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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q66-Q71):

NEW QUESTION # 66
During a long-running customer support session, the agent repeatedly summarizes the conversation history to save context space. By turn 10, the agent forgets the customer's specific account number and the exact promotional price they were quoted. How should you redesign the context management to prevent this?

A. Store the conversation in an external database and run a lexical search query on every turn.
B. Extract transactional facts into an immutable 'case facts' block positioned at the start of the context that is never summarized.
C. Restart the session from scratch after 5 turns and ask the customer to repeat their details.
D. Increase the frequency of progressive summarization to occur every 2 turns instead of 5.

Answer: B

Explanation:
Progressive summarization silently destroys critical details over time. The solution is to use 'case facts' blocks-immutable, structured reference sections placed at the high-recall beginning of the context window that preserve critical information without being compressed.

NEW QUESTION # 67
A developer implements an escalation rule that triggers human review whenever the customer uses angry language. Why is this considered an anti-pattern?

A. The agent lacks a PostToolUse hook to properly process text sentiment scores.
B. The agent should always issue an automatic partial refund to calm the customer before escalating.
C. Sentiment does not correlate with task complexity; even angry customers may have simple requests that can be handled autonomously.
D. The sentiment threshold should only apply to explicit profanity to avoid false positives.

Answer: C

Explanation:
Escalating based on negative sentiment is an anti-pattern because sentiment does not equal task complexity. An angry customer asking for a password reset does not inherently require human interventiom Escalation should be based on objective criteria like policy gaps or capability limits.

NEW QUESTION # 68
When designing subagents to handle conflicting data from different sources during the final synthesis phase, which of the following are recommended practices? Choose 2 correct answers.

A. Preserve information provenance including the source, confidence level, and timestamp.
B. Silently average the conflicting numerical values to provide a balanced estimate.
C. Arbitrarily select the value from the most recently updated database to resolve the conflict.
D. Require subagents to output structured claim-source mappings.

Answer: A,D

Explanation:
When handling conflicting information, the system must maintain information provenance by requiring structured claim-source mappings (tracking source, confidence, and timestamp). This allows the system or a human reviewer to resolve conflicts based on reliability. Arbitrary selection or silently averaging data are architectural anti-patterns.

NEW QUESTION # 69
A quicktechie.com enterprise organization deploys a managed skill named code- review. A developer also creates a personal skill in ~/. claude/ skills/ with the exact same name code-review.
When the developer requests a review, which skill takes priority?

A. A validation error is thrown, and neither skill loads until the naming conflict is resolved.
B. The personal skill overrides the enterprise skill because user-level scope takes precedence.
C. The enterprise managed skill takes highest priority and strictly overrides the personal skill.
D. Claude automatically merges the instructions from both skills into a single execution context.

Answer: C

Explanation:
Claude Code enforces a strict priority hierarchy for skill conflicts: Enterprise (managed settings) > Personal > Project > Plugins. The enterprise managed skill takes the highest priority, ensuring that mandatory organizational standards cannot be bypassed by personal configurations.

NEW QUESTION # 70
When designing escalation patterns for an autonomous customer support agent, which of the following represent architectural anti- patterns that should be avoided? Choose 2 correct answers.

A. Relying on the model's self-reported confidence score to determine if human review is needed.
B. Escalating cases when the agent detects a policy gap not covered by its instructions.
C. Escalating cases immediately when a customer explicitly requests to speak to a human.
D. Escalating cases automatically based on high levels of negative customer sentiment.

Answer: A,D

Explanation:
Using self-reported model confidence scores and customer sentiment are heavily tested anti-patterns. Model confidence is poorly calibrated for routing, and sentiment does not correlate with task complexity. Explicit human requests and policy gaps are valid escalation triggers.

NEW QUESTION # 71
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