FREE PDF 2025 ORACLE ACCURATE 1Z0-1122-25: ORACLE CLOUD INFRASTRUCTURE 2025 AI FOUNDATIONS ASSOCIATE PRACTICE EXAM QUESTIONS

Free PDF 2025 Oracle Accurate 1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Practice Exam Questions

Free PDF 2025 Oracle Accurate 1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Practice Exam Questions

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Oracle 1Z0-1122-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Intro to DL Foundations: This section assesses the expertise of Deep Learning Engineers in understanding deep learning frameworks and architectures. It covers fundamental concepts of deep learning, introduces convolutional neural networks (CNN) for image processing, and explores sequence models like recurrent neural networks (RNN) and long short-term memory (LSTM) networks for handling sequential data.
Topic 4
  • OCI Generative AI and Oracle 23ai: This section evaluates the skills of Cloud AI Architects in utilizing Oracle’s generative AI capabilities. It includes a deep dive into OCI Generative AI services, Autonomous Database Select AI for enhanced data intelligence and Oracle Vector Search for efficient information retrieval in AI-driven applications.
Topic 5
  • Intro to ML Foundations: This section evaluates the knowledge of Machine Learning Engineers in understanding machine learning principles and methodologies. It explores the basics of supervised learning, focusing on regression and classification techniques, along with unsupervised learning methods such as clustering and anomaly detection. It also introduces reinforcement learning fundamentals, helping professionals grasp the different approaches used to train AI models.

Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which is NOT a capability of OCI Vision's image analysis?

  • A. Locating and extracting text in images
  • B. Object detection with bounding boxes
  • C. Assigning classification labels to images
  • D. Translating text in images to another language

Answer: D

Explanation:
OCI Vision's image analysis capabilities include locating and extracting text from images, assigning classification labels to images, and detecting objects with bounding boxes. However, translating text in images to another language is not a capability of OCI Vision's image analysis. This functionality typically requires an additional layer of processing, such as integration with a language translation service, which is beyond the scope of OCI Vision's core image analysis features.
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NEW QUESTION # 21
How does AI enhance human efforts?

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

Answer: A

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 # 22
Which feature is NOT available as part of OCI Speech capabilities?

  • A. Provides timestamped, grammatically accurate transcriptions
  • B. Uses extensive data science experience to operate
  • C. Supports multiple languages including English, Spanish, and Portuguese
  • D. Transcribes audio and video files into text

Answer: B

Explanation:
OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.


NEW QUESTION # 23
What is the benefit of using embedding models in OCI Generative AI service?

  • A. They facilitate semantic searches.
  • B. They enable creating detailed graphics.
  • C. They simplify managing databases.
  • D. They optimize the use of computational resources.

Answer: A

Explanation:
Embedding models in the OCI Generative AI service are designed to represent text, phrases, or other data types in a dense vector space, where semantically similar items are located closer to each other. This representation enables more effective semantic searches, where the goal is to retrieve information based on the meaning and context of the query, rather than just exact keyword matches.
The benefit of using embedding models is that they allow for more nuanced and contextually relevant searches. For example, if a user searches for "financial reports," an embedding model can understand that "quarterly earnings" is semantically related, even if the exact phrase does not appear in the document. This capability greatly enhances the accuracy and relevance of search results, making it a powerful tool for handling large and diverse datasets .


NEW QUESTION # 24
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

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 # 25
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