Higher Test Marks with Free Online 1Z0-1127-25 Exam Practice

Assess the CertsIQ’s updated 1Z0-1127-25 exam questions for free online practice of your Oracle Cloud Infrastructure 2025 Generative AI Professional test. Our Oracle Generative Foundations Associate 1Z0 1127 25 dumps questions will enhance your chances of passing the Oracle Cloud Infrastructure certification exam with higher marks.

Question 1

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

Options :

A : similarity_score_threshold

B : mmr

C : similarity

D : top k

Answer: D

Question 2

Which of the following is NOT a common application of Large Language Models (LLMs)?

Options :

A : Chatbots and virtual assistants

B : Machine translation of languages

C : Anomaly detection in network traffic

D : Content creation and text summarization

Answer: C

Question 3

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

Options :

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

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

Options :

A : Model Drift

B : Data Leakage

C : Underfitting

D : Overfitting

Answer: C

Question 5

Which is a key advantage of using T-Few over Vanilla fine-tuning in the OCI Generative AI service?

Options :

A : Increased model interpretability

B : Enhanced generalization to unseen data

C : Faster training time and lower cost

D : Reduced model complexity

Answer: C