CCDV-F Claude Code Practice Question
A developer is onboarding to an unfamiliar Python service and wants to use Claude Code to build an accurate mental model of how requests flow through the codebase before making changes. Which TWO actions best leverage Claude Code for this exploration task? (Choose two.)
⚠ Common exam trap
The trap here is equating any repository-wide command with genuine architectural understanding, when only tasks that trace relationships and wiring actually explain request flow.
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
✓
Ask Claude Code to trace the request path from the HTTP route definitions through the service layer and summarize each hop.
Effective exploration with Claude Code means asking for synthesized understanding of relationships: tracing a request from route to service and describing how middleware, routing, and dependency injection connect. Those tasks exploit the agent's ability to read across files and explain architecture. Inventory-style listings, test counts, and reformatting do not reveal how requests flow and therefore fail to build the mental model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ask Claude Code to reformat all source files with the project's linter settings.
Why it's wrong here
Reformatting changes the code without improving anyone's comprehension of request flow, and it risks producing a noisy diff that obscures real structure. This is a maintenance action, not an exploration action, so it does not help the developer understand how the service processes a request and may even create review burden.
- ✓
Ask Claude Code to trace the request path from the HTTP route definitions through the service layer and summarize each hop.
Why this is correct
Claude Code can read multiple files and follow references across the repository, so asking it to trace a request path produces a synthesized explanation that would otherwise require hours of manual navigation. This directly serves the goal of understanding flow before editing, and the summary gives the developer a map they can verify against the source.
- ✓
Ask Claude Code to identify the entry points and describe how middleware, routing, and dependency injection are wired together.
Why this is correct
Entry points plus the wiring of middleware, routing, and dependency injection are exactly the structural facts that explain request flow. Claude Code can inspect configuration and startup modules to describe this accurately, giving the developer a coherent picture of initialization and dispatch that is hard to assemble by reading files in isolation.
- ✗
Ask Claude Code to list every file in the repository sorted by line count.
Why it's wrong here
A size-sorted file listing is mechanical inventory, not architectural understanding. Large files are not necessarily central to request handling, and the output omits relationships between modules. This action consumes context without revealing how a request travels from route to service to data layer, so it fails to advance the developer's stated goal.
- ✗
Ask Claude Code to run the full test suite and report only the total pass and fail counts.
Why it's wrong here
Aggregate pass and fail counts say nothing about how requests move through the service, so this does not build the mental model the developer needs. It also spends time executing tests rather than reading structure. While test results can hint at health, they are not a substitute for tracing the actual call path and dependencies.
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JA
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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