1Z0-1127-25 OCI Generative AI Service Practice Question
A developer is building a multilingual search application and needs to generate embeddings for user queries in multiple languages. Which two options are correct? (Select TWO)
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
✓
Use the embed-multilingual-v3.0 model
OCI Generative AI provides embed-multilingual-v3.0 for multilingual support. The input type 'search_query' is designed for query embeddings. Embed-english-v3.0 is English-only. 'search_document' is for documents, not queries. 'classification' is for classification tasks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the embed-english-v3.0 model
Why it's wrong here
This model is English-only, not suitable for multilingual queries.
- ✗
Set the input type to 'search_document'
Why it's wrong here
'search_document' is for indexing documents, not queries.
- ✓
Use the embed-multilingual-v3.0 model
Why this is correct
This model supports multiple languages for embedding.
- ✓
Set the input type to 'search_query'
Why this is correct
'search_query' is the appropriate input type for user queries in a search scenario.
- ✗
Set the input type to 'classification'
Why it's wrong here
'classification' is for text classification tasks.
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Senior Network & Security Engineer · founder of Courseiva
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