across every internal tool, from a public parts-lookup chatbot to an assistant that can query unreleased vehicle safety test data. During a compliance review, the security lead finds that a contractor on the chatbot project pushed a commit to a public GitHub repository last night, and the config file in that commit contains the shared key in plain text. The commit is still visible. Which action should the team take first?
  • A.Split the tools into separate workspaces, each with its own scoped API key
  • B.Move the shared key from the config file into a managed secrets vault
  • C.Revoke the shared key now and issue new keys to each tool
  • D.Review the Console usage data for that key to trace unusual requests
Answer and walkthrough
C. The deciding detail is that the key is already exposed in a public commit, so anyone who copied it can call every tool, including the safety-data assistant, until the key stops working. Revoking the key is the only step that immediately cuts off that access. Issuing new keys per tool then restores service and can be combined with tighter scoping afterward. Why the others are wrong: Workspace separation with scoped keys fixes the underlying least-privilege gap and would be the best answer if no leak had occurred, but the leaked key keeps working until it is revoked. A secrets vault is the right fix for keys stored in plain-text config files, but the key is already public, so moving it now does not stop anyone who has copied it. Reviewing usage data is the right step when investigating possible misuse, but it only reports on the exposure while the leaked key remains live. Source: CCAR-P exam guide, Domain 5.

What the real CCAR-P exam is like

The exam has 63 items in 120 minutes, proctored by Pearson VUE online or at a test center. Items are multiple choice or multiple response, and each multiple-response item states how many options to select. You pass with a scaled score of 720 on a 100 to 1,000 scale; the report also shows your percent correct in each domain.

The questions test senior judgment. Most describe an enterprise situation, a constraint and sometimes a failure, then ask for the best design, the first thing to investigate, the right control or the right way to take a decision to stakeholders.

Integration (19 percent), Solution Design and Architecture (17 percent) and Evaluation, Testing and Optimization (16 percent) make up just over half of the exam.

CCAR-P practice FAQs

Find your weakest CCAR-P domain in 25 questions.

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