Anthropic CCA-F Exam & CCA-F Praxisprüfung

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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) CCA-F Prüfungsfragen mit Lösungen (Q45-Q50):

45. Frage
A pull request modifies 14 files across a application. A single-pass automated review produces superficial comments, misses obvious bugs, and provides contradictory feedback. How should the review architecture be redesigned to resolve this?

A. Switch to a model with a larger context window to process all files simultaneously.
B. Require developers to manually split the PR into smaller submissions.
C. Run three independent reviews on the full PR and only flag issues that reach consensus.
D. Split the review into focused passes: analyze each file individually for local issues, followed by a separate integration pass for cross-file data flow.

Antwort: D

Begründung:
Splitting large code reviews into per-file local analysis passes plus a separate cross-file integration pass prevents attention dilution. Large context windows alone do not solve attention quality issues, and forcing consensus across multiple monolithic runs can suppress real bugs.

46. Frage
When designing an autonomous customer support agent, you must explicitly program the conditions under which it stops attempting to solve the problem and escalates to a human. Which of the following are valid, objective escalation triggers? Choose 2 correct answers.

A. The customer expresses high frustration and uses negative sentiment words.
B. The customer explicitly demands to speak with a human representative.
C. The agent assesses its own confidence level to be below 0.6 out of 1.0.
D. The agent detects a policy gap where no existing rule covers the customer's specific situation.

Antwort: B,D

Begründung:
Valid escalation triggers include policy gaps, explicit customer requests for humans, business thresholds being exceeded, and capability limits. Self-reported confidence scores and sentiment analysis are unreliable anti-patterns for escalation decisions.

47. Frage
During a multi-agent synthesis phase, the coordinator receives conflicting financial statistics from a web search subagent and a document analysis subagent. What is the required architectural pattern for handling this conflict?

A. Discard both values and prompt the user to manually input the correct statistic.
B. Arbitrarily select the value from the document subagent, as internal documents are generally more reliable.
C. Average the two conflicting values together to provide a balanced estimate.
D. Maintain structured claim-source mappings to preserve information provenance (source, confidence, timestamp) allowing for an informed resolution.

Antwort: D

Begründung:
When subagents provide conflicting data, the system must track information provenance (source, confidence level, timestamp) through claim-source mappings. This metadata enables informed conflict resolution and audit trails. Arbitrary selection or averaging without tracking provenance are anti-patterns.

48. Frage
When orchestrating complex workflows using the Claude Agent SDK, in which scenario is dynamic adaptive decomposition preferred over fixed sequential prompt chaining?

A. When executing open-ended investigation tasks where intermediate discoveries dictate the next required steps.
B. When executing a daily technical debt audit across a predefined list of target directories.
C. When validating a strictly structured JSON extraction against predefined business rules.
D. When performing predictable, multi-aspect code reviews where the sequence of analysis is entirely static.

Antwort: A

Begründung:
Dynamic adaptive decomposition is the optimal strategy for unpredictable, open-ended tasks (like investigations) where the agent must decide its next steps based on intermediate findings. Prompt chaining (fixed sequential pipelines) is better suited for predictable, linear workflows with static sequences.

49. Frage
Your post_content tool requires user confirmation before publishing. The current workflow displays "Ready to post to social media. Confirm?" and analytics show users approve 98% of requests within 2 seconds. Post-mortems reveal incidents where posts went to wrong accounts, were scheduled for wrong times, or contained errors - all confirmed by users without catching the mistakes. How should you redesign the confirmation workflow?

A. Add a mandatory waiting period before the confirm option becomes available
B. Include the complete post text, target account, scheduled time, and platform in the confirmation request
C. Require users to type a confirmation phrase instead of clicking a button
D. Auto-approve routine posts and only require explicit confirmation for unusual patterns like posting to new accounts or large audiences

Antwort: B

Begründung:
A confirmation step must present the specific action details the user is approving. Showing the full post content, target account, scheduled time, and platform helps users detect errors before execution, making confirmation meaningful rather than a generic approval click.

50. Frage
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