Anthropic CCAR-F Q&A - in .pdf

  • Exam Code: CCAR-F
  • Exam Name: Claude Certified Architect – Foundations
  • Updated: Jul 16, 2026
  • Q & A: 62 Questions and Answers
  • PDF Price: $59.98
  • Printable Anthropic CCAR-F PDF Format. It is an electronic file format regardless of the operating system platform.
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Anthropic CCAR-F Q&A - Testing Engine

  • Exam Code: CCAR-F
  • Exam Name: Claude Certified Architect – Foundations
  • Updated: Jul 16, 2026
  • Q & A: 62 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $59.98
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Anthropic Claude Certified Architect – Foundations Sample Questions:

1. 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.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?

A) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.
B) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.
C) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
D) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.


2. 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.
Your team is configuring MCP servers in Claude Code. You want to add a shared venue lookup server that all team members should have access to, and you personally want to add an experimental music playlist server that only you are testing.
Which configuration approach correctly applies MCP server scopes?

A) Add both servers to the project-level .mcp.json file.
B) Add both servers to your local ~/.claude.json .
C) Add the venue server to ~/.claude.json and the playlist server to .mcp.json .
D) Add the venue server to .mcp.json and the playlist server to ~/.claude.json .


3. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your extraction pipeline processes invoices and extracts line items, subtotals, tax amounts, and grand totals.
During evaluation, you discover that in 18% of extractions, the sum of extracted line item amounts doesn't match the extracted grand total-sometimes due to OCR errors in the source document, sometimes due to extraction mistakes by the model. Downstream accounting systems reject records with mismatched totals.
What's the most effective approach to improve extraction reliability?

A) Implement post-processing that automatically adjusts line item amounts proportionally when their sum doesn't match the stated total.
B) Add a "calculated_total" field where the model sums extracted line items alongside a "stated_total" field. Flag records for human review when values differ.
C) Extract line items and totals independently, then use a separate validation model to reconcile discrepancies by determining which extracted values are most likely correct.
D) Add few-shot examples demonstrating invoices where extracted line items sum correctly to the stated total, encouraging the model to produce mathematically consistent extractions.


4. 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.
Your team has connected a custom MCP server that provides DevOps workflow templates. The server exposes several MCP prompts (such as deploy_checklist and incident_response ) in addition to tools.
How do these MCP prompts become accessible within Claude Code?

A) They appear as slash commands (e.g., /mcp__servername__deploy_checklist ) that you can invoke, with arguments passed after the command name.
B) They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.
C) They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
D) They are surfaced as @ -mentionable resources alongside files, fetched and attached to your message when referenced.


5. 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.
A developer asks the agent to investigate why a specific API endpoint intermittently returns 500 errors. The codebase has 200+ files and the developer doesn't know which components are involved. The agent must trace the error through routing, middleware, business logic, and database layers.
What task decomposition approach would be most effective?

A) Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.
B) Have the agent dynamically generate investigation subtasks based on what it discovers at each step, adapting its exploration plan as new information about the error path emerges.
C) Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.
D) Define a fixed sequence of investigation steps upfront-grep for error patterns, then read error handlers, then check database queries, then examine middleware-executing each step regardless of intermediate findings.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: B

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