CCAO-F Using the Claude API Practice Question
A company needs to summarize thousands of short customer feedback snippets every hour. Speed and low cost are their primary requirements, while the complexity of each task is very low. Which Claude 3 model should they choose for this specific API integration?
⚠ Common exam trap
Candidates often choose Opus for all tasks assuming 'more capable' is always better, ignoring explicit prompt requirements for speed, high volume, and low cost where Haiku is designed.
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
✓
Claude 3 Haiku
Selecting the appropriate model involves balancing performance requirements against cost and latency constraints. Claude 3 Haiku is specifically optimized for speed and affordability, making it ideal for high-volume, simple tasks. Understanding these trade-offs is critical for architecting scalable AI solutions that remain cost-effective while meeting strict response time service level agreements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Claude 3 Opus
Why it's wrong here
Opus is the most powerful model but also the slowest and most expensive. It is designed for complex reasoning and highly sophisticated tasks. Using it for simple summarization of short snippets would be an inefficient use of budget and would result in unnecessarily high latency for a high-volume task like this one.
- ✗
Claude 3 Sonnet
Why it's wrong here
Sonnet offers a middle ground between Opus and Haiku, but it is still more expensive and slower than Haiku. While it could easily handle the task, it would not be the most optimized choice for a simple, high-frequency requirement where cost-per-token is a primary driver for the business's architectural decisions.
- ✓
Claude 3 Haiku
Why this is correct
Haiku is the fastest and most cost-effective model in the Claude 3 family. It is designed for near-instantaneous responses and can handle lightweight tasks like classification or simple data extraction. Using Haiku for high-frequency small tasks ensures the application remains responsive while significantly reducing overall API expenditure compared to larger models.
- ✗
Claude 2.1
Why it's wrong here
While Claude 2.1 is available, the Claude 3 family (specifically Haiku) provides better performance and efficiency for modern API integrations. Anthropic generally recommends using the latest generation of models for new projects. Haiku specifically outperforms older models in the speed-to-cost ratio for simple, high-volume tasks like the one described in the scenario.
About these practice questions
Courseiva writes every CCAO-F question from scratch — 259 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. 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.