CCDV-F Model Selection and Cost Management Practice Question
A company needs to process 10 million short customer feedback snippets to identify 'bug reports' vs 'feature requests'. Speed and budget are the primary constraints, while the classification logic is straightforward. Which model provides the best throughput-to-cost ratio?
⚠ Common exam trap
Candidates often default to the most capable model (like Sonnet or Opus) for simple classification tasks, ignoring that Haiku is specifically engineered for high-throughput, low-cost utility operations.
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
When dealing with massive datasets and simple logic, the most important metric is the cost per million tokens. Claude 3 Haiku is specifically optimized for these 'utility' tasks, offering high throughput and the lowest pricing in the Claude 3 family. Selecting a larger model for such a simple, high-volume task would lead to unnecessary expenditures without providing a noticeable improvement in classification quality.
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 3.5 Sonnet
Why it's wrong here
Sonnet 3.5 is an excellent general-purpose model, but its price point is significantly higher than Haiku. For 10 million snippets where the classification is straightforward, the extra intelligence of Sonnet 3.5 does not justify the increased cost, as Haiku is more than capable of handling basic category identification at a fraction of the price.
- ✗
Claude 3 Opus
Why it's wrong here
Opus is designed for complex reasoning and would be extremely slow and expensive for a 10-million-snippet task. The time-to-completion and the total bill would be prohibitively high, making it a poor choice for high-volume, simple data processing where efficiency and budget are the primary constraints for the engineering team.
- ✓
Claude 3 Haiku
Why this is correct
Haiku is the fastest and least expensive model, making it the superior choice for high-volume classification. It can process millions of tokens for a very low cost while maintaining the accuracy needed for simple tasks like distinguishing between bug reports and feature requests. This maximizes the return on investment for the company's data processing pipeline.
- ✗
Claude 2.0
Why it's wrong here
Claude 2.0 is an older model that is neither as fast nor as cost-effective as the newer Claude 3 Haiku. The Claude 3 family introduced significant architectural improvements that specifically targeted the speed-to-cost ratio for high-volume tasks, rendering older models less competitive for modern, budget-conscious enterprise applications.
About these practice questions
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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.