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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Validation and retry loops 2. Tool-use driven reasoning patterns
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool selection and routing strategies 2. MCP server integration patterns - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas
Context Management & Reliability	15%	- Context window optimization 1. "Lost in the middle" mitigation strategies 2. Managing long conversation degradation - System reliability 1. Error propagation handling 2. Escalation strategies (fail vs retry vs human)
Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Command vs plan mode usage 2. Automated pipeline integration - Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration
Agentic Architecture & Orchestration	27%	- Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step) - Multi-agent orchestration 1. Coordinator / sub-agent patterns 2. Parallel task decomposition

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q110-Q115):

NEW QUESTION # 110
You must enforce a strict business rule that the agent escalates any refund request exceeding $500. What is the most deterministic method to implement this?

A. Use an Agent SDK hook (e.g., PreToolUse or PostToolUse) to programmatically intercept and block the action.
B. Add a capitalized warning in the system prompt explicitly forbidding high-value refunds.
C. Provide 5 negative few-shot examples showing the agent refusing high-value refunds.
D. Configure tool_choice to 'auto' so the model can dynamically assess the financial risk.

Answer: A

Explanation:
For critical business rules requiring deterministic compliance, programmatic enforcement via Agent SDK hooks is required. Prompt-based instructions (including warnings and few-shot examples) are probabilistic and can occasionally be ignored by the LLM.

NEW QUESTION # 111
When a tool lookup (e.g., get_customer) returns multiple matches, what is the most reliable way for the agent to proceed?

A. Return a structured error and terminate the workflow.
B. Instruct the agent to ask the user for additional identifiers for clarification.
C. Automatically escalate to a human agent.
D. Select the most recently active account using a heuristic.

Answer: B

Explanation:
When multiple matches are found, relying on heuristics to guess the correct user can lead to security and billing risks. The correct reliability decision is to instruct the agent to ask the user for additional clarifying identifiers.

NEW QUESTION # 112
Users report that final reports sometimes lack depth on specific subtopics. Investigation shows that the document analysis agent frequently identifies gaps - for instance, noting "the retrieved sources discuss API authentication but lack details on token refresh patterns" - but under the current strict pipeline, this insight isn't actionable since search has already completed. What's the most effective architectural change?

A. Have the coordinator review analysis output for gap indicators and re-invoke search with gap- informed queries when gaps are detected.
B. Add a research planning agent before the search phase that decomposes topics into specific sub- questions.
C. Have the synthesis agent attach confidence scores to each section and flag areas with insufficient coverage for manual review.
D. Have the analysis agent report specific gaps to the coordinator, which triggers targeted searches and re-invokes analysis until sufficient.

Answer: A

Explanation:
Making the coordinator gap-aware allows it to dynamically re-delegate targeted searches based on analysis feedback. This iterative loop ensures subtopics with insufficient coverage are addressed before synthesis, improving the depth and completeness of final reports.

NEW QUESTION # 113
When orchestrating complex workflows, you must decide between prompt chaining (fixed sequential pipelines) and dynamic adaptive decomposition. In which scenario is dynamic adaptive decomposition the preferred architectural choice?

A. When executing an open-ended investigation task where intermediate discoveries dictate the next required steps.
B. When applying deterministic compliance policies to financial transaction requests.
C. When conducting predictable, multi-aspect code reviews where the sequence of analysis is static.
D. When extracting structured JSON data from standardized invoice templates.

Answer: A

Explanation:
Dynamic adaptive decomposition is ideal for unpredictable, complex tasks where the agent must decide its next steps based on intermediate results (e.g., open-ended investigations). Prompt chaining is better suited for predictable, linear workflows with a static sequence of steps.

NEW QUESTION # 114
You want to ensure specific testing conventions are automatically applied whenever Claude generates or edits a test file (e.g., *. test. tsx). These test files are spread across dozens of different subdirectories. What is the most maintainable configuration approach?

A. Place a separate CLAUDE .md file in every single subdirectory that contains test files.
B. Consolidate all testing conventions in the root CLAUDE. md file under a general testing header and rely on semantic inference.
C. Create a custom slash command that manually injects testing rules when invoked during a session.
D. Create a rule file in . claude/rules/ with YAML frontmatter specifying paths: test .tsx"].

Answer: D

Explanation:
Using .claude/rules/ files with YAML frontmatter paths fields containing glob patterns (like *P.test.tsx) is the recommended approach for conditional rule activation across scattered files. This ensures rules load only when editing matching files, saving context window tokens and eliminating the need to duplicate CLAUDE.md files in every directory.

NEW QUESTION # 115
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