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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering & Structured Output	20%	- Instruction design 1. Few-shot prompting strategies 2. Deterministic output formatting (e.g., JSON) - Tool-augmented prompting 1. Tool-use driven reasoning patterns 2. Validation and retry loops
Topic 2: Tool Design & MCP Integration	18%	- Tool interface design 1. Structured tool input/output schemas 2. Clear tool descriptions and boundaries - Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies
Topic 3: Context Management & Reliability	15%	- System reliability 1. Escalation strategies (fail vs retry vs human) 2. Error propagation handling - Context window optimization 1. Managing long conversation degradation 2. "Lost in the middle" mitigation strategies
Topic 4: Claude Code Configuration & Workflows	20%	- Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration - CI/CD and workflow integration 1. Command vs plan mode usage 2. Automated pipeline integration
Topic 5: Agentic Architecture & Orchestration	27%	- Agentic loops & lifecycle design 1. Tool use loop execution (request → tool_use → result → next step) 2. Stop reason handling and control flow - Multi-agent orchestration 1. Coordinator / sub-agent patterns 2. Parallel task decomposition

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q87-Q92):

NEW QUESTION # 87
You are tasked with integrating Claude Code into a Continuous Integration (CI) pipeline to run an automated security analysis on pull requests. Which execution flag must be included to ensure the automated job does not hang indefinitely?

A. Option B
B. Option C
C. Option D
D. Option A

Answer: A

Explanation:
T he -p (or -print) flag is strictly required to run Claude Code in non-interactive mode. It processes the prompt, outputs the result to stdout, and exits without waiting for user input, preventing the CI pipeline from hanging.

NEW QUESTION # 88
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 a daily technical debt audit across a predefined list of target directories.
B. When validating a strictly structured JSON extraction against predefined business rules.
C. When executing open-ended investigation tasks where intermediate discoveries dictate the next required steps.
D. When performing predictable, multi-aspect code reviews where the sequence of analysis is entirely static.

Answer: C

Explanation:
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.

NEW QUESTION # 89
An automated extraction pipeline reports 96% aggregate accuracy, but downstream users complain about frequent errors on complex contracts. What monitoring methodology resolves this visibility gap?

A. Increasing the overall sampling size randomly to capture a broader dataset.
B. Tracking accuracy by specific document type and field (stratified metrics).
C. Switching entirely to the Message Batches API for asynchronous processing.
D. Requiring a 100% human-in-the-loop review for all documents.

Answer: B

Explanation:
Aggregate accuracy metrics can mask severe per-document-type failures (e.g., contracts failing frequently while simple receipts succeed nearly 100% of the time). Tracking accuracy using stratified metrics (per document type and field) reveals these hidden failures.

NEW QUESTION # 90
When implementing a Model Context Protocol (MCP) server, what is the primary architectural purpose of defining an MCP Resource instead of an MCP Tool?

A. To expose data catalogs or static content that can be fetched by the client and injected directly into prompts without requiring the agent to formulate a tool call.
B. To provide reusable conversation templates consisting of predefined user and assistant messages for the agent.
C. To expose executable functions that perform side-effects or mutations on external backend systems.
D. To manage environment variables and authentication secrets safely across the development team.

Answer: A

Explanation:
MCP Resources are used to expose data (like documents, schemas, or issue summaries) that clients can read and inject directly into prompts, bypassing the need for exploratory tool calls. Tools are for taking actions, and Prompts are for reusable conversation templates.

NEW QUESTION # 91
In a hub-and-spoke multi-agent architecture, what is the best practice for passing context from the coordinator agent down to a specialized subagent?

A. Rely on automatic context inheritance, as subagents inherently share the coordinator's memory.
B. Grant the subagent access to a shared global state object where the coordinator writes its findings.
C. Share the entire coordinator conversation history to ensure the subagent has maximum context visibility.
D. Pass only the explicit context, findings, and parameters specifically relevant to that subagent's assigned subtask.

Answer: D

Explanation:
Context isolation is a core principle of multi-agent orchestration. Subagents do not automatically inherit parent context and should not receive the full conversation history, as this causes context pollution and wastes tokens. They should only be passed explicit, relevant context specific to their task.

NEW QUESTION # 92
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