1Z0-1122-24 NEW BRAINDUMPS FILES | 1Z0-1122-24 LATEST TEST SIMULATOR

1z0-1122-24 New Braindumps Files | 1z0-1122-24 Latest Test Simulator

1z0-1122-24 New Braindumps Files | 1z0-1122-24 Latest Test Simulator

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Oracle 1z0-1122-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Intro to ML Foundations: This section covers Machine Learning (ML) which is a critical area within AI, and understanding its fundamentals is crucial for anyone interested in this field. The section covers delving into the basics of ML allowing for a better grasp of how machines learn from data.
Topic 2
  • OCI Generative AI and Oracle 23ai: This section covers CI Generative AI Services that are a key component of Oracle's AI offerings, and exploring these services provides a clear understanding of how Oracle supports generative AI applications.
Topic 3
  • Intro to OCI AI Services: This section is about exploring OCI AI Services and their related APIs, such as those for Language, Vision, Document Understanding, and Speech, which are essential for developers and businesses looking to integrate AI into their operations.
Topic 4
  • Intro to Generative AI & LLMs: This section is about covering generative AI which represents a powerful area of AI that involves creating new content or data. Exploring the overview of Generative AI helps in understanding its potential and applications.
Topic 5
  • Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.
Topic 6
  • Intro to DL Foundations: This section covers Deep Learning (DL) is a subset of ML that focuses on neural networks with many layers, and understanding its core concepts is vital for working with complex models.

Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q17-Q22):

NEW QUESTION # 17
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

Answer: D

Explanation:
Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.


NEW QUESTION # 18
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

  • A. Providing labels for the output neurons
  • B. Storing the input pixel values
  • C. Directly predicting the final output
  • D. Capturing the internal representation of the raw image data

Answer: D

Explanation:
In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.


NEW QUESTION # 19
What is the difference between classification and regression in Supervised Machine Learning?

  • A. Classification and regression both predict continuous values.
  • B. Classification predicts continuous values, whereas regression assigns data points to categories.
  • C. Classification assigns data points to categories, whereas regression predicts continuous values.
  • D. Classification and regression both assign data points to categories.

Answer: C

Explanation:
In supervised machine learning, the key difference between classification and regression lies in the nature of the output they predict. Classification algorithms are used to assign data points to one of several predefined categories or classes, making it suitable for tasks like spam detection, where an email is classified as either "spam" or "not spam." On the other hand, regression algorithms predict continuous values, such as forecasting the price of a house based on features like size, location, and number of rooms. While classification answers "which category?" regression answers "how much?" or "what value?".


NEW QUESTION # 20
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

  • A. Language
  • B. Vision
  • C. Speech
  • D. Document Understanding

Answer: C

Explanation:
For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the "Speech" service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


NEW QUESTION # 21
You are working on a multilingual public announcement system. Which AI task will you use to implement it?

  • A. Text summarization
  • B. Text to speech
  • C. Audio recording
  • D. Speech recognition

Answer: B

Explanation:
For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .


NEW QUESTION # 22
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