CCDV-F Claude API Mechanics Practice Question
A developer is using the Anthropic Messages API and wants to limit the maximum number of tokens that Claude can generate in its response. Which parameter should they set in the request body?
⚠ Common exam trap
Many candidates confuse max_tokens with stop_sequences, or assuming that other APIs' parameter names like max_length apply to the Anthropic API.
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
✓
max_tokens
The max_tokens parameter is specifically designed to cap the number of tokens generated in the response. It is a required field in the Messages API request. Other parameters like stop_sequences control stopping based on content, not token count. Parameters such as max_length or token_limit are not part of the API. Therefore, setting max_tokens is the correct approach to limit response length.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
token_limit
Why it's wrong here
The parameter token_limit does not exist in the Anthropic Messages API. While it sounds plausible, the correct parameter is max_tokens. Developers familiar with other APIs might mistakenly use token_limit, but it will not be recognized and will cause a validation error. Therefore, this is not the correct choice.
- ✗
max_length
Why it's wrong here
There is no parameter named max_length in the Anthropic Messages API. This name might be familiar from other machine learning frameworks or APIs, but it is not used here. Using it would result in an error. The correct parameter for limiting response length is max_tokens, so this option is incorrect.
- ✗
stop_sequences
Why it's wrong here
The stop_sequences parameter allows the developer to specify custom strings that, when generated, will cause the model to stop. It does not set a maximum number of tokens; instead, it stops based on content. While it can indirectly limit length if a stop sequence is hit early, it is not a token limit. The scenario asks for limiting the maximum number of tokens, so this is not the correct parameter.
- ✓
max_tokens
Why this is correct
The max_tokens parameter is a required top-level parameter in the Messages API that specifies the maximum number of tokens to generate in the response. It acts as a hard limit; the model will stop once it reaches this number or when it finishes naturally. Setting it appropriately prevents excessively long responses and controls cost. This is the correct parameter for the scenario.
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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.