1Z0-1122-25 試験問題を無料オンラインアクセス

How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

• A.They prioritize larger model sizes to achieve better performance.
• B.They ensure that the model size, training time, and data size are balanced for optimal results.
• C.They focus on increasing the number of tokens while keeping the model size constant.
• D.They disregard model size and prioritize high-quality data only.

How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

• A.By analyzing sentiment in text documents
• B.By generating lifelike speech from documents
• C.By transcribing spoken language
• D.By automating data extraction from documents

Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?

• A.Text Generation
• B.Text Classification
• C.Sentiment Analysis
• D.Language Detection

What feature of OCI Data Science provides an interactive coding environment for building and training models?

• A.Model catalog
• B.Accelerated Data Science (ADS) SDK
• C.Conda environment
• D.Notebook sessions

What is "in-context learning" in the realm of Large Language Models (LLMs)?

• A.Providing a few examples of a target task via the input prompt
• B.Modifying the behavior of a pretrained LLM permanently
• C.Teaching a model through zero-shot learning
• D.Training a model on a diverse range of tasks