CCAR-F 무료 덤프문제 온라인 액세스

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

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.
A user is expanding the research system beyond its single web search agent by adding specialized data sources. They add a financial API agent that returns structured JSON with revenue, margins, and growth rates; a news monitoring agent that returns prose summaries of recent developments; and a patent analysis agent that returns structured lists of technology areas. The synthesis agent combines these into executive briefings. Currently, it converts everything to bullet points, causing financial comparisons to lose tabular clarity and news summaries to lose narrative flow. What change would most improve briefing quality?

• A.Update the synthesis agent to render each content type appropriately - financial data as tables, news as prose
• B.Standardize all subagent outputs to JSON with fields for claim, evidence, source, and confidence
• C.Standardize all subagent outputs to prose summaries with inline citations
• D.Add a format conversion layer between subagents and synthesis that transforms all outputs to a common intermediate representation

A chatbot frequently receives greetings, policy questions, and technical support requests. Which architecture improves maintainability?

• A.Disable retrieval.
• B.One prompt for every scenario.
• C.Prompt routing based on request type.
• D.Maximum temperature.

An application frequently repeats the same background instructions in every API request. What is a potential downside?

• A.Reduced model capability.
• B.Higher token usage and cost.
• C.Lower reliability.
• D.Increased hallucinations only.

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.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.