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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Prompt patterns for agents 2. Schema-guided outputs
Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. CI/CD and workflow integration 2. Plan mode vs execution mode
Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Agentic Architecture & Orchestration	27%	- Agentic loop design and execution lifecycle 1. Tool use decision flow (tool_use vs end_turn) 2. Multi-agent coordination and delegation patterns - System orchestration patterns 1. Task decomposition strategies 2. Hub-and-spoke agent systems
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool schema design 2. MCP client/server integration patterns

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q10-Q15):

NEW QUESTION # 10
Your order management system requires tools for three distinct operations: issuing refunds (requires amount and reason), canceling orders (requires reason), and requesting reshipments (requires shipping address). Each operation shares an order_id parameter but has different additional requirements. You notice during testing that with your current unified tool design, the agent frequently omits required parameters or includes irrelevant ones. What design change will most effectively improve parameter accuracy?

A. Split into three separate tools (issue_refund, cancel_order, request_reshipment), each defining only the parameters required for that specific operation.
B. Keep one unified tool with all parameters marked optional, but add detailed few-shot examples in the system prompt showing correct parameter combinations for each operation type.
C. Keep one unified tool with a nested operation_details object parameter whose internal structure varies by operation type, documented in the tool description.
D. Keep one unified tool but add JSON Schema if-then-else conditionals to enforce that parameters like amount are required only when the operation type is "refund".

Answer: A

Explanation:
Separate tools with operation-specific schemas make the required parameters clear and reduce ambiguity during tool selection. This improves parameter accuracy because each tool exposes only the fields needed for that exact action, such as refund amount and reason, cancellation reason, or reshipment address.

NEW QUESTION # 11
Which of the following statements correctly describe the behavior of session management commands in Claude Code? Choose 2 correct answers.

A. Option B
B. Option D
C. Option A
D. Option C

Answer: B,C

Explanation:

NEW QUESTION # 12
Which of the following statements represent correct principles of tool distribution and interface design? Choose 2 correct answers.

A. Setting tool_choice: "auto" forces Claude to always execute at least one tool.
B. Increasing the total number of tools given to a single coordinator agent inherently improves its decision-making accuracy.
C. Grouping related tools and assigning them to specialized subagents improves tool selection reliability.
D. Providing detailed input formats, edge cases, and boundaries in tool descriptions prevents the model from misrouting requests between similar tools.

Answer: C,D

Explanation:
Proper tool distribution involves keeping tool counts low per agent by delegating to specialized subagents, and using highly detailed tool descriptions to define boundaries and prevent misrouting. Providing too many tools degrades accuracy, and tool_choice: "auto" allows the model to optionally bypass tools entirely.

NEW QUESTION # 13
An automated data extraction pipeline reports 96% aggregate accuracy, but downstream users complain about frequent errors on unstructured contracts. What is the most likely cause of this discrepancy?

A. The model's temperature parameter is set too low for contract analysis.
B. The pipeline lacks a PostToolUse hook for error catching.
C. Aggregate accuracy metrics are masking poor performance on specific document types (e.g., contracts vs receipts).
D. The system is experiencing the 'lost in the middle' effect.

Answer: C

Explanation:
Aggregate accuracy metrics can mask severe per-document-type failures. If standard receipts perform at 99% accuracy but complex contracts perform at 70%, the aggregate may still look high. Teams must track accuracy by document type (stratified metrics) to identify hidden failures.

NEW QUESTION # 14
Which of the following statements accurately describe the functionality and benefits of using the . claude/rules/ directory for configuration? Choose 2 correct answers.

A. It replaces the need for Model Context Protocol (MCP) servers when fetching dynamic API schemas from backend services.
B. It supports YAML frontmatter paths fields containing glob patterns for targeted, conditional rule activation.
C. Rules placed here automatically override personal user-level N/. claude/CLAUDE .md configurations globally across all projects.
D. It allows for organizing topic-specific rule files as a modular alternative to a monolithic CLAUDE .md file.

Answer: B,D

Explanation:
The .claude/rules/ directory is utilized to organize topic-specific conventions as a cleaner alternative to a monolithic CLAUDE.md file. Furthermore, files in this directory support YAML frontmatter with 'paths' glob patterns, allowing rules to activate conditionally only when relevant files are being edited, thus saving context token space.

NEW QUESTION # 15
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