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Online 1z0-1122-24 Bootcamps, 1z0-1122-24 Exams Torrent

Online 1z0-1122-24 Bootcamps, 1z0-1122-24 Exams Torrent

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Oracle 1z0-1122-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.
Topic 4
  • 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.

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q34-Q39):

NEW QUESTION # 34
How does AI enhance human efforts?

  • A. By completely replacing human workers in all tasks
  • B. By processing data at a speed and effectiveness far beyond human capability
  • C. By deleting data humans need to handle
  • D. By increasing the physical strength of humans

Answer: B

Explanation:
AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI's ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.


NEW QUESTION # 35
What key objective does machine learning strive to achieve?

  • A. Improving computer hardware
  • B. Creating algorithms to solve complex problems
  • C. Enabling computers to learn and improve from experience
  • D. Explicitly programming computers

Answer: C

Explanation:
The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task. As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.


NEW QUESTION # 36
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

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

Answer: C

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 # 37
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

  • A. By automating data extraction from documents
  • B. By analyzing sentiment in text documents
  • C. By transcribing spoken language
  • D. By generating lifelike speech from documents

Answer: A

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 # 38
What is "in-context learning" in the realm of Large Language Models (LLMs)?

  • A. Training a model on a diverse range of tasks
  • B. Providing a few examples of a target task via the input prompt
  • C. Teaching a model through zero-shot learning
  • D. Modifying the behavior of a pretrained LLM permanently

Answer: B

Explanation:
"In-context learning" in the realm of Large Language Models (LLMs) refers to the ability of these models to learn and adapt to a specific task by being provided with a few examples of that task within the input prompt. This approach allows the model to understand the desired pattern or structure from the given examples and apply it to generate the correct outputs for new, similar inputs. In-context learning is powerful because it does not require retraining the model; instead, it uses the examples provided within the context of the interaction to guide its behavior.


NEW QUESTION # 39
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