최신 1Z0-1127-25 무료덤프 - Oracle Cloud Infrastructure 2025 Generative AI Professional

A. It uses simple row-based data storage.

B. It is based on distances and similarities in a vector space.

C. It is not optimized for high-dimensional spaces.

D. A vector database stores data in a linear or tabular format.

A. It eliminates the need for any training or computational resources.

B. It provides examples in the prompt to guide the LLM to better performance with no training cost.

C. It significantly reduces the latency for each model request.

D. It allows the LLM to access a larger dataset.

A. Linear relationships; they simplify the modeling process

B. Hierarchical relationships; important for structuring database queries

C. Temporal relationships; necessary for predicting future linguistic trends

D. Semantic relationships; crucial for understanding context and generating precise language

A. After user input but before chain execution, and again after core logic but before output.

B. Continuously throughout the entire chain execution process.

C. Before user input and after chain execution.

D. Only after the output has been generated.

A. To compress text data into smaller files for storage

B. To increase the complexity and size of text data

C. To translate text into a different language

D. To create numerical representations of text that capture the meaning and relationships between words or phrases

A. For complicated semantic understanding improvement

B. For models that require their own hosting dedicated AI cluster

C. For datasets with a few thousand samples or less

D. For datasets with hundreds of thousands to millions of samples

A. It is based on the date and author of the content.

B. It depends on the number of times keywords appear in the content.

C. It involves understanding the intent and context of the search.

D. It relies solely on matching exact keywords in the content.

A. Loss measures the total number of predictions made by a model.

B. Loss indicates how good a prediction is, and it should increase as the model improves.

C. Loss is a measure that indicates how wrong the model's predictions are.

D. Loss describes the accuracy of the right predictions rather than the incorrect ones.

A. When you want to optimize the model without any instructions

B. When the LLM already understands the topics necessary for text generation

C. When the LLM requires access to the latest data for generating outputs

D. When the LLM does not perform well on a task and the data for prompt engineering is too large