CCAO-F Using the Claude API Practice Question
A developer is sending a large knowledge-base article to the Claude Messages API for analysis. The API returns HTTP 400 with an error message indicating the input is too long. Which statement best describes the correct remediation?
⚠ Common exam trap
The trap here is treating a deterministic 400 invalid-request error as if it were a transient failure that retries or parameter tweaks could overcome.
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
✓
Reduce or chunk the input content so the prompt plus the requested output fits within the model's context window.
An HTTP 400 with an explicit input-length message means the prompt plus expected completion exceeds the model's context window. The only correct fix is to shrink the input through chunking, summarization, or removal of irrelevant content. Parameters like max_tokens control output length, and retry logic only helps transient failures, so neither resolves a deterministic size violation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Switch the request method from POST to GET to bypass the length restriction.
Why it's wrong here
The Messages API expects POST requests with a JSON body; there is no GET alternative for creating messages. Changing the HTTP method would produce a different error and cannot circumvent context-window limits, which are enforced server-side on the token count of the request content regardless of method.
- ✗
Retry the request with exponential backoff because the error is transient.
Why it's wrong here
Backoff and retries are appropriate for transient conditions such as rate limiting or server errors, typically HTTP 429 or 5xx. A 400 response indicates a malformed or invalid request that will fail identically on every retry. Retrying wastes time and quota while the underlying oversized-input problem remains unresolved.
- ✗
Increase the max_tokens parameter so the model has room for both the input and the output.
Why it's wrong here
max_tokens governs only the generated output length, not the size of the input prompt. A request that fails because the input exceeds the context window will continue to fail regardless of max_tokens. Adjusting this value misdiagnoses the error and leaves the oversized prompt unchanged, so the 400 response recurs.
- ✓
Reduce or chunk the input content so the prompt plus the requested output fits within the model's context window.
Why this is correct
The 400 error signals that the combined prompt and expected completion exceed the model's context window. Splitting the article into smaller chunks, summarizing sections, or trimming irrelevant text brings the request within limits. This directly addresses the reported cause and allows the request to succeed without changing unrelated parameters.
Visual reference
About these practice questions
One of 259 original CCAO-F practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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 CCAO-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 CCAO-F exam.