Anthropic CCA-F Exam Questions [2026]-Achieve Highest Scores

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Anthropic CCA-F Exam Syllabus Topics:

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

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q38-Q43):

NEW QUESTION # 38
A CI pipeline uses Claude to generate missing test cases for new pull requests. However, it frequently suggests test scenarios that are already covered elsewhere. How should this be resolved?

A. Provide existing test files in the context so the model can avoid suggesting duplicate scenarios.
B. Instruct the model to only generate tests for functions with zero coverage.
C. Use a PostToolUse hook to deduplicate the generated tests against the existing codebase.
D. Set the model's temperature to 0.0 to ensure deterministic test generation.

Answer: A

Explanation:
To prevent Claude from generating duplicate or overlapping tests, you must provide the existing test files in the context window. This ensures test generation adds net-new value and accurately supplements the current test suite.

NEW QUESTION # 39
What is the only reliable and architecturally correct signal in the Claude API to determine whether an agentic loop should continue executing tools or terminate?

A. Parsing the assistant's natural language text output for completion keywords like 'task complete'.
B. Inspecting the stop_reason field of the response for tool_use versus end_turn.
C. Setting a hard maximum iteration cap of 5 loops to prevent infinite execution.
D. Monitoring the total token count and exiting the loop when it reaches the context window limit.

Answer: B

Explanation:
The stop_reason field is the only reliable signal for controlling the agentic loop. 'tool_use' indicates the loop must continue to execute tools, while 'end_turn' indicates Claude has finished reasoning and the loop should exit. Parsing natural language or setting arbitrary iteration caps are heavily tested anti-patterns.

NEW QUESTION # 40
A developer at quicktechie.com is assigned a task to migrate a core utility library that is imported by over 45 different files across the repository. Which execution approach should the developer take?

A. Start with Direct Execution, and manually switch to Plan Mode only if unexpected compilation errors occur.
B. Use a custom slash command designed to bypass context limits.
C. Use Direct Execution to make incremental changes and let the implementation naturally reveal dependency boundaries.
D. Use Plan Mode to explore the codebase, understand dependencies, and design an architectural approach before committing to file modifications.

Answer: D

Explanation:
Plan mode is specifically designed for complex tasks involving large-scale changes, architectural decisions, and multi-file modifications (such as a library migration affecting 45+ files). It enables safe codebase exploration before committing to costly rework.

NEW QUESTION # 41
Which of the following statements correctly describe best practices for few-shot prompting? Choose 2 correct answers.

A. Few-shot examples are highly effective for demonstrating ambiguous-case handling.
B. The examples provided should maintain identical formatting to establish a clear pattern for the model to follow.
C. Few-shot examples should be avoided when extracting data from documents with highly varied structures.
D. Every few-shot example provided should use a completely different output format to show flexibility.

Answer: A,B

Explanation:
Best practices dictate that few-shot examples should demonstrate ambiguous-case handling and edge cases, and all examples must maintain identical formatting to establish a reliable pattern. Few-shot examples are actually highly recommended for documents with varied structures.

NEW QUESTION # 42
Your order management system requires tools for three distinct operations: issuing refunds (requires amount and reason), canceling orders (requires reason), and requesting reshipments (requires shipping address). Each operation shares an order_id parameter but has different additional requirements. You notice during testing that with your current unified tool design, the agent frequently omits required parameters or includes irrelevant ones. What design change will most effectively improve parameter accuracy?

A. Keep one unified tool with a nested operation_details object parameter whose internal structure varies by operation type, documented in the tool description.
B. Keep one unified tool but add JSON Schema if-then-else conditionals to enforce that parameters like amount are required only when the operation type is "refund".
C. Keep one unified tool with all parameters marked optional, but add detailed few-shot examples in the system prompt showing correct parameter combinations for each operation type.
D. Split into three separate tools (issue_refund, cancel_order, request_reshipment), each defining only the parameters required for that specific operation.

Answer: D

Explanation:
Separate tools with operation-specific schemas make the required parameters clear and reduce ambiguity during tool selection. This improves parameter accuracy because each tool exposes only the fields needed for that exact action, such as refund amount and reason, cancellation reason, or reshipment address.

NEW QUESTION # 43
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