Free Oracle 1Z0-1127-25 Exam Questions

Become Oracle Certified with updated 1Z0-1127-25 exam questions and correct answers

Page: 1 / 47

Total 234 Questions | Updated On: Jul 23, 2026

Add To Cart

Question 1

Which is NOT a built-in memory type in LangChain?

A : ConversationSummaryMemory

B : ConvorsationBufferMemory

C : ConversationTokenBufferMemory

D : ConvorsationImageMemory

Answer: D

Question 2

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 : Determines the maximum number of tokens the model can generate per response

C : Controls the randomness of the model’s output, affecting its creativity

D : Assigns a penalty to tokens that have already appeared in the preceding text

Answer: C

Question 3

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

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 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.

Answer: C

Question 4

When utilizing pre-trained models for text embedding in OCI Generative AI, what is the resulting output?

A : A human-readable summary of the key topics within the text.

B : A sentiment score indicating the overall positive or negative tone of the text.

C : A numerical representation capturing the semantic meaning of the text.

D : A classification label assigning the text to a predefined category.

Answer: C

Question 5

During LLM training, how does the backpropagation algorithm contribute to model improvement?

A : Manually correcting model outputs

B : Identifying patterns in the training data

C : Adjusting model weights to minimize errors

D : Preprocessing text data for training

Answer: C

Page: 1 / 47

Total 234 Questions | Updated On: Jul 23, 2026

Add To Cart