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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q32-Q37):

NEW QUESTION # 32
When two subagents at quicktechie.com provide conflicting statistical data from different credible sources during a synthesis task, what is the architecturally correct pattern for handling this uncertainty?

A. Silently average the conflicting numerical values to provide a balanced estimate to the user.
B. Preserve both values and explicitly annotate the conflict with source attribution, letting the coordinator or user reconcile it.
C. Drop the contested data point entirely to ensure the final report only contains unified facts.
D. Arbitrarily select the value from the most recently updated source to resolve the conflict smoothly.

Answer: B

Explanation:
When handling conflicting statistics from credible sources, the correct architectural pattern is to annotate the conflicts with explicit source attribution and methodological context rather than arbitrarily selecting one value or silently averaging them. This preserves information provenance for informed downstream resolution.

NEW QUESTION # 33
Which prompt strategy is most effective at reducing false positives in an automated code review system?

A. Use a temperature of 0.0 to ensure deterministic outputs.
B. Ask the model to "find all code issues" to ensure nothing is missed.
C. Instruct the model to only report high-confidence findings.
D. Provide explicit, measurable criteria like "flag functions exceeding 50 lines".

Answer: D

Explanation:
Explicit, measurable criteria enable automated validation of output quality, reduce ambiguity, and narrow the scope, directly reducing false positives. Asking for "all code issues" is too vague, and self-reported confidence is unreliable.

NEW QUESTION # 34
Production logs indicate that Claude is frequently misrouting requests to an analyze_content tool when the analyze_document tool should have been selected. Both tools currently have simple, one-sentence descriptions. What is the most effective architectural fix?

A. Use a PreToolUse hook to programmatically redirect analyze_content calls to analyze_document.
B. Rename the tools to eliminate functional overlap and expand descriptions to explicitly state boundaries explaining when to use each.
C. Provide negative few-shot examples in the system prompt instructing Claude not to confuse the two tools.
D. Increase the model's temperature parameter to encourage more diverse tool selection.

Answer: B

Explanation:
Tool descriptions are the primary mechanism models use for selection. Ambiguous or overlapping descriptions (like analyze_content vs analyze_document) cause misrouting. The architectural solution is to rename tools clearly and expand descriptions to define explicit boundaries and edge cases explaining when to use one versus the other.

NEW QUESTION # 35
A legal department requires Claude to answer only when sufficient evidence exists in retrieved documents. What should Claude do if evidence is insufficient?

A. Invent a likely answer.
B. Increase creativity.
C. Clearly indicate insufficient information.
D. Search social media automatically.

Answer: C

Explanation:
When reliable supporting evidence is unavailable, Claude should explicitly acknowledge uncertainty rather than speculate. Transparent handling of missing information builds trust and reduces the risk of presenting unsupported legal guidance.

NEW QUESTION # 36
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. Analyzing query requirements and dynamically selecting which subagents to invoke rather than always routing through the full pipeline.
B. Routing all inter-subagent communication through the coordinator to maintain observability and consistent error handling.
C. Forcing all queries through a flat architecture pipeline to maximize cross-agent state sharing.
D. Decomposing broad research topics into overly narrow subtasks to save context tokens at the risk of coverage gaps.

Answer: A,B

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 # 37
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