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 1z0-1127-25 Dumps with Practice Exam Questions Answers

Questions: 88 Questions and Answers With Step-by-Step Explanation

Last Update: Jun 9, 2025

1z0-1127-25 Question Includes: Single Choice Questions: 88,

1z0-1127-25 Questions and Answers

Question # 1

How does the structure of vector databases differ from traditional relational databases?

A.

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

B.

It is not optimized for high-dimensional spaces.

C.

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

D.

It uses simple row-based data storage.

Question # 2

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

Question # 3

What issue might arise from using small datasets with the Vanilla fine-tuning method in the OCI Generative AI service?

A.

Overfitting

B.

Underfitting

C.

Data Leakage

D.

Model Drift

Question # 4

Which statement best describes the role of encoder and decoder models in natural language processing?

A.

Encoder models and decoder models both convert sequences of words into vector representations without generating new text.

B.

Encoder models take a sequence of words and predict the next word in the sequence, whereas decoder models convert a sequence of words into a numerical representation.

C.

Encoder models convert a sequence of words into a vector representation, and decoder models take this vector representation to generate a sequence of words.

D.

Encoder models are used only for numerical calculations, whereas decoder models are used to interpret the calculated numerical values back into text.

Question # 5

How does the structure of vector databases differ from traditional relational databases?

A.

It stores data in a linear or tabular format.

B.

It is not optimized for high-dimensional spaces.

C.

It uses simple row-based data storage.

D.

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

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