1Z0-1127-25 OCI Generative AI Service Practice Question
A company needs to classify customer support tickets into 20 categories. They have a labeled dataset of 50,000 examples. They want to use OCI Generative AI Embedding API to generate embeddings, then train a classifier. Which input type should they use for the embedding API when processing the training examples?
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
✓
classification
For training a classifier, the 'classification' input type is optimized to generate embeddings that work well for classification tasks. Other types are for different use cases.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
search_query
Why it's wrong here
search_query is for query embeddings in search.
- ✗
clustering
Why it's wrong here
clustering is for grouping similar items, not for training a classifier.
- ✗
search_document
Why it's wrong here
search_document is for indexing documents in search; not optimal for classification.
- ✓
classification
Why this is correct
classification input type is designed to produce embeddings that improve classifier performance.
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