Oracle 1Z0-1127-25 Quiz 1 Topic 1 Questions 1-5

Question: 1

Which is NOT a typical use case for LangSmith Evaluators?

AMeasuring coherence of generated text

BAligning code readability

CEvaluating factual accuracy of outputs

DDetecting bias or toxicity

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Question: 2

Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?

AUpdates the weights of the base model during the fine-tuning process

BServes as a designated point for user requests and model responses

CEvaluates the performance metrics of the custom models

DHosts the training data for fine-tuning custom models

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Question: 3

Which is a key characteristic of the annotation process used in T-Few fine-tuning?

AT-Few fine-tuning uses annotated data to adjust a fraction of model weights.

BT-Few fine-tuning requires manual annotation of input-output pairs.

CT-Few fine-tuning involves updating the weights of all layers in the model.

DT-Few fine-tuning relies on unsupervised learning techniques for annotation.

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Question: 4

What is the purpose of embeddings in natural language processing?

ATo increase the complexity and size of text data

BTo translate text into a different language

CTo create numerical representations of text that capture the meaning and relationships between words or phrases

DTo compress text data into smaller files for storage

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Question: 5

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

AGPUs are shared with other customers to maximize resource utilization.

BThe GPUs allocated for a customer's generative AI tasks are isolated from other GPUs.

CGPUs are used exclusively for storing large datasets, not for computation.

DEach customer's GPUs are connected via a public Internet network for ease of access.

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Oracle 1Z0-1127-25 Quiz:1 Topic:1 Questions:1-5