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Anthropic CCAR-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tool Design & MCP Integration	18%	- Tool integration 1. Tool interface design 2. Tool selection and safety 3. Resource and server integration 4. Model Context Protocol (MCP)
Topic 2: Agentic Architecture & Orchestration	27%	- Agentic architecture patterns 1. Planning and execution strategies 2. Single-agent and multi-agent architectures 3. Workflow design 4. Agent orchestration
Topic 3: Prompt Engineering & Structured Output	20%	- Prompt design 1. Prompt engineering techniques 2. Structured output and JSON schemas 3. Few-shot prompting 4. Output validation
Topic 4: Context Management & Reliability	15%	- Context handling 1. Cost and performance optimization 2. Memory strategies 3. Reliability and evaluation 4. Context window management
Topic 5: Claude Code Configuration & Workflows	20%	- Claude Code 1. Configuration and project setup 2. Development workflows 3. Code generation and automation 4. Agent skills

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Anthropic - CCAR-F - Unparalleled Reliable Claude Certified Architect - Foundations Exam Price

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Anthropic Claude Certified Architect - Foundations Sample Questions (Q180-Q185):

NEW QUESTION # 180
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.
An engineer asks the agent to find all files in the monorepo that import the @company/auth package to understand how authentication is used across services. Which built-in tool is most appropriate for this task?

A. Bash, to execute find. -type d -name "*auth*" and explore matching directories
B. Grep, to search for the import statement pattern across file contents
C. Read, starting with package.json files to trace dependency declarations
D. Glob, to find files with "auth" in their filename or path

Answer: B

Explanation:
Grep searches file contents across the repository, making it the correct tool for locating every source file that imports @company/auth. Glob searches filenames and paths, not code content.

NEW QUESTION # 181
A developer uses Claude Code to refactor a function during a development session. Before committing, the developer asks the same Claude session to review the code for issues. Later, a separate automated CI review catches several bugs that the same-session review missed. What best explains this discrepancy?

A. The extended session caused the context window to fill with conversation history, leaving insufficient capacity for thorough analysis.
B. The CI review uses a more specific prompt tailored to catching bugs, while the developer's request was too general.
C. Claude retains context about its prior reasoning in the session, making it less likely to question its own decisions.
D. The CI environment has access to the complete codebase, while the local session can see only the current file.

Answer: C

Explanation:
The key difference is reviewer independence. In the original session, Claude retains the reasoning, assumptions, implementation decisions, and intermediate conclusions that led to the refactor. That context can anchor the subsequent review toward defending or confirming the chosen approach instead of evaluating the resulting code independently. The separate CI review begins with fresh context and can assess the implementation solely against the code and review criteria.
Anthropic's Claude Code best-practices documentation explicitly states that fresh context improves code review because Claude is not biased toward code it has just written. It recommends a writer/reviewer pattern using separate sessions or a review subagent with an isolated context.
Option B is possible in an uncontrolled comparison, but the scenario's defining distinction is that one review occurs in the implementation session and the other is independent. Option C is false because local Claude Code can read and search the repository when permissions and tools permit it; it is not inherently restricted to the current file. Option D would require evidence of context saturation, such as degraded instruction following or an almost-full context window. No such evidence is supplied. Prior-reasoning bias most directly explains the observed discrepancy.

NEW QUESTION # 182
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. Keep --system-prompt and add --allowedTools "Read,Glob,Grep", because non-interactive -p mode otherwise disables filesystem tools.
B. Replace --system-prompt with --append-system-prompt and explicitly instruct Claude to inspect related repository files whenever broader context is needed.
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. Remove --system-prompt entirely and place the review instructions in a CLAUDE.md file, because - -system-prompt is incompatible with tool use under -p.

Answer: B

Explanation:
Option D preserves Claude Code's standard coding-agent instructions while adding the specialized review criteria. Anthropic documents that --system-prompt replaces the entire default system prompt, including its tool guidance, safety instructions, and coding conventions. It does not technically disable tools, but removing that guidance can make the invocation behave like a narrowly scoped text processor. --append-system-prompt retains the default behavior and layers the review instructions on top.
The prompt should explicitly direct Claude to use Read, Glob, and Grep to inspect definitions, callers, tests, and related modules whenever the diff alone is insufficient.

NEW QUESTION # 183
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 are dismissing 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. Build post-processing keyword filters that suppress findings containing terms such as "force unwrap,"
"large class," or "deprecated import" before results reach developers.
B. 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.
C. Configure the review to analyze only the changed lines in the diff without surrounding file context, reducing the amount of code the model evaluates during each review.
D. Have developers add inline suppression comments at flagged lines and preprocess diffs to exclude suppressed lines before sending code to the model.

Answer: B

Explanation:
Option D supplies the missing repository-specific knowledge before Claude evaluates the code. The project's CLAUDE.md should state that force-unwrapping is permitted within test paths, explain the coordinator-class architecture, and identify the internally maintained deprecated module as an approved dependency. These instructions should be concise and scoped carefully so exceptions do not become global permissions.
Anthropic's CLAUDE.md documentation defines project CLAUDE.md files as persistent context for coding standards, architecture, workflows, and team conventions. They are loaded at the beginning of applicable sessions, preventing the organization from repeatedly supplying the same corrections. Anthropic also recommends recording information that Claude should know whenever it works in the repository.
Option A filters generated findings after tokens have already been consumed and can hide genuine issues containing similar terminology. Option B removes valuable surrounding context and would likely increase false positives and missed cross-file defects. Option C distributes project knowledge across individual source lines, creates maintenance overhead, and requires custom preprocessing. Centralized, narrowly scoped CLAUDE.md instructions address the root cause and improve the initial review judgment instead of repairing its output afterward.

NEW QUESTION # 184
Your agent is handling a billing dispute. After calling get_customer and lookup_order, it identifies that the dispute involves a promotional pricing error requiring manager approval - beyond the agent's authorization level. How should the workflow handle this mid-process escalation?

A. Persist the complete conversation and tool response history to a database, then call escalate_to_human with a reference ID.
B. Call escalate_to_human passing only the customer's original message.
C. Attempt the refund with process_refund anyway, escalating only if the system rejects the transaction.
D. Compile a structured handoff with customer details, order info, and the identified issue before calling escalate_to_human.

Answer: D

Explanation:
A structured handoff containing the customer details, order information, and the specific issue ensures the human agent has all relevant context to act immediately. This approach avoids delays or repeated clarification and preserves continuity when authority limits prevent the agent from completing the task.

NEW QUESTION # 185
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