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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool schema design 2. MCP client/server integration patterns
Topic 2: Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. Plan mode vs execution mode 2. CI/CD and workflow integration
Topic 3: Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Prompt patterns for agents 2. Schema-guided outputs
Topic 4: Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Topic 5: Agentic Architecture & Orchestration	27%	- System orchestration patterns 1. Hub-and-spoke agent systems 2. Task decomposition strategies - Agentic loop design and execution lifecycle 1. Tool use decision flow (tool_use vs end_turn) 2. Multi-agent coordination and delegation patterns

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q69-Q74):

NEW QUESTION # 69
An enterprise wants Claude responses to remain professional across every interaction. Where should tone instructions primarily reside?

A. API key description
B. System prompt
C. Retrieved documents
D. User prompt only

Answer: B

Explanation:
Persistent behavioral guidance belongs in the system prompt. Defining tone centrally ensures consistent communication across conversations regardless of varying user inputs or retrieved knowledge.

NEW QUESTION # 70
In production, final reports frequently contain claims without proper source attribution.
Investigation shows that while the web search and document analysis agents correctly attach citations to their outputs, the synthesis agent loses track of which sources support which conclusions when combining findings. What's the most effective architectural change?

A. Have the coordinator inject source identifier prefixes into text before each handoff, then parse these prefixes at report generation to reconstruct citations.
B. Add a verification step where the report generator uses semantic similarity matching against original sources to reconstruct which claims came from which documents.
C. Maintain complete transcripts of all subagent interactions and add a citation-resolution agent to analyze logs and determine attributions before report generation.
D. Require all subagents to output structured claim-source mappings that the synthesis agent must preserve and merge when combining findings from multiple sources.

Answer: D

Explanation:
Structured claim-to-source mappings ensure that the synthesis agent can merge findings without losing attribution. By preserving these explicit links through the workflow, the final report can include accurate citations for all claims, maintaining reliability and traceability.

NEW QUESTION # 71
Which of the following scenarios represent architecturally appropriate use cases for implementing hooks in a production Claude application? Choose 2 correct answers.

A. Intercepting tool calls to deterministically block policy-violating actions before they execute.
B. Normalizing tool outputs, such as date formats or status codes, before they are appended to the context window.
C. Guaranteeing that an extracted JSON object has no semantic reasoning errors.
D. Ensuring Claude maintains a conversational and friendly tone with customers.

Answer: A,B

Explanation:
Hooks are designed for programmatic, deterministic intervention during the tool lifecycle. Valid uses include PostToolUse hooks for normalizing data and PreToolUse hooks for blocking policy-violating actions. Hooks do not guarantee semantic accuracy and are not used for soft preferences like conversational tone, which are better handled via prompts.

NEW QUESTION # 72
When designing the role of the coordinator agent in a multi-agent system, which of the following practices are recommended? Choose 2 correct answers.

A. Forcing all queries through a flat architecture pipeline to maximize cross-agent state sharing.
B. Decomposing broad research topics into overly narrow subtasks to save context tokens at the risk of coverage gaps.
C. Analyzing query requirements and dynamically selecting which subagents to invoke rather than always routing through the full pipeline.
D. Routing all inter-subagent communication through the coordinator to maintain observability and consistent error handling.

Answer: C,D

Explanation:
In a hub-and-spoke architecture, the coordinator routes all inter-subagent communication to maintain observability, consistent error handling, and controlled information flow. It should also dynamically select which subagents to invoke based on query complexity. Overly narrow decomposition and flat architectures are anti-patterns.

NEW QUESTION # 73
In a Continuous Integration (CI) pipeline, you run a script where a single Claude session generates a block of code and then immediately reviews its own changes in the same session. Why is this considered an architectural anti-pattern?

A. The reviewer retains the reasoning context from the code generation phase, creating confirmation bias and reducing the likelihood of catching subtle issues.
B. Same-session reviews trigger rate limiting automatically, breaking the CI/CD pipeline.
C. It exceeds the maximum token limit for the context window, causing the session to silently truncate the generated code.
D. The Message Batches API does not support multi-turn tool calling within a single request.

Answer: A

Explanation:
Same-session self-review is an anti-pattern because the model retains its original reasoning context, creating a blind spot. Independent review instances without prior reasoning context are much more effective at objectively evaluating code.

NEW QUESTION # 74
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