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

1. During a long-running customer support session, critical details like the customer's account number and order amount are lost due to progressive summarization. What architectural pattern prevents this context degradation?

A) Write all customer details to an external database and run a lexical search on every turn.
B) Increase the frequency of the summarization algorithm to trigger every 3 turns.
C) Store critical transactional details in an immutable 'case facts' block positioned at the beginning of the context window.
D) Restart the session entirely and require the user to input their context again.

2. A quicktechie.com engineer pauses an active Claude Code investigation session, makes several manual code modifications to the project files in a separate IDE, and then resumes the Claude session. What is the recommended practice to ensure reliable continued analysis?

A) Explicitly inform the resumed session about the specific file changes for targeted re-analysis rather than requiring full re-exploration.
B) Invoke a PreToolUse hook to block Claude from reading any newly modified files.
C) Use the /compact command to clear Claude's memory of the old file states automatically.
D) Rely on Claude's background file system watcher to automatically update the context window.

3. When applying few-shot prompting to improve output consistency for a task with ambiguous boundaries, what is the optimal number of examples to provide?

A) 8 to 10 examples.
B) 1 example.
C) 2 to 4 examples.
D) 15 or more examples.

4. What is a primary architectural limitation of using a fixed prompt chaining pipeline for a complex debugging task?

A) It forces the agent to use tool_choice: any, bypassing deterministic programmatic hooks.
B) It inherently exceeds the maximum token limit of the context window faster than single prompts.
C) It requires the use of the Message Batches API, adding a 24-hour latency to the execution.
D) It cannot dynamically adapt its approach if an intermediate analysis step reveals an unexpected root cause.

5. During an extended codebase exploration session, the context window fills with verbose discovery output and tool results, leading to degraded reasoning. Which built-in command is designed to mitigate this issue while preserving key session findings?

A) / compact
B) / init
C) / clear
D) fork_session

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