[2025年12月]更新の1Z0-1122-25試験資料Oracle学習ガイド [Q18-Q35]

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[2025年12月]更新の1Z0-1122-25試験資料Oracle学習ガイド

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Oracle 1Z0-1122-25 認定試験の出題範囲：

トピック	出題範囲
トピック 1	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.
トピック 2	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.
トピック 3	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.
トピック 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.
トピック 5	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.
トピック 6	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.

質問18、 How is “Prompt Engineering” different from “Fine-tuning” in the context of Large Language Models (LLMs)?

Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.

Both involve retraining the model, but Prompt Engineering does it more often.

Prompt Engineering adjusts the model’s parameters, while Fine-tuning crafts input prompts.

Prompt Engineering modifies training data, while Fine-tuning alters the model’s structure.

質問19、 You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients’ illnesses upon admission to a hospital. The goal is to classify patients into three categories – Low Risk, Moderate Risk, and High Risk – based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?

Regression

Multi-Class Classification

Binary Classification

Clustering

質問20、 What is the purpose of Attention Mechanism in Transformer architecture?

Weigh the importance of different words within a sequence and understand the context.

Convert tokens into numerical forms (vectors) that the model can understand.

Break down a sentence into smaller pieces called tokens.

Apply a specific function to each word individually.

質問21、 What is the purpose of the model catalog in OCI Data Science?

To create and switch between different environments

To provide a preinstalled open source library

To store, track, share, and manage models

To deploy models as HTTP endpoints

質問22、 What can Oracle Cloud Infrastructure Document Understanding NOT do?

Generate transcript from documents

Extract tables from documents

Classify documents into different types

Extract text from documents

質問23、 What distinguishes Generative AI from other types of AI?

Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.

Generative AI focuses on making decisions based on user interactions.

Generative AI involves training models to perform tasks without human intervention.

Generative AI uses algorithms to predict outcomes based on past data.

質問24、 Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

Reinforcement learning

Unsupervised learning

Active learning

Supervised learning

質問25、 Which is NOT a capability of OCI Vision’s image analysis?

Locating and extracting text in images

Translating text in images to another language

Assigning classification labels to images

Object detection with bounding boxes

質問26、 Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

Embedding models

Translation models

Chat models

Generation models

質問27、 What is the primary purpose of reinforcement learning?

Finding relationships within data sets

Identifying patterns in data

Making predictions from labeled data

Learning from outcomes to make decisions

質問28、 Which feature is NOT available as part of OCI Speech capabilities?

Uses extensive data science experience to operate

Provides timestamped, grammatically accurate transcriptions

Transcribes audio and video files into text

Supports multiple languages including English, Spanish, and Portuguese

質問29、 What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

Capturing the internal representation of the raw image data

Providing labels for the output neurons

Directly predicting the final output

Storing the input pixel values

質問30、 What would you use Oracle AI Vector Search for?

Store business data in a cloud database.

Manage database security protocols.

Query data based on keywords.

Query data based on semantics.

質問31、 What is the difference between classification and regression in Supervised Machine Learning?

Classification and regression both assign data points to categories.

Classification predicts continuous values, whereas regression assigns data points to categories.

Classification assigns data points to categories, whereas regression predicts continuous values.

Classification and regression both predict continuous values.

質問32、 How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

By analyzing sentiment in text documents

By transcribing spoken language

By automating data extraction from documents

By generating lifelike speech from documents

質問33、 Which feature of OCI Speech helps make transcriptions easier to read and understand?

Audio tuning

Timestamping

Profanity filtering

Text normalization

質問34、 Which capability is supported by Oracle Cloud Infrastructure Language service?

Converting text into images

Translating text into speech

Analyzing text to extract structured information like sentiment or entities

Detecting objects and scenes in images

1Z0-1122-25試験問題と解答：https://www.passtest.jp/Oracle/1Z0-1122-25-shiken.html

[2025年12月]更新の1Z0-1122-25試験資料Oracle学習ガイド [Q18-Q35]

Oracle 1Z0-1122-25 認定試験の出題範囲：

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[2025年12月]更新の1Z0-1122-25試験資料Oracle学習ガイド [Q18-Q35]

Oracle 1Z0-1122-25 認定試験の出題範囲：

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