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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

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 includes a release-notes generation step that classifies and summarizes approximately 200 commits at the end of each weekly release cycle. Each commit is currently sent as a separate Messages API request using a Sonnet-tier Claude model. The release notes are not needed until the following morning, providing approximately 12 hours of acceptable latency.
Your team must reduce the per-token API cost while retaining the same model, prompts, and output quality.
Which approach satisfies all these constraints?

A) Issue the 200 Messages API requests concurrently because parallel execution reduces the per-token price.
B) Concatenate all 200 commit messages into one Messages API request because reducing the number of requests always reduces token costs.
C) Replace the Sonnet-tier model with a Haiku-tier model to obtain a lower per-token price.
D) Submit the 200 requests through the Message Batches API with unique custom_id values and retrieve the results after the batch finishes.

2. 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 CI pipeline performs security-focused code reviews on approximately 50 pull requests daily, currently costing $150 per day using the synchronous API. Reviews are non-blocking-developers merge after tests pass and address findings in follow-up commits. You are evaluating the Message Batches API for its 50% cost reduction.
What factor most determines whether batch processing is appropriate for this use case?

A) Whether reducing per-review latency from 30-60 seconds to near-instant matters for your workflow.
B) Whether you can structure each review as a single request without multi-turn refinement.
C) Whether your result-processing system can handle reviews arriving in a different order from the order in which they were submitted.
D) Whether review feedback arriving up to 24 hours after pull-request creation remains actionable.

3. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
You have configured the system so that all four subagents have access to the complete set of 18 tools. During testing, agents frequently call tools outside their specialization-the synthesis agent attempts web searches, and the report generator tries to analyze documents.
What is the primary cause of this poor tool-selection behavior?

A) The agents' role descriptions in their system prompts conflict with having access to tools outside those roles.
B) Choosing from 18 tools instead of four or five relevant tools increases decision complexity beyond reliable selection thresholds.
C) The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
D) The tool definitions consume too much context-window space, leaving insufficient room for task content.

4. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
Production reviews reveal inconsistent handling of uncertainty in final reports. Sometimes conflicting subagent findings are synthesized into a single confident statement, losing important nuance, while other reports use excessive qualifications and become unhelpful. The web-search agent returns, "Industry analysts estimate a $50 billion market size, although methodologies vary." The document-analysis agent returns, "A peer-reviewed study estimates $35 billion, with a ±$7 billion 95% confidence interval." The coordinator either selects one estimate arbitrarily or produces a vague $35-$50 billion range.
What systematic approach best addresses this?

A) Implement a confidence-calibration layer that normalizes subagent uncertainty expressions to probability scores between 0.0 and 1.0, and then calculate a confidence-weighted average.
B) Configure subagents to report only findings meeting a high-confidence threshold, filtering uncertain information before it reaches the coordinator.
C) Instruct the synthesis agent to distinguish well-established findings from contested findings explicitly, preserving each source's original uncertainty, methodology, and supporting evidence.
D) Add a verification subagent that passes claims to synthesis only when they are corroborated by at least two independent sources.

5. 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?

A) Replace --system-prompt with --append-system-prompt and explicitly instruct Claude to inspect related repository files whenever broader context is needed.
B) Keep --system-prompt and add --allowedTools " Read,Glob,Grep " , because non-interactive -p mode otherwise disables filesystem tools.
C) Remove --system-prompt entirely and place the review instructions in a CLAUDE.md file, because -- system-prompt is incompatible with tool use under -p.
D) Stop piping the diff through standard input and embed it inside the prompt, so Claude Code treats the invocation as an agentic session.

Solutions: