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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering & Structured Output	20%	- Structured data generation 1. Output validation and reliability 2. JSON schema enforcement - Advanced prompting techniques 1. System prompts and role framing 2. Few-shot and chain-of-thought prompting
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. Custom commands and workflows 2. CLAUDE.md and rules system
Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Session state and context handling 2. Task spawning and tool management - Agent design patterns 1. Hub-and-spoke multi-agent systems 2. Agent loops and control flow
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. Tool descriptions and selection logic 2. Error handling and validation
Context Management & Responsible AI	15%	- Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation - Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization

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최신 Claude Certified Architect CCA-F 무료샘플문제 (Q91-Q96):

질문 # 91
Which of the following statements correctly describe best practices for few-shot prompting? Choose 2 correct answers.

A. The examples provided should maintain identical formatting to establish a clear pattern for the model to follow.
B. Few-shot examples are highly effective for demonstrating ambiguous-case handling.
C. Every few-shot example provided should use a completely different output format to show flexibility.
D. Few-shot examples should be avoided when extracting data from documents with highly varied structures.

정답：A,B

설명：
Best practices dictate that few-shot examples should demonstrate ambiguous-case handling and edge cases, and all examples must maintain identical formatting to establish a reliable pattern. Few-shot examples are actually highly recommended for documents with varied structures.

질문 # 92
To allow a coordinator agent to spawn specialized subagents in a multi-agent orchestration setup, which specific configuration must be applied to the coordinator?

A. The subagent must be initialized with an inherit_context: true flag.
B. The coordinator's allowedTools array must explicitly include the Task tool.
C. Configure a PreToolUse hook to automatically manage the spawning process.
D. Set the tool_choice parameter to auto for the coordinator agent.

정답：B

설명：
The Task tool is the designated mechanism for spawning subagents. Critical configuration dictates that the coordinator's allowedTools must explicitly include 'Task' to enable subagent creation.

질문 # 93
When configuring a JSON extraction schema for document categorization where new or unexpected document types might appear, what is the recommended design pattern?

A. Use an open-ended string field with no constraints to maximize flexibility.
B. Use a rigid Enum containing only the currently known document types.
C. Include an other enum value paired with a document_type_detail string field for extensible categorization.
D. Use a PreToolUse hook to intercept and reject unknown document types.

정답：C

설명：
To handle ambiguous or unexpected data during structured extraction, schemas should include an 'other' (or 'unclear') enum value paired with a detail string field. This prevents the model from forcing unexpected data into incorrect predefined categories.

질문 # 94
In an automated CI/CD code review workflow, why is it considered an architectural anti-pattern to have the same Claude session that generated the code also review its own changes?

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

정답：B

설명：
Same-session self-review is ineffective because the model retains its original reasoning context and assumptions in the conversation history, creating a blind spot or confirmation bias. Using an independent review instance with fresh context evaluates the code objectively.

질문 # 95
A customer support agent handles high-ambiguity requests. Which of the following is a valid, architecturally sound trigger for escalating a case to a human agent?

A. The model's self-reported confidence score drops below 0.7.
B. The customer exhibits highly negative sentiment.
C. The agent detects a policy gap not covered by its existing rules.
D. The conversation exceeds 10 turns.

정답：C

설명：
Valid escalation triggers include policy gaps (situation not covered by rules), explicit customer requests for a human, capability limits, and business thresholds. Sentiment and self-reported confidence are unreliable metrics for escalation.

질문 # 96
......

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