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Oracle 1z0-1127-24 Dumps

Exam Code:
1z0-1127-24
Exam Name:
Oracle Cloud Infrastructure 2024 Generative AI Professional
Last Update: Sep 10, 2024
40 Questions with Explanation
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The Oracle 1Z0-1127-24 exam, also known as the Oracle Cloud Infrastructure 2024 Generative AI Professional, tests a candidate's knowledge and skills in using Oracle Cloud Infrastructure for generative AI applications. It includes topics like large language models (LLMs), prompt engineering, and deploying AI applications on OCI?.

With an Oracle 1Z0-1127-24 certification, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and Oracle Cloud Infrastructure Specialist. These roles typically involve developing and deploying AI applications on Oracle Cloud Infrastructure.

The salary for professionals with an Oracle 1Z0-1127-24 certification can vary based on location, experience, and specific job role. On average, AI Engineers and Machine Learning Engineers can expect to earn between $100,000 and $150,000 annually, with experienced professionals potentially earning more?.

Obtaining the Oracle 1Z0-1127-24 certification demonstrates your expertise in Oracle Cloud Infrastructure and generative AI technologies, enhancing your professional credibility and making you a more attractive candidate to employers. It can lead to better job opportunities, higher earning potential, and the ability to contribute more effectively to AI projects.

The Oracle 1Z0-1127-24 certification can significantly impact your career growth by providing you with the knowledge and credentials needed to advance to higher-level positions in AI and cloud computing. It opens up opportunities for roles in consulting, project management, and senior technical positions within organizations that utilize Oracle Cloud Infrastructure?.

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Oracle Cloud Infrastructure 2024 Generative AI Professional Questions and Answers

Questions 1

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

Options:

A.

Overfilling

B.

Underfitting

C.

Data Leakage

D.

Model Drift

Questions 2

Which is NOT a typical use case for LangSmith Evaluators?

Options:

A.

Measuring coherence of generated text

B.

Aliening code readability

C.

Evaluating factual accuracy of outputs

D.

Detecting bias or toxicity

Questions 3

Which is NOT a category of pertained foundational models available in the OCI Generative AI service?

Options:

A.

Translation models

B.

Summarization models

C.

Generation models

D.

Embedding models