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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage - Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration
Prompt Engineering & Structured Output	20%	- Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies - Tool-augmented prompting 1. Validation and retry loops 2. Tool-use driven reasoning patterns
Tool Design & MCP Integration	18%	- Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas - Model Context Protocol (MCP) 1. MCP server integration patterns 2. Tool selection and routing strategies
Agentic Architecture & Orchestration	27%	- Multi-agent orchestration 1. Parallel task decomposition 2. Coordinator / sub-agent patterns - Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step)
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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q104-Q109):

NEW QUESTION # 104
Your agent uses three tools: get_property_details(property_id) returns data including street address, get_price_history(property_id) returns historical pricing, and get_neighborhood_info(address) returns area statistics. You observe that get_neighborhood_info always requires get_property_details first just to extract the address, even when users specify the property by ID. This creates unnecessary latency and failure coupling - if the first call fails, the neighborhood request also fails. What tool design change best addresses this?

A. Consolidate into a single get_property_with_neighborhood(property_id) tool returning both datasets.
B. Add retry logic and timeout handling to get_property_details.
C. Change get_neighborhood_info to accept property_id, resolving the address internally.
D. Create a lookup_address(property_id) helper tool for retrieving addresses.

Answer: C

Explanation:
Allowing the neighborhood tool to accept the same identifier the user provides removes the need for the agent to chain through another tool just to extract an intermediate value. Resolving the address internally reduces latency, avoids unnecessary dependency on a prior tool call, and makes the workflow more reliable.

NEW QUESTION # 105
An agent executing a workflow at quicktechie.com needs to inspect the contents of a config. json file to understand current project settings. Which approach represents an architectural anti-pattern?

A. Invoking config.json") to output the file to the terminal.
B. Using the Glob tool to verify the file's path exists before attempting to read it.
C. Using the Read tool to parse the JSON contents directly into context.
D. Passing the file path directly to an approved MCP resource for validation.

Answer: A

Explanation:
Using Bash for file operations when dedicated built-in tools are available is a heavily tested anti-pattern. The agent should use the purpose-built Read tool to examine file contents rather than executing shell commands like 'cat'.

NEW QUESTION # 106
A developer wants Claude to explain every reasoning step internally before answering. Why might this request be inappropriate?

A. Internal reasoning should not be relied upon as an application feature.
B. Temperature prevents explanations.
C. JSON cannot contain reasoning.
D. Claude requires GPU acceleration.

Answer: A

Explanation:
Applications should evaluate Claude based on observable outputs rather than expecting access to internal reasoning processes. Prompting should request useful explanations or evidence instead of relying on hidden reasoning mechanisms.

NEW QUESTION # 107
Which prompt strategy is most effective at reducing false positives in an automated code review system?

A. Ask the model to "find all code issues" to ensure nothing is missed.
B. Use a temperature of 0.0 to ensure deterministic outputs.
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 # 108
Which of the following statements correctly describe the behavior of session management commands in Claude Code? Choose 2 correct answers.

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

Answer: A,D

Explanation:

NEW QUESTION # 109
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