CCAR-F Claude Code Configuration and Workflows Practice Question
How does Claude Code handle large repositories that exceed the standard context window size during initial indexing?
⚠ Common exam trap
Candidates often assume the model loads every file in the repo into memory, which would exceed context windows; they miss that the system uses selective, targeted retrieval.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
It creates a local index of file names and symbols to enable targeted file reading.
Claude Code employs a sophisticated indexing strategy to handle repositories that are too large to fit entirely into a single prompt. It uses a combination of file metadata, symbol extraction, and selective loading to provide the model with a map of the codebase without needing every byte of code simultaneously.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It uploads the entire repository to a vector database and uses RAG for every query.
Why it's wrong here
While Claude Code uses indexing, it does not rely solely on a traditional external vector database RAG pattern for basic operations. It focuses on maintaining a local index of the file tree and symbols, allowing it to dynamically pull in relevant file contents into the context window as needed.
- ✗
It truncates the repository and only indexes the first 500 files detected.
Why it's wrong here
Arbitrarily truncating the codebase would make the tool unreliable for large projects, as it would be 'blind' to significant portions of the logic. Claude Code is designed to scale by intelligently mapping the structure and only reading the full content of files that are relevant to the user's current request.
- ✓
It creates a local index of file names and symbols to enable targeted file reading.
Why this is correct
Claude Code builds a local index that helps it navigate the codebase efficiently. When a user asks a question, the tool can search this index to identify which files are most likely to contain the answer. It then uses its 'read_file' tool to bring only the necessary code into the context.
- ✗
It requires the user to manually specify which directories to index using the /index command.
Why it's wrong here
Manual indexing would be a significant friction point for developers. The tool aims for an 'out-of-the-box' experience where it automatically handles discovery. Users can refine this behavior with ignore files, but the default workflow is automated to ensure the model has a comprehensive view of the project.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Anthropic exam blueprint
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