CCAO-F Using the Claude API Practice Question
A developer is building a customer-facing assistant with the Claude Messages API and must implement multi-turn conversations that stay within context limits while remaining coherent. Which TWO practices are appropriate for managing the conversation history? (Choose two.)
⚠ Common exam trap
The trap here is assuming the Messages API retains conversation state between calls, when each request is stateless and only the content the client resends is visible to the model.
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
✓
Store durable facts and user preferences in a separate summary that is injected into the system prompt on each call.
Because the Messages API keeps no server-side session, the client owns conversation state and must resend it. The practical approaches are to manage the growing messages array by trimming or summarizing old turns, and to preserve durable facts in a compact summary injected through the system prompt. Neither raising max_tokens nor deleting assistant turns addresses the input-size limit, and the API does not remember prior turns on its own.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Store durable facts and user preferences in a separate summary that is injected into the system prompt on each call.
Why this is correct
Extracting stable facts into a summary and injecting them via the system prompt preserves important context even after raw turns are dropped. It keeps the token cost low while maintaining coherence, because the model still sees the durable information. This is an appropriate technique for managing long conversations within context limits.
- ✓
Resend the full messages array on every request, trimming or summarizing the oldest turns when the total approaches the context window.
Why this is correct
The Messages API is stateless, so the client must resend the conversation each time. As the history grows, the developer must actively manage size by trimming or summarizing older turns before the context window is exceeded. This keeps continuity while respecting the input limit, making it a correct way to sustain multi-turn conversations.
- ✗
Rely on the API to remember previous turns server-side using a conversation identifier returned in each response.
Why it's wrong here
The Messages API does not persist conversations or return a conversation identifier that recalls prior turns. Each request is independent, and the model only sees what is sent in that call. Assuming server-side memory would cause the assistant to lose context, so this approach does not work for maintaining a coherent multi-turn interaction.
- ✗
Delete all prior assistant turns and keep only user messages to halve the token usage.
Why it's wrong here
Removing assistant turns destroys the dialogue structure the model needs to stay coherent, and the Messages API expects a conversation whose first turn is from the user with assistant replies interleaved. This would confuse the model and degrade quality far more than it saves tokens, so it is not a sound history-management practice.
- ✗
Increase max_tokens to the model's maximum on every request so no earlier turn is ever dropped.
Why it's wrong here
max_tokens bounds the generated output, not the size of the input history. Raising it does not prevent the messages array from growing beyond the context window, and it can increase cost and latency. The context limit applies to input plus output tokens combined, so this setting does not solve history management.
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.