Oracle 1Z0-1127-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1127-25 Online Questions & Answers

• Question 71:

  Which is a distinctive feature of GPUs in Dedicated AI Clusters used for generative AI tasks?

  A. GPUs are shared with other customers to maximize resource utilization.
  B. The GPUs allocated for a customer's generative AI tasks are isolated from other GPUs.
  C. GPUs are used exclusively for storing large datasets, not for computation.
  D. Each customer's GPUs are connected via a public Internet network for ease of access.
  B. The GPUs allocated for a customer's generative AI tasks are isolated from other GPUs.

• Question 72:

  Which technique involves prompting the Large Language Model (LLM) to emit intermediate reasoning steps as part of its response?

  A. Step-Back Prompting
  B. Chain-of-Thought
  C. Least-to-Most Prompting
  D. In-Context Learning
  B. Chain-of-Thought

• Question 73:

  What is the purpose of Retrieval Augmented Generation (RAG) in text generation?

  A. To generate text based only on the model's internal knowledge without external data
  B. To generate text using extra information obtained from an external data source
  C. To store text in an external database without using it for generation
  D. To retrieve text from an external source and present it without any modifications
  B. To generate text using extra information obtained from an external data source

• Question 74:

  What is LCEL in the context of LangChain Chains?

  A. A programming language used to write documentation for LangChain
  B. A legacy method for creating chains in LangChain
  C. A declarative way to compose chains together using LangChain Expression Language
  D. An older Python library for building Large Language Models
  C. A declarative way to compose chains together using LangChain Expression Language

• Question 75:

  Which is a key advantage of using T-Few over Vanilla fine-tuning in the OCI Generative AI service?

  A. Reduced model complexity
  B. Enhanced generalization to unseen data
  C. Increased model interpretability
  D. Faster training time and lower cost
  D. Faster training time and lower cost

• Question 76:

  Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

  A. "Top k" and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.
  B. "Top k" selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the top tokens.
  C. "Top k" considers the sum of probabilities of the top tokens, whereas "Top p" selects from the "Top k" tokens sorted by probability.
  D. "Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.
  B. "Top k" selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the top tokens.

• Question 77:

  What do embeddings in Large Language Models (LLMs) represent?

  A. The color and size of the font in textual data
  B. The frequency of each word or pixel in the data
  C. The semantic content of data in high-dimensional vectors
  D. The grammatical structure of sentences in the data
  C. The semantic content of data in high-dimensional vectors

• Question 78:

  When does a chain typically interact with memory in a run within the LangChain framework?

  A. Only after the output has been generated.
  B. Before user input and after chain execution.
  C. After user input but before chain execution, and again after core logic but before output.
  D. Continuously throughout the entire chain execution process.
  C. After user input but before chain execution, and again after core logic but before output.

• Question 79:

  Which is NOT a typical use case for LangSmith Evaluators?

  A. Measuring coherence of generated text
  B. Aligning code readability
  C. Evaluating factual accuracy of outputs
  D. Detecting bias or toxicity
  B. Aligning code readability

• Question 80:

  Which LangChain component is responsible for generating the linguistic output in a chatbot system?

  A. Document Loaders
  B. Vector Stores
  C. LangChain Application
  D. LLMs
  D. LLMs