Library / Artificial Intelligence
Claude Certified Architect Professional CCAR-P Mock Exams
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About this course
These practice exams are built for experienced architects preparing for the Claude Certified Architect – Professional (CCAR-P) exam. The goal is simple: give you realistic exam practice, so the real test holds no surprises.
The course contains 4 full-length exams. Each has 63 questions and a 120-minute time limit, the same as the real exam, and the pass mark is set to 72% to match the official 720/1000 passing score. The real exam uses multiple-choice and multiple-response questions. Each question is a short scenario of its own, not part of a longer case study.
Exam 1 is the easiest and is a good first check of where you stand. Exams 2 and 3 are medium difficulty and are built around design, integration and governance decisions in real projects. Exam 4 is written at real exam level, with longer scenarios and answer options that are deliberately close to each other.
Questions are spread according to the official domain weights:
Integration – 19%Solution Design and Architecture – 17%Evaluation, Testing and Optimization – 16%Governance, Safety and Risk Management – 14%Stakeholder Communication and Lifecycle Management – 14%Claude Models, Prompting and Context Engineering – 13%Developer Productivity and Operational Enablement – 7%Every answer option has its own explanation. When you miss a question, you can see exactly why your choice did not fit and what that option is normally used for. All questions are original and follow the objectives in the official exam guide.
The exam tests judgment more than API details: which architecture fits the constraints, where a control belongs, how success is measured, and how to explain trade-offs to stakeholders.
The course is best suited to solution architects, AI/ML engineers and technical leads who design and deliver production LLM systems and want to confirm they are ready before booking the exam.
This course is independent and is not affiliated with or endorsed by Anthropic.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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