Token Usage Monitoring Quiz

Quiz covering GenAI Observability

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following metrics is the most direct indicator of the immediate financial cost associated with a Large Language Model API call?

2. 2

   In the context of observability, why is it important to track input (prompt) tokens separately from output (completion) tokens?

3. 3

   You notice a sudden spike in token usage costs without an increase in user traffic. Which of the following is the most likely cause?

4. 4

   When implementing observability for a RAG (Retrieval-Augmented Generation) pipeline, what is the best practice for tracking token usage?

5. 5

   If your observability platform shows high 'Tokens Per Second' (TPS) but low 'Tokens Per Request' during peak hours, what does this suggest about your application's performance?