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CCAR-F Exam Dumps : Claude Certified Architect – Foundations

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Claude Certified Architect – Foundations Questions and Answers

Question 1

You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.

Your pipeline runs:

PROMPT= ' You are a code reviewer. Analyze the provided diff for bugs, security issues, and style violations. '

claude -p \

--dangerously-skip-permissions \

--system-prompt " $PROMPT " \

< diff.txt

The reviews complete and return feedback, but Claude only comments on the piped diff text—it never reads surrounding files in the checked-out repository to understand broader context, even when the diff modifies a function called by many other modules.

Which change to the invocation will cause Claude to inspect related repository files while still applying your custom review instructions?

Options:

A.

Remove --system-prompt entirely and place the review instructions in a CLAUDE.md file, because --system-prompt is incompatible with tool use under -p.

B.

Keep --system-prompt and add --allowedTools " Read,Glob,Grep " , because non-interactive -p mode otherwise disables filesystem tools.

C.

Stop piping the diff through standard input and embed it inside the prompt, so Claude Code treats the invocation as an agentic session.

D.

Replace --system-prompt with --append-system-prompt and explicitly instruct Claude to inspect related repository files whenever broader context is needed.

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Question 2

After the web-search agent finds 25 sources containing 120,000 tokens of raw content, the document-analysis agent extracts 15,000 tokens of key insights, and the synthesis agent produces a coherent 3,000-token narrative draft, the coordinator must pass context to the report-generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?

Options:

A.

Pass a condensed summary of all prior stages that preserves the main findings and attributes them to sources by name only.

B.

Pass the synthesis draft together with a structured source index that maps key claims to their source URLs and relevant excerpts.

C.

Pass only the synthesis draft and use a separate post-processing pipeline to match claims to sources and insert citations after report generation.

D.

Pass the complete accumulated context from all prior agents.

Question 3

You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high-ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.

You’re implementing the escalation logic for when the agent should call escalate_to_human . Your team proposes four different approaches for triggering escalation.

Which approach will most reliably identify cases that genuinely require human intervention?

Options:

A.

Build a rules engine that maps specific issue types, customer segments, and product categories to escalation decisions, removing the need for model judgment calls.

B.

Instruct the agent to escalate when the customer requests a human, when the issue requires policy exceptions, or when the agent cannot make meaningful progress.

C.

Configure the agent to escalate after three consecutive tool calls that fail to resolve the customer’s stated issue, ensuring a reasonable attempt before involving a human.

D.

Implement sentiment analysis that monitors for frustration indicators (negative language, repeated questions, exclamation marks) and triggers escalation when the frustration score exceeds a configured threshold.