1Z0-1127-25 OCI Generative AI Service Practice Question
A data scientist needs to create vector embeddings for a multilingual customer feedback dataset to perform clustering analysis. Which OCI Generative AI embedding model should they choose?
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
The embed-multilingual-v3.0 model is designed for multilingual content, making it the best choice for a multilingual dataset. The other options are either English-only or not embedding models.
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 generative model, not an embedding model.
- ✗
Cohere embed-english-v3.0
Why it's wrong here
This model supports only English text, not multilingual.
- ✗
Meta Llama 3 70B
Why it's wrong here
Llama 3 is a generative model, not an embedding model.
- ✓
Cohere embed-multilingual-v3.0
Why this is correct
This embedding model supports over 100 languages, suitable for multilingual clustering.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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