CCDV-F Claude Code Practice Question
Exhibit
{ "error": "rate_limit_exceeded", "message": "Too many requests in a given amount of time", "retry_after": 30 }Refer to the exhibit. You are working with Claude Code and receive this error message during a batch refactor. What is the most appropriate course of action?
⚠ Common exam trap
Users often panic or attempt to force-retry immediately when hitting rate limits. This causes further API errors and potential session instability rather than allowing the system to back off gracefully.
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
✓
Wait for the duration specified in the error message before resuming.
Rate limiting is a common occurrence during high-volume API interactions. The 'retry_after' field provides clear instruction on the necessary wait time. Manually waiting or allowing the agent to handle the backoff prevents further API errors and ensures that the session remains stable. This is crucial for maintaining the integrity of the ongoing task and avoiding potential session disconnects or state corruption during intense automated coding sessions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Immediately terminate the session and restart to clear the cache.
Why it's wrong here
Restarting the session does not resolve API-level rate limits and actually causes unnecessary overhead. The session state is maintained on the server-side regarding API usage, so resetting the local agent does not bypass the rate limit imposed by the Anthropic API infrastructure.
- ✓
Wait for the duration specified in the error message before resuming.
Why this is correct
Adhering to the 'retry_after' duration is the standard approach for handling rate-limiting errors. Waiting allows the API quota to reset, ensuring that subsequent requests from the agent are processed successfully without triggering further errors or potential temporary blocks on the API key being used.
- ✗
Modify the local code to reduce the number of function calls.
Why it's wrong here
Rate limits are based on API request frequency, not local code complexity. Reducing function calls in the source code does not affect the agent's communication frequency with the Claude API, making this approach ineffective at resolving the specific error encountered by the developer.
- ✗
Increase the concurrency settings in the project config file.
Why it's wrong here
Increasing concurrency during a rate-limit event exacerbates the problem. The API is already signaling that it cannot handle the current request volume. Increasing parallelism would likely lead to more frequent errors and potentially trigger stricter rate enforcement or temporary suspension of service access.
About these practice questions
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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
This CCDV-F practice question is part of Courseiva's free Anthropic certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCDV-F exam.