1Z0-1122-25 TEST DUMP, 1Z0-1122-25 RELIABLE TEST BOOK

1Z0-1122-25 Test Dump, 1Z0-1122-25 Reliable Test Book

1Z0-1122-25 Test Dump, 1Z0-1122-25 Reliable Test Book

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Oracle 1Z0-1122-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Intro to AI Foundations: This section of the exam measures the skills of AI Practitioners and Data Analysts in understanding the fundamentals of artificial intelligence. It covers key concepts, AI applications across industries, and the types of data used in AI models. It also explains the differences between artificial intelligence, machine learning, and deep learning, providing clarity on how these technologies interact and complement each other.
Topic 2
  • Get started with OCI AI Portfolio: This section measures the proficiency of Cloud AI Specialists in exploring Oracle Cloud Infrastructure (OCI) AI services. It provides an overview of OCI AI and machine learning services, details AI infrastructure capabilities and explains responsible AI principles to ensure ethical and transparent AI development.
Topic 3
  • Intro to Generative AI & LLMs: This section tests the abilities of AI Developers to understand generative AI and large language models. It introduces the principles of generative AI, explains the fundamentals of large language models (LLMs), and discusses the core workings of transformers, prompt engineering, instruction tuning, and LLM fine-tuning for optimizing AI-generated content.
Topic 4
  • Intro to OCI AI Services: This section tests the expertise of AI Solutions Engineers in working with OCI AI services and related APIs. It provides insights into key AI services such as language processing, computer vision, document understanding, and speech recognition, allowing professionals to leverage Oracle’s AI ecosystem for building intelligent applications.

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100% Pass Quiz 2025 Fantastic 1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Test Dump

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q21-Q26):

NEW QUESTION # 21
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

Answer: A

Explanation:
Explanation:


NEW QUESTION # 22
What would you use Oracle AI Vector Search for?

  • A. Store business data in a cloud database.
  • B. Manage database security protocols.
  • C. Query data based on semantics.
  • D. Query data based on keywords.

Answer: C

Explanation:
Oracle AI Vector Search is designed to query data based on semantics rather than just keywords. This allows for more nuanced and contextually relevant searches by understanding the meaning behind the words used in a query. Vector search represents data in a high-dimensional vector space, where semantically similar items are placed closer together. This capability makes it particularly powerful for applications such as recommendation systems, natural language processing, and information retrieval where the meaning and context of the data are crucial .


NEW QUESTION # 23
What is the purpose of the model catalog in OCI Data Science?

  • A. To store, track, share, and manage models
  • B. To provide a preinstalled open source library
  • C. To create and switch between different environments
  • D. To deploy models as HTTP endpoints

Answer: A

Explanation:
The primary purpose of the model catalog in OCI Data Science is to store, track, share, and manage machine learning models. This functionality is essential for maintaining an organized repository where data scientists and developers can collaborate on models, monitor their performance, and manage their lifecycle. The model catalog also facilitates model versioning, ensuring that the most recent and effective models are available for deployment. This capability is crucial in a collaborative environment where multiple stakeholders need access to the latest model versions for testing, evaluation, and deployment.


NEW QUESTION # 24
How does AI enhance human efforts?

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

Answer: D

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 # 25
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

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

Answer: A

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 # 26
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