1Z0-1127-25 OCI Generative AI Service Practice Question
Which OCI Generative AI model is best suited for generating embeddings from text that can be used for semantic search across multiple languages?
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
✓
Cohere embed-multilingual-v3.0
Embed-multilingual-v3.0 is designed for multilingual embedding tasks. The other models are primarily for text generation or English-only embeddings.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cohere Command R+
Why it's wrong here
Command R+ is a conversational/generation model, not specialized for embeddings.
- ✓
Cohere embed-multilingual-v3.0
Why this is correct
This model is specifically built for multilingual embeddings, supporting semantic search across many languages.
- ✗
Meta Llama 3 70B
Why it's wrong here
Llama 3 is a generative model, not designed for embedding generation.
- ✗
Cohere Rerank
Why it's wrong here
Rerank is used for reordering search results, not for generating initial embeddings.
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