1Z0-1127-25 OCI Generative AI Service Practice Question
A team is building a multilingual semantic search application. They need to index documents in English, Spanish, and French, and later search using queries in any of these languages. 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
✓
Cohere embed-multilingual-v3.0
Cohere embed-multilingual-v3.0 supports multiple languages in a single model, enabling cross-lingual semantic search. embed-english-v3.0 is English-only. Command R and Llama 3 are 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.
- ✗
Meta Llama 3 70B
Why it's wrong here
Llama 3 is a general-purpose LLM, not an embedding model.
- ✗
Cohere Command R
Why it's wrong here
Command R is a generation model, not an embedding model.
- ✓
Cohere embed-multilingual-v3.0
Why this is correct
This model is designed for multilingual text, supporting English, Spanish, French, and many other languages.
- ✗
Cohere embed-english-v3.0
Why it's wrong here
This model only handles English, not Spanish or French.
Go deeper
Related to this question
About these practice questions
Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 1Z0-1127-25 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127-25 exam.