Free Practice Questions for Anthropic Claude Certified Architect – Professional (CCAR-P) Certification
Study with 475 exam-style practice questions designed to help you prepare for the Anthropic Claude Certified Architect – Professional (CCAR-P). All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Key information about Anthropic Claude Certified Architect – Professional (CCAR-P)
- Multiple choice
Free, non-proctored assessment
CCAR-P
Multiple-choice and multiple-response
175
720 out of 1000
Recommended: 3+ years in systems architecture/platform engineering, 6+ months hands-on with Claude/LLMs in production, software engineering best practices.
Online proctored or test center
Mid- to senior-level solution architects, AI/ML engineers, technical leads, senior software engineers.
120
63
12
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Domain 1: Solution Design & Architecture
Subdomain 1.1: Translate business problems into Claude-based AI solutions
Translate business problems into Claude-based AI solutions
Subdomain 1.2: Design end-to-end architectures
Design end-to-end architectures (input → processing → output → feedback loops)
Subdomain 1.3: Select appropriate architectural patterns
Select appropriate architectural patterns (workflow, agentic, augmented LLM)
Subdomain 1.4: Design multi-agent systems and orchestration strategies
Design multi-agent systems and orchestration strategies
Subdomain 1.5: Apply decomposition techniques for complex problem solving
Apply decomposition techniques for complex problem solving
Subdomain 1.6: Align solutions to business value pillars
Align solutions to business value pillars (efficiency, transformation, productivity, cost, performance SLAs)
Domain 2: Claude Models, Prompting & Context Engineering
Subdomain 2.1: Select appropriate Claude models based on trade-offs
Select appropriate Claude models based on trade-offs
Subdomain 2.2: Design system prompts, templates, and guardrails
Design system prompts, templates, and guardrails
Subdomain 2.3: Apply prompt engineering techniques
Apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought)
Subdomain 2.4: Optimize context windows and manage token usage
Optimize context windows and manage token usage
Subdomain 2.5: Implement prompt reuse strategies
Implement prompt reuse strategies (caching, modular prompts, Skills)
Domain 3: Integration
Subdomain 3.1: Evaluate tool/agent configuration for capability bloat
Evaluate tool/agent configuration for capability bloat
Subdomain 3.2: Analyze authentication and authorization requirements to identify security gaps
Analyze authentication and authorization requirements to identify security gaps
Subdomain 3.3: Evaluate accuracy-latency trade-offs and justify configuration decisions
Evaluate accuracy-latency trade-offs and justify configuration decisions
Subdomain 3.4: Analyze observability challenges and select monitoring strategies at scale
Analyze observability challenges and select monitoring strategies at scale
Subdomain 3.5: Design a RAG pipeline with appropriate chunking and indexing strategies
Design a RAG pipeline with appropriate chunking and indexing strategies
Subdomain 3.6: Apply retrieval strategies matched to data shape and query pattern
Apply retrieval strategies matched to data shape and query pattern
Subdomain 3.7: Evaluate connection protocols and select the appropriate integration mechanism
Evaluate connection protocols and select the appropriate integration mechanism (MCP, API/CLI, agent-to-agent)
Subdomain 3.8: Evaluate progressive discovery vs. monolithic context strategy
Evaluate progressive discovery vs. monolithic context strategy
Domain 4: Evaluation, Testing & Optimization
Subdomain 4.1: Define evaluation metrics
Define evaluation metrics (accuracy, latency, cost, safety, security)
Subdomain 4.2: Design evaluation datasets and test frameworks using mixed methodologies
Design evaluation datasets and test frameworks using mixed methodologies
Subdomain 4.3: Conduct A/B testing and iterative improvements
Conduct A/B testing and iterative improvements
Subdomain 4.4: Diagnose system issues
Diagnose system issues (prompt failure, hallucinations, model mismatch)
Subdomain 4.5: Optimize token usage, latency, and cost-performance trade-offs
Optimize token usage, latency, and cost-performance trade-offs
Subdomain 4.6: Monitor system performance using logging and observability tools
Monitor system performance using logging and observability tools
Domain 5: Governance, Safety & Risk Management
Subdomain 5.1: Implement guardrails and safety controls
Implement guardrails and safety controls
Subdomain 5.2: Identify risks, limitations, and failure modes of LLM systems
Identify risks, limitations, and failure modes of LLM systems
Subdomain 5.3: Apply human-in-the-loop validation strategies
Apply human-in-the-loop validation strategies
Subdomain 5.4: Ensure compliance with regulations
Ensure compliance with regulations (e.g., GDPR, HIPAA, FedRAMP)
Subdomain 5.5: Address ethical AI considerations
Address ethical AI considerations (bias, fairness, transparency)
Domain 6: Stakeholder Communication & Lifecycle Management
Subdomain 6.1: Conduct structured discovery and requirement gathering
Conduct structured discovery and requirement gathering
Subdomain 6.2: Communicate architectural decisions and trade-offs
Communicate architectural decisions and trade-offs
Subdomain 6.3: Manage stakeholder feedback loops and expectation alignment
Manage stakeholder feedback loops and expectation alignment (including SLAs)
Subdomain 6.4: Document architectures and provide implementation guidance
Document architectures and provide implementation guidance
Subdomain 6.5: Support lifecycle phases
Support lifecycle phases (discovery, design, handoff, monitoring, iteration)
Domain 7: Developer Productivity & Operational Enablement
Subdomain 7.1: Configure Claude tools and environments for teams
Configure Claude tools and environments for teams (e.g., Claude Code)
Subdomain 7.2: Improve developer workflows using AI-assisted tooling
Improve developer workflows using AI-assisted tooling
Subdomain 7.3: Support debugging and operational issue resolution
Support debugging and operational issue resolution
Techniques & products