1Z0-1127-25 OCI Generative AI Service Practice Question
A company needs to generate vector embeddings for a multilingual document set to support semantic search across English and French documents. 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
The embed-multilingual-v3.0 model supports multiple languages, including English and French.
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 embed-english-v3.0
Why it's wrong here
This model is English-only, not suitable for French documents.
- ✗
Cohere Command R
Why it's wrong here
Command R is a generative model, not an embedding model.
- ✓
Cohere embed-multilingual-v3.0
Why this is correct
This model supports multiple languages including French and English.
- ✗
Meta Llama 3 8B
Why it's wrong here
Llama 3 is a generative LLM, not an embedding model.
Go deeper
Related to this question
About these practice questions
This 1Z0-1127-25 question is part of Courseiva's 768-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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.