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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

1. Your CI pipeline performs security-focused code reviews on approximately 50 pull requests daily, currently costing $150 per day through 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 because it offers a 50% cost reduction. What factor most determines whether batch processing is appropriate for this use case?

A) Whether review feedback arriving up to 24 hours after pull-request creation remains actionable.
B) Whether each review can be structured 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 reducing per-review latency from 30?0 seconds to near-instantaneous delivery matters to your workflow.

2. Your send_notification tool calls third-party messaging APIs. When these services time out during delivery, you cannot determine whether the message was actually sent. Currently, the tool returns is_error: true with a generic "Notification failed" message for all timeouts. Production monitoring reveals agents automatically retry these failures, frequently causing users to receive duplicate notifications. How should you modify the error response?

A) Return is_error: true with a message communicating uncertainty: "Timeout - status unknown.
Message may have been sent. Avoid retry."
B) Return is_error: true with the original message content echoed back.
C) Return is_error: true with a structured field retry_safe: true for timeouts, distinguishing them from permanent failures that should not be retried.
D) Return is_error: true with a message encouraging retry: "Delivery service temporarily unavailable.
Please retry the notification."

3. 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, and Glob--and integrates with Model Context Protocol (MCP) servers.
Your productivity agent connects to three MCP servers: an issue tracker with search_issues, get_issue, and create_comment; a documentation wiki with search_docs, get_page, and list_spaces; and a database explorer with run_query, get_schema, and list_databases. For cross- system questions such as, "Which database tables are affected by the authentication refactor in PROJ-1234?", the agent makes eight to ten sequential exploratory calls, lacks visibility into each server's available content, and exhausts context before completing complex investigations.
What architectural change best leverages MCP capabilities to address these problems?

A) Add an orchestrator that routes each question to one server based on keywords.
B) Consolidate all three systems into one unified MCP server with cross-referencing capabilities.
C) Add a prepare_investigation tool to each server that accepts a natural-language question and returns relevant summaries.
D) Expose each server's content catalog as MCP resources, including issue summaries, documentation hierarchies, and database schemas.

4. In production, final reports frequently contain claims without proper source attribution.
Investigation shows that while the web search and document analysis agents correctly attach citations to their outputs, the synthesis agent loses track of which sources support which conclusions when combining findings. What's the most effective architectural change?

A) Have the coordinator inject source identifier prefixes into text before each handoff, then parse these prefixes at report generation to reconstruct citations.
B) Add a verification step where the report generator uses semantic similarity matching against original sources to reconstruct which claims came from which documents.
C) Require all subagents to output structured claim-source mappings that the synthesis agent must preserve and merge when combining findings from multiple sources.
D) Maintain complete transcripts of all subagent interactions and add a citation-resolution agent to analyze logs and determine attributions before report generation.

5. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs. direct execution.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file. What is the most appropriate approach?

A) Enter plan mode first to create a detailed implementation strategy before making the change.
B) Use direct execution to make the change.
C) Start with extended thinking mode enabled to ensure thorough reasoning about the validation logic.
D) Enter plan mode to analyze how the validation might impact other parts of the reservation flow.

Solutions: