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1z0-1122-24 Questions and Answers

Question # 6

Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

A.

DL is a subset of AI, and ML is a subset of DL.

B.

AI, ML, and DL are entirely separate fields with no overlap.

C.

ML is a subset of AI, and DL is a subset of ML.

D.

AI is a subset of DL, which is a subset of ML.

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Question # 7

Which AI domain can be employed for identifying patterns in images and extract relevant features?

A.

Anomaly Detection

B.

Speech Processing

C.

Natural Language Processing

D.

Computer Vision

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Question # 8

Which feature is NOT available as part of OCI Speech capabilities?

A.

Uses extensive data science experience to operate

B.

Provides timestamped, grammatically accurate transcriptions

C.

Transcribes audio and video files into text

D.

Supports multiple languages including English, Spanish, and Portuguese

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Question # 9

What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

A.

It delivers exceptional performance and scalability for complex AI tasks.

B.

It is ideal for tasks such as text-to-speech conversion.

C.

It offers seamless integration with social media platforms.

D.

It provides a cost-effective solution for simple AI tasks.

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Question # 10

How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

A.

By generating lifelike speech from documents

B.

By analyzing sentiment in text documents

C.

By transcribing spoken language

D.

By automating data extraction from documents

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Question # 11

Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

A.

It converts audio files into text.

B.

It enhances the visual quality of documents.

C.

It recognizes and extracts text from a document.

D.

It provides real-time translation of text.

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Question # 12

What role do Transformers perform in Large Language Models (LLMs)?

A.

Limit the ability of LLMs to handle large datasets by imposing strict memory constraints

B.

Manually engineer features in the data before training the model

C.

Provide a mechanism to process sequential data in parallel and capture long-range dependencies

D.

Image recognition tasks in LLMs

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