Anthropic CCAR-F

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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

1. After deploying automated code review, developers report that approximately 35% of flagged findings are false positives falling into consistent patterns: style suggestions contradicting team conventions, security warnings for patterns that are safe in your deployment context, and performance suggestions that would degrade your specific use case. You want to reduce false positives while maintaining the ability to catch genuine issues. Which approach best enables the model to generalize its judgment to novel code patterns it has not seen before?

A) Add instructions to your system prompt to "be conservative," "only flag definite issues," and "consider that some patterns may be intentional."
B) Include few-shot examples in your prompt showing annotated code snippets that distinguish acceptable patterns from genuine issues in each category.
C) Implement post-processing that uses keyword matching to filter out findings containing terms such as
"convention," "context-dependent," or "trade-off."
D) Create a comprehensive written specification of all patterns that should not be flagged, and then include the full documentation in the system prompt.

2. 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 over-hedge with 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) Add a verification subagent that passes only claims corroborated by at least two independent sources to synthesis.
B) Configure subagents to report only findings that meet a high-confidence threshold.
C) Instruct the synthesis agent to structure reports with explicit sections distinguishing well-established findings from contested findings while preserving each source's characterization and methodological context.
D) Normalize every subagent's uncertainty statements to probability scores between 0.0 and 1.0, then calculate a confidence-weighted average.

3. When analyzing complex legal cases that cite multiple precedents, the document-analysis subagent processes each precedent sequentially. A landmark case citing 12 precedents takes more than three minutes to analyze completely. What is the most effective way to reduce this latency while preserving the coordinator's ability to monitor and debug the system?

A) Have the coordinator spawn parallel document-analysis subagents, each handling a subset of precedents, and then aggregate the results before synthesis.
B) Implement a message queue where precedent-analysis tasks are processed asynchronously by a pool of worker agents.
C) Create a recursive agent hierarchy where analysis agents subdivide work among child agents until reaching single-precedent granularity.
D) Enable the document-analysis subagent to spawn its own specialized subagents dynamically when it encounters cases with many citations.

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 three requirements for Claude Code's behavior in your project:
* Claude must never modify files in the db/migrations/ directory.
* Claude should prefer your custom logging module over console.log .
* All TypeScript files must be auto-formatted with Prettier after every edit.
All three are currently written as instructions in your project's CLAUDE.md. During a complex refactoring session, a developer discovers that Claude edited a migration file, violating requirement #1.
How should you restructure these requirements across Claude Code's configuration mechanisms?

A) Move all three requirements into .claude/rules/ as path-scoped rules: one targeting db/migrations/** that forbids editing those files, and others targeting **/*.ts for the logging convention and formatting instruction.
B) Configure hooks for all three: a PreToolUse hook script that blocks Edit calls targeting db/migrations/ , a PreToolUse hook script that adds logging convention context before edits, and a PostToolUse hook that runs Prettier after TypeScript edits.
C) Rewrite all three requirements in CLAUDE.md using stronger directive language and add few-shot examples that demonstrate Claude refusing to edit migration files and running Prettier after edits.
D) Add Edit(./db/migrations/**) to permissions.deny in the project settings, keep the logging preference in CLAUDE.md, and add a PostToolUse hook to run Prettier after TypeScript edits.

5. 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) 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.
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) Have developers add inline suppression comments at flagged lines and preprocess diffs to exclude suppressed lines before sending code to the model.
D) Build post-processing keyword filters that suppress findings containing terms such as "force unwrap,"
"large class," or "deprecated import" before results reach developers.

Solutions: