CCAO-F Using the Claude API Practice Question
When designing a high-throughput application using Claude 3, a developer is concerned about the costs of repeatedly sending a 20,000-token context in every request. Which API feature should they implement to optimize both cost and performance?
⚠ Common exam trap
Candidates often try to manually truncate or summarize context to save costs, ignoring the built-in 'Prompt Caching' feature designed to handle large, static context efficiently.
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
✓
Prompt Caching
Prompt Caching is a powerful feature for applications that reuse large amounts of context, such as documentation or legal files. By caching the prefix of a prompt, the developer only pays a reduced rate for the cached tokens in subsequent requests. This also reduces processing time, as the model does not need to re-encode the same information repeatedly, significantly improving efficiency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Context Compression
Why it's wrong here
Context compression is a general technique but not a specific feature of the Anthropic API. While developers can manually summarize text to save tokens, the API itself does not offer an automatic compression flag. Prompt Caching is the formal mechanism provided by Anthropic to handle the financial and performance challenges of large, repetitive contexts.
- ✓
Prompt Caching
Why this is correct
Prompt Caching allows the API to store frequently used context on the server side. When a new request starts with the same cached prefix, it is processed much faster and at a lower cost. This is ideal for scenarios where a large knowledge base is queried multiple times, directly addressing the developer's concerns about throughput and expense.
- ✗
Batch Processing
Why it's wrong here
Batch processing allows for sending many requests at once, often at a discount, but it does not address the redundancy of the context within those requests. Prompt Caching specifically targets the reuse of the same tokens across different calls. Batching is more about throughput and asynchronous execution rather than optimizing the cost of specific large-context prompts.
- ✗
Token Distillation
Why it's wrong here
Token distillation is not an Anthropic API feature. It sounds like a mix of 'knowledge distillation' and 'tokenization,' neither of which solves the problem of sending 20,000 tokens per request. Developers must use the Prompt Caching feature to achieve the desired balance of performance and cost when dealing with large, static background information.
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.