1Z0-1127-25 OCI Generative AI Service Practice Question
A team wants to use the Embedding API to convert product descriptions into vectors for a semantic search application. They have descriptions in English and Spanish. Which embedding model should they use?
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
embed-multilingual-v3.0 supports multiple languages including English and Spanish.
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 only supports English.
- ✓
embed-multilingual-v3.0
Why this is correct
Supports multiple languages including English and Spanish.
- ✗
Cohere Command R
Why it's wrong here
Command R is a generation model, not for embeddings.
- ✗
Cohere Rerank
Why it's wrong here
Rerank is a different model for re-ranking, not embedding.
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