1Z0-1127-25 OCI Generative AI Service Practice Question
An application needs to generate embeddings for text in multiple languages (English, Spanish, French). Which OCI Generative AI embedding model should be used?
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
✓
embed-multilingual-v3.0
The embed-multilingual-v3.0 model is designed for multilingual text. The English-only model would not handle other languages well.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
embed-english-v3.0
Why it's wrong here
This model is optimized for English text only and will not provide good quality embeddings for Spanish or French.
- ✗
Cohere Command R
Why it's wrong here
Command R is a generative model, not designed for embedding tasks.
- ✓
embed-multilingual-v3.0
Why this is correct
This model supports multiple languages and generates high-quality embeddings for English, Spanish, French, and many others.
- ✗
Meta Llama 3
Why it's wrong here
Llama 3 is a generative model, not an embedding model.
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