[Jan-2025 Newly Released] 1z0-1127-24 Exam Questions For You To Pass [Q21-Q37]

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[Jan-2025 Newly Released] 1z0-1127-24 Exam Questions For You To Pass

Oracle 1z0-1127-24 Exam: Basic Questions With Answers

NEW QUESTION # 21
How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?

  • A. Stored in Object Storage encrypted by default
  • B. Stored in Key Management service
  • C. Stored in an unencrypted form in Object Storage
  • D. Shared among multiple customers for efficiency

Answer: A


NEW QUESTION # 22
What is the primary function of the "temperature" parameter in the OCI Generative AI Generation models?

  • A. Specifies a string that tells the model to stop generating more content
  • B. Controls the randomness of the model's output, affecting its creativity
  • C. Determines the maximum number of tokens the model can generate per response
  • D. Assigns a penalty to tokens that have already appeared in the preceding text

Answer: B


NEW QUESTION # 23
Which is NOT a built-in memory type in LangChain?

  • A. Conversation Buffer Memory
  • B. Conversation Summary Memory
  • C. Conversation ImgeMemory
  • D. Conversation Token Buffer Memory

Answer: C


NEW QUESTION # 24
Which statement is true about the "Top p" parameter of the OCI Generative AI Generation models?

  • A. Top p determines the maximum number of tokens per response.
  • B. Top p assigns penalties to frequently occurring tokens.
  • C. Top p selects tokens from the "Top k' tokens sorted by probability.
  • D. Top p limits token selection based on the sum of their probabilities.

Answer: D


NEW QUESTION # 25
Which is NOT a category of pertained foundational models available in the OCI Generative AI service?

  • A. Embedding models
  • B. Translation models
  • C. Summarization models
  • D. Generation models

Answer: B


NEW QUESTION # 26
An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?

  • A. A Large Language Model based agent that focuses on generating textual responses
  • B. A Retrieval Augmented Generation (RAG) model that uses text as input and output
  • C. A language model that operates on a token-by-token output basis
  • D. A diffusion model that specializes in producing complex outputs.

Answer: B


NEW QUESTION # 27
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training dat a. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?

  • A. 40 unit hours
  • B. 10 unit hours
  • C. 15 unit hours
  • D. 30 unit hours

Answer: B


NEW QUESTION # 28
When should you use the T-Few fine-tuning method for training a model?

  • A. For models that require their own hosting dedicated Al duster
  • B. For data sets with a few thousand samples or less
  • C. For complicated semantical undemanding improvement
  • D. For data sets with hundreds of thousands to millions of samples

Answer: D


NEW QUESTION # 29
What distinguishes the Cohere Embed v3 model from its predecessor in the OCI Generative AI service?

  • A. Support for tokenizing longer sentences
  • B. Improved retrievals for Retrieval Augmented Generation (RAG) systems
  • C. Capacity to translate text in over u languages
  • D. Emphasis on syntactic clustering of word embedding's

Answer: B


NEW QUESTION # 30
Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

  • A. Encoder-decoder
  • B. Retriever
  • C. Generator
  • D. Ranker

Answer: D


NEW QUESTION # 31
In LangChain, which retriever search type is used to balance between relevancy and diversity?

  • A. similarity
  • B. similarity_score_threshold
  • C. top k
  • D. mmr

Answer: A


NEW QUESTION # 32
Given the following code: chain = prompt |11m

  • A. Which statement is true about LangChain Expression language (ICED?
  • B. LCEL is a programming language used to write documentation for LangChain.
  • C. LCEL is a declarative and preferred way to compose chains together.
  • D. LCEL is a legacy method for creating chains in LangChain

Answer: B


NEW QUESTION # 33
What is the primary purpose of LangSmith Tracing?

  • A. To monitor the performance of language models
  • B. To generate test cases for language models
  • C. To analyze the reasoning process of language
  • D. To debug issues in language model outputs

Answer: C


NEW QUESTION # 34
What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

  • A. It com rob the randomness of the model* output, affecting its creativity.
  • B. It determines the maximum number of tokens the model can generate per response.
  • C. It assigns a penalty to frequently occurring tokens to reduce repetitive text.
  • D. It specifies a string that tells the model to stop generating more content

Answer: D


NEW QUESTION # 35
Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?

  • A. They increase the cost due to the need for real- time updates.
  • B. They require frequent manual updates, which increase operational costs.
  • C. They are more expensive but provide higher quality data.
  • D. They offer real-time updated knowledge bases and are cheaper than fine-tuned LLMs.

Answer: D


NEW QUESTION # 36
How does the utilization of T-Few transformer layers contribute to the efficiency of the fine-tuning process?

  • A. By excluding transformer layers from the fine-tuning process entirely
  • B. By incorporating additional layers to the base model
  • C. By restricting updates to only a specific croup of transformer Layers
  • D. By allowing updates across all layers of the model

Answer: C


NEW QUESTION # 37
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