Try Anthropic : CCA-F valid & accurate questions and answers
Last Updated: Sep 14, 2026
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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic Architecture & Orchestration | 27% | - Agentic loop design and execution lifecycle
|
| Topic 2: Claude Code Workflows & Configuration | 20% | - Claude Code operational patterns
|
| Topic 3: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Topic 4: Context Management & Reliability | 15% | - Long-context optimization
|
| Topic 5: Prompt Engineering & Structured Output | 20% | - Reliable structured generation
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
Which statement BEST describes Retrieval-Augmented Generation?
- A. It permanently retrains Claude.
- B. It supplies relevant external knowledge during inference.
- C. It changes token pricing.
- D. It compresses model weights.
Correct Answer: B 🗳️
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After 30+ turns, your conversational assistant shows noticeably slower responses and occasionally produces less coherent outputs. Investigation reveals: (1) average conversations reach 50,000 tokens by turn 35, (2) production logs show 94% of user messages only reference the previous 3-5 exchanges, (3) the 6% of queries referencing earlier context typically ask about information the user could easily re-state. Your goal is to improve response speed and quality while maintaining good user experience. What's the most effective approach?
- A. Implement a sliding window keeping only the system prompt and last 8-10 turns. When users reference earlier context, acknowledge the limitation and ask them to re-state the relevant information.
- B. Implement a summarization layer that progressively compresses older conversation turns into a running summary while keeping the most recent 5-6 turns verbatim, maintaining full historical context in condensed form.
- C. Enable prompt caching and continue sending the complete conversation history, using cached prefixes to reduce per-request costs while preserving all context.
- D. Build a retrieval system that stores all conversation turns and uses semantic search to pull in relevant historical context only when the current query appears to reference past information.
Correct Answer: B 🗳️
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A financial services company plans to integrate Claude into an internal document analysis platform. The architects want to minimize exposure of confidential client information while maintaining high-quality responses. Which approach BEST aligns with Anthropic's recommended architecture?
- A. Replace Claude with a smaller local model regardless of task complexity.
- B. Send every document without preprocessing to maximize context.
- C. Remove unnecessary sensitive information before sending prompts whenever possible.
- D. Store every prompt permanently for auditing.
Correct Answer: C 🗳️
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You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
Your agent has spent 25 minutes exploring a game engine's rendering subsystem -reading shader code, buffer management, and frame synchronization logic. An engineer now asks it to understand how the physics engine integrates with rendering for collision debug overlays. You notice recent responses reference "typical rendering patterns" rather than the specific VulkanPipeline and FrameGraph classes it discovered earlier.
What's the most effective approach?
- A. Spawn a sub-agent to explore physics independently, then manually synthesize its findings with the rendering knowledge accumulated in the main conversation.
- B. Use /clear to reset context completely, then start fresh with physics exploration using file paths from the project's CLAUDE.md.
- C. Summarize key rendering findings, then spawn a sub-agent for physics exploration with that summary in its initial context.
- D. Continue in the current context with more targeted prompts referencing the specific classes by name.
Correct Answer: C 🗳️
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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.
Correct Answer: A 🗳️
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