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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q42-Q47):

NEW QUESTION # 42
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 increasing the physical strength of humans
  • D. By deleting data humans need to handle

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 # 43
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

  • A. Analyzing historical data for unusual patterns
  • B. Generating realistic images from text
  • C. Detecting vehicle number plates to issue speed citations
  • D. Detecting and preventing fraud in financial transactions

Answer: C

Explanation:
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


NEW QUESTION # 44
Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

  • A. Supervised learning
  • B. Unsupervised learning
  • C. Reinforcement learning
  • D. Active learning

Answer: B

Explanation:
Unsupervised learning is a type of machine learning that focuses on understanding relationships within data without the need for labeled outcomes. Unlike supervised learning, which requires labeled data to train models to make predictions or classifications, unsupervised learning works with unlabeled data and aims to discover hidden patterns, groupings, or structures within the data.
Common applications of unsupervised learning include clustering, where the algorithm groups data points into clusters based on similarities, and association, where it identifies relationships between variables in the dataset. Since unsupervised learning does not predict outcomes but rather uncovers inherent structures, it is ideal for exploratory data analysis and discovering previously unknown patterns in data .


NEW QUESTION # 45
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 # 46
What distinguishes Generative AI from other types of AI?

  • A. Generative AI involves training models to perform tasks without human intervention.
  • B. Generative AI uses algorithms to predict outcomes based on past data.
  • C. Generative AI focuses on making decisions based on user interactions.
  • D. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.

Answer: D

Explanation:
Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.


NEW QUESTION # 47
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