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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Pipeline automation and review 2. Plan mode vs direct execution - Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows
Topic 2: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Task spawning and tool management 2. Session state and context handling - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
Topic 3: Prompt Engineering & Structured Output	20%	- Structured data generation 1. JSON schema enforcement 2. Output validation and reliability - Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing
Topic 4: Context Management & Responsible AI	15%	- Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization - Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation
Topic 5: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic

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Anthropic Claude Certified Architect Foundations (CCA-F) CCA-F Prüfungsfragen mit Lösungen (Q13-Q18):

13. Frage
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You've documented API error handling conventions in a CLAUDE.md file at your project root, specifying that endpoint handlers should use a custom ApiError class. After several sessions, you notice Claude Code sometimes follows these conventions and sometimes uses generic try/catch blocks with string messages. The inconsistency appears random across different coding sessions. What's the most efficient first diagnostic step?

A. Add a more detailed code examples to your CLAUDE.md showing the exact ApiError usage pattern for different endpoint types.
B. Search for conflicting instructions in ~/.claude/CLauDe.md or ~/.claude/rules/ that might override your project conventions.
C. Run /memory to check which memory files are loaded and verify your CLAUDE.md is included.
D. Create path-specific rules in .claude/rules/handlers.md with YAML frontmatter scoping the error handling instructions to your API handler files.

Antwort: C

Begründung:
Before rewriting or reorganizing the instructions, first confirm that Claude Code is actually loading the intended CLAUDE.md. The /memory command lets you inspect the active memory files, making it the fastest way to diagnose inconsistent loading across sessions.

14. Frage
You've configured the system so that all four subagents have access to the complete set of
18 tools. During testing, agents frequently call tools outside their specialization - the synthesis agent attempts web searches, and the report generator tries to analyze documents. What is the primary cause of this poor tool selection behavior?

A. The agents' role descriptions in their system prompts conflict with having access to tools outside that role.
B. Choosing from 18 tools instead of 4-5 relevant ones increases decision complexity beyond reliable selection thresholds.
C. The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
D. The tool definitions consume too much context window space, leaving insufficient room for task content.

Antwort: B

Begründung:
Providing all agents with access to a large set of tools increases the cognitive load for tool selection. When the number of options grows beyond a manageable threshold, agents are more likely to misuse tools outside their specialization, reducing efficiency and accuracy.

15. Frage
Why is configuring the exact same Claude session to review its newly generated pull request code considered an architectural anti-pattern?

A. Tools invoked during the first pass are permanently locked and cannot be reused in the review pass.
B. The Message Batches API does not support synchronous self-review workflows.
C. The reviewer retains the reasoning context and assumptions from the generation phase, creating confirmation bias.
D. It typically exceeds the maximum token limit of the context window during the generation phase.

Antwort: C

Begründung:
Same-session self-review is an anti-pattern because the model retains the context and reasoning from the generation phase, leading to a blind spot or confirmation bias. Independent review instances with fresh contexts are much more effective at objectively evaluating code.

16. Frage
In a multi-agent architecture, what is the best practice for handing off context from a coordinator agent to a specialized subagent?

A. Grant the subagent access to a shared global state database where the coordinator writes its findings.
B. Pass only the explicit context, findings, and parameters specifically relevant to the subagent's assigned subtask.
C. Share the entire coordinator conversation history to guarantee maximum context.
D. The subagent automatically inherits the coordinator's context window.

Antwort: B

Begründung:
Context isolation is a fundamental principle of multi-agent architecture. Subagents do not automatically inherit parent context. Sharing the full coordinator history wastes tokens and introduces noise. You should explicitly pass only the specific, relevant context needed for the subtask.

17. Frage
When executing a complex feature implementation with multiple valid architectural approaches, what is the recommended lifecycle pattern for utilizing Claude Code's operating modes?

A. Use Plan Mode exclusively, letting it automatically write and commit the files without pausing for approval.
B. Run Direct Execution in the background via the Message Batches API, passing the result to Plan Mode.
C. Use Direct Execution to write the code, followed by Plan Mode to review the code and write tests.
D. Combine Plan mode for initial investigation and architecture design, then switch to Direct Execution to implement the agreed-upon plan.

Antwort: D

Begründung:
For complex features, the recommended pattern is combining Plan Mode for safe investigation and approach design, getting developer approval on the strategy, and then transitioning to Direct Execution for the actual implementation of the planned approach.

18. Frage
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