- Exam Code: CCAR-F
- Exam Name: Claude Certified Architect - Foundations
- Updated: Aug 07, 2026
- Q & A: 154 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Context Management & Reliability | 15% | - Context handling
|
| Topic 2: Tool Design & MCP Integration | 18% | - Tool integration
|
| Topic 3: Agentic Architecture & Orchestration | 27% | - Agentic architecture patterns
|
| Topic 4: Claude Code Configuration & Workflows | 20% | - Claude Code
|
| Topic 5: Prompt Engineering & Structured Output | 20% | - Prompt design
|
1. 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) The tool definitions consume too much context-window space, leaving insufficient room for task content.
C) The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
D) Choosing from 18 tools instead of four or five relevant tools increases decision complexity beyond reliable selection thresholds.
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.
The automated review consistently flags patterns your team uses intentionally-force-unwrapping optionals in test files, using large coordinator classes that follow your established architecture, and importing internally maintained modules marked as deprecated in the public SDK. Developers dismiss approximately 30% of all findings as project-specific false positives.
Which approach prevents the model from generating these findings in the first place by supplying the project' s conventions as persistent context during every review?
A) Configure the review to analyze only the changed lines in the diff without the surrounding file context, reducing the amount of code the model evaluates.
B) Have developers add inline suppression comments at flagged lines and preprocess diffs to exclude suppressed lines before sending code to the model.
C) Document the team's accepted patterns and intentional conventions in the project's CLAUDE.md file so the model receives this context during every review.
D) Build post-processing keyword filters that suppress findings containing terms such as "force unwrap,"
"large class," or "deprecated import" before results reach developers.
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) The tool definitions consume too much context-window space, leaving insufficient room for task content.
C) The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
D) Choosing from 18 tools instead of four or five relevant tools increases decision complexity beyond reliable selection thresholds.
4. 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.
After integrating a local MCP server providing code analysis tools ( analyze_dependencies , find_dead_code , calculate_complexity ), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
* MCP analyze_dependencies - "Analyzes dependency graph"
* Built-in Grep - "Search file contents for a pattern using regular expressions. Returns matching lines with line numbers and surrounding context." What's the most effective approach to improve the agent's selection of MCP tools?
A) Split analyze_dependencies into granular tools ( list_imports , resolve_transitive_deps , detect_circular_deps ) so each has a focused purpose less likely to overlap with Grep.
B) Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
C) Expand MCP tool descriptions to detail capabilities and outputs-e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
D) Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.
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.
Your team wants Claude to follow a detailed code review checklist (8 items covering API changes, test coverage, documentation, security, etc.) when reviewing pull requests. The team also uses Claude extensively for other tasks: writing new features, debugging production issues, and generating documentation. Currently, developers paste the checklist at the start of each review session.
Which approach best addresses this workflow need?
A) Create a /review slash command containing the checklist, invoked when starting reviews.
B) Add the checklist to the project's CLAUDE.md file under a "Code Review" section.
C) Configure plan mode as the default for code review sessions.
D) Create a dedicated review subagent with the checklist embedded in its configuration.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
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