CCAO-F Using the Claude API Practice Question
A developer is building a multi-turn assistant that must remember details from earlier in a long conversation. After many exchanges, the developer notices that Claude starts forgetting information provided near the beginning of the session. The application currently sends only the latest user message with each API call. What is the most likely cause and the appropriate fix?
⚠ Common exam trap
The trap here is assuming the API maintains server-side conversation memory, when in fact each request must carry its own context.
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
✓
The developer must include the prior conversation turns in the messages array so the model has the necessary context in each request.
The Messages API is stateless, so the model only sees what each request contains. Sending only the newest user message omits all prior context, which is why earlier details are forgotten. The correct remedy is to send the full conversation history in the messages array, alternating user and assistant turns, so the model can reference earlier information. Generation parameters and output limits do not influence context retention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The developer must include the prior conversation turns in the messages array so the model has the necessary context in each request.
Why this is correct
Because the Messages API is stateless, the model can only reason over the content provided in the current request. Omitting earlier turns means the model has no access to those details, which explains the forgetting. Sending the accumulated user and assistant messages in the messages array restores context and lets the model reference earlier information across turns.
- ✗
The developer should increase the max_tokens value so the model has more room to store conversation history internally.
Why it's wrong here
max_tokens limits the length of the generated response and does not create or expand any internal memory. The model does not retain state between calls regardless of this setting. Raising it may allow longer outputs but will not restore earlier conversation details, so the forgetting problem would persist after this change.
- ✗
The model has a limited memory that resets each call, so the developer must enable a persistent memory feature in the API request.
Why it's wrong here
The Messages API is stateless; there is no persistent memory feature to enable. Each request is independent, and the model only sees what is included in that request. The observed forgetting is caused by not sending prior turns, not by a missing memory toggle. The fix is to include conversation history in the messages array rather than searching for an API memory setting.
- ✗
The developer should set the temperature to 0 so the model deterministically recalls earlier messages.
Why it's wrong here
Temperature influences randomness in token selection and has no relationship to memory or context retention. Even at temperature 0, the model cannot reference content that is not present in the request. This setting will not bring back omitted conversation history, so it does not address the underlying statelessness of the API.
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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 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.