1Z0-1127-25 Fundamentals of Large Language Models Practice Question
Which two factors are essential for calculating the cost of using OCI Generative AI for text generation? (Choose two.)
⚠ Common exam trap
Oracle often tests the misconception that API call frequency or model architecture parameters directly influence cost, when in reality only token counts (input and output) are the billing units.
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
✓
Number of input tokens.
The cost of using OCI Generative AI for text generation is primarily determined by the number of input tokens (the prompt you send) and the number of output tokens (the generated response). OCI charges per token processed, making these two factors essential for cost calculation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Model architecture (encoder-only vs decoder-only).
Why it's wrong here
Model architecture does not directly impact billing; pricing is per token regardless.
- ✗
Number of API calls per minute.
Why it's wrong here
API calls are not directly billed; cost is based on tokens processed.
- ✗
Temperature setting.
Why it's wrong here
Temperature affects generation but not cost.
- ✓
Number of input tokens.
Why this is correct
Input tokens are a direct factor in cost calculation.
- ✓
Number of output tokens.
Why this is correct
Output tokens are charged per token.
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