Anthropic CCA-F Fragen und Antworten, Claude Certified Architect Foundations (CCA-F) Prüfungsfragen

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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. Plan mode vs execution mode 2. CI/CD and workflow integration
Topic 2: Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Schema-guided outputs 2. Prompt patterns for agents
Topic 3: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. MCP client/server integration patterns 2. Tool schema design
Topic 4: Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Topic 5: 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. Hub-and-spoke agent systems 2. Task decomposition strategies

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Anthropic Claude Certified Architect Foundations (CCA-F) CCA-F Prüfungsfragen mit Lösungen (Q98-Q103):

98. Frage
A healthcare company processes long clinical reports. Some exceed Claude's practical context requirements. What is the BEST architectural approach?

A. Chunk documents before processing.
B. Randomly remove paragraphs.
C. Increase temperature.
D. Ignore the excess text.

Antwort: A

Begründung:
Chunking divides large documents into manageable sections while preserving important information. Individual chunks can be summarized or indexed before aggregation, allowing Claude to process lengthy documents efficiently without losing essential context.

99. Frage
After 30+ turns, your conversational assistant shows noticeably slower responses and occasionally produces less coherent outputs. Investigation reveals: (1) average conversations reach 50,000 tokens by turn 35, (2) production logs show 94% of user messages only reference the previous 3-5 exchanges, (3) the 6% of queries referencing earlier context typically ask about information the user could easily re-state. Your goal is to improve response speed and quality while maintaining good user experience. What's the most effective approach?

A. Enable prompt caching and continue sending the complete conversation history, using cached prefixes to reduce per-request costs while preserving all context.
B. Implement a sliding window keeping only the system prompt and last 8-10 turns. When users reference earlier context, acknowledge the limitation and ask them to re-state the relevant information.
C. Build a retrieval system that stores all conversation turns and uses semantic search to pull in relevant historical context only when the current query appears to reference past information.
D. Implement a summarization layer that progressively compresses older conversation turns into a running summary while keeping the most recent 5-6 turns verbatim, maintaining full historical context in condensed form.

Antwort: D

Begründung:
Progressively summarizing older conversation turns condenses historical context while keeping recent interactions verbatim, reducing token load and maintaining coherence. This approach balances response speed, memory efficiency, and user experience by preserving essential context without requiring users to repeatedly provide information.

100. Frage
How does a coordinator agent most efficiently execute multiple subagents in parallel to accelerate a research pipeline?

A. By invoking the fork_session command across different isolated branches sequentially.
B. By setting tool _choice: 'any" alongside parallel threading parameters.
C. By emitting multiple Task tool calls within a single coordinator response.
D. By calling the parallel_execute method natively provided in the Claude Agent SDK.

Antwort: C

Begründung:
Spawning parallel subagents is effectively accomplished by emitting multiple Task tool calls in a single coordinator response rather than across separate turns. This allows the system to process the corresponding subtasks simultaneously.

101. Frage
Your MCP server includes archive_file(file_id) and delete_file(file_id) tools. Production logs show the agent calls delete_file when users ask to "remove old backups," but company policy requires archiving backup files. Both tools currently have minimal descriptions: "Archives a file" and
"Deletes a file." Which change most directly improves tool selection for this scenario?

A. Add a confirmation step that requires users to type "CONFIRM DELETE" before delete_file executes.
B. Expand tool descriptions to clarify use cases, adding guidance like "Do not use for backup files" to delete_file.
C. Add few-shot examples to the system prompt demonstrating that requests involving "backup" or
"old" should use archive_file.
D. Implement server-side validation that rejects delete_file calls for files tagged as backups, returning an error message suggesting archive_file.

Antwort: B

Begründung:
Clear tool descriptions directly guide the agent's choice between similar tools. Adding use-case guidance that backup files should not be deleted and should be archived helps the agent map
"remove old backups" to the correct archive operation before execution.

102. Frage
In an extended codebase exploration session, Claude begins returning inconsistent answers and forgetting specific classes discovered earlier. Which combination of features best addresses this context degradation?

A. Relying entirely on the Message Batches API for asynchronous context processing.
B. Utilizing / clear and increasing the temperature parameter to 1.0.
C. Spawning parallel subagents without providing them explicit context.
D. Using scratchpad files to persist key findings and using the /compact command to reduce context usage.

Antwort: D

Begründung:
Scratchpad files are used to persist key findings across context boundaries, while the [compact command compresses conversation history to reduce context usage during extended exploration sessions.

103. Frage
......

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