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Free Oracle 1Z0-1127-24 Exam Braindumps (page: 2)

Page 2 of 11
PDF with 64 Questions

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

  1. top k
  2. mmr
  3. similarity_score_threshold
  4. similarity

Answer(s): D



What does a dedicated RDMA cluster network do during model fine-tuning and inference?

  1. It leads to higher latency in model inference.
  2. It enables the deployment of multiple fine-tuned models.
  3. It limits the number of fine-tuned model deployable on the same GPU cluster.
  4. It increases G PU memory requirements for model deployment.

Answer(s): B



Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?

  1. Hosts the training data for fine-tuning custom model
  2. Evaluates the performance metrics of the custom model
  3. Serves as a designated point for user requests and model responses
  4. Updates the weights of the base model during the fine-tuning process

Answer(s): A



Which is a distinguishing feature of "Parameter-Efficient Fine-tuning (PEFT)" as opposed to classic Tine- tuning" in Large Language Model training?

  1. PEFT involves only a few or new parameters and uses labeled, task-specific data.
  2. PEFT modifies all parameters and uses unlabeled, task-agnostic data.
  3. PEFT does not modify any parameters but uses soft prompting with unlabeled data. PEFT modifies
  4. PEFT parameters and b typically used when no training data exists.

Answer(s): A






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