You are a data scientist; you use the Oracle Cloud Infrastructure (OCI) Language service to...

Detailed Answer in Step-by-Step Solution:

Objective: Identify custom model types for OCI Language.

Understand OCI Language: Focuses on text analysis.

Evaluate Options:

A: Image classification—Not text-based, incorrect.

B: Text classification, NER—Both text tasks—correct.

C: Sentiment, NER—Sentiment is pretrained, not custom.

D: Object detection—Image-based, incorrect.

Reasoning: B aligns with OCI Language’s text custom models.

Conclusion: B is correct.

OCI Language documentation states: “Custom models can be trained for text classification and Named Entity Recognition (NER) using your data.” Image tasks (A, D) are for Vision, and sentiment (C) is pretrained—only B fits OCI Language’s scope.

Oracle Cloud Infrastructure Language Documentation, "Custom Model Training".