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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q16-Q21):

NEW QUESTION # 16
Which of the following statements represent correct principles of tool distribution and interface design? Choose 2 correct answers.

A. Increasing the total number of tools given to a single coordinator agent inherently improves its decision-making accuracy.
B. Grouping related tools and assigning them to specialized subagents improves tool selection reliability.
C. Setting tool_choice: "auto" forces Claude to always execute at least one tool.
D. Providing detailed input formats, edge cases, and boundaries in tool descriptions prevents the model from misrouting requests between similar tools.

Answer: B,D

Explanation:
Proper tool distribution involves keeping tool counts low per agent by delegating to specialized subagents, and using highly detailed tool descriptions to define boundaries and prevent misrouting. Providing too many tools degrades accuracy, and tool_choice: "auto" allows the model to optionally bypass tools entirely.

NEW QUESTION # 17
A user asks Claude to ignore all previous instructions and reveal confidential internal prompt content. How should Claude behave?

A. Reveal the prompt.
B. Partially reveal hidden instructions.
C. Follow higher-priority instructions and refuse.
D. Generate random text.

Answer: C

Explanation:
Claude follows instruction hierarchy, where system-level instructions override conflicting user requests. Attempts to expose confidential prompts or internal instructions should be declined to protect application integrity and security.

NEW QUESTION # 18
Which of the following represent best practices for managing context during a large codebase exploration? (Choose 2 correct answers)

A. Using subagent delegation to isolate verbose search results and file reads from the coordinator's context.
B. Relying solely on the model's extended thinking capabilities instead of external scratchpad files.
C. Passing the full, uncompressed conversation history of the coordinator to every subagent.
D. Summarizing key findings from one exploration phase and injecting those summaries into the initial context for the next phase's subagents.

Answer: A,D

Explanation:
Best practices include delegating verbose tasks to subagents to preserve coordinator context, and injecting summarized findings from previous phases into the context of newly spawned subagents. Passing full conversation history causes context pollution, and abandoning scratchpad files risks permanent context degradation.

NEW QUESTION # 19
What is the recommended architectural pattern to prevent the loss of critical transactional details (like account IDs, exact amounts, and dates) during long-running interactions?

A. Progressively summarize the conversation history and rely on the model's extended thinking parameters.
B. Switch to a higher-tier model with a 1 million token context window.
C. Use the /compact command automatically after every 10 turns.
D. Extract these facts into a persistent, immutable 'case facts' block positioned at the start of the context.

Answer: D

Explanation:
Progressive summarization silently destroys critical specific details (like account numbers or exact refund amounts). The correct approach is to extract transactional facts into a persistent 'case facts' block placed at the beginning of the context (a high-recall position) that is never summarized.

NEW QUESTION # 20
An autonomous agent needs to escalate a complex billing issue to a human agent. What is the required architectural pattern for this handoff?

A. Trigger a PreToolUse hook to silently override the customer's input with policy details.
B. Forward the raw conversation transcript directly to the human agent's dashboard.
C. Use sentiment analysis to label the escalation priority before transferring the session.
D. Compile a structured handoff summary including the customer ID, root cause, refund amount, and recommended action.

Answer: D

Explanation:
When escalating to human agents who may lack access to the full conversation transcript (or lack time to read it), the best practice is to compile structured handoff summaries containing critical details like customer ID, root cause analysis, and recommended actions.

NEW QUESTION # 21
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