1z0-1122-26日本語版 & 1z0-1122-26日本語版復習指南

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Intro to ML Foundations15%- Discuss Reinforcement Learning Fundamentals
- Discuss Unsupervised Learning Fundamentals
- Explain Machine Learning Basics
- Discuss Supervised Learning Fundamentals
  • 1. Classification
    • 2. Regression
      Topic 2: Get started with OCI AI Portfolio15%- Discuss OCI AI Infrastructure Overview
      - Explain Responsible AI
      - Discuss OCI AI Services Overview
      - Discuss OCI ML Services Overview
      Topic 3: Intro to DL Foundations15%- Discuss Deep Learning Fundamentals
      - Explain Convolutional Models (CNN)
      - Explain Sequence Models (RNN and LSTM)
      Topic 4: Intro to OCI AI Services20%- OCI Language
      - OCI Document Understanding
      - OCI Vision
      - OCI Speech
      Topic 5: Intro to Generative AI and LLMs15%- Explain LLM Fine Tuning
      - Discuss Generative AI Overview
      - Discuss Large Language Models Fundamentals
      - Explain Prompt Engineering and Instruction Tuning
      - Explain Transformers Fundamentals
      Topic 6: Intro to AI Foundations10%- Discuss AI Basics
      - Explain AI vs ML vs DL
      - Discuss AI Applications and Types of Data
      Topic 7: OCI Generative AI and Oracle 23ai10%- Describe OCI Generative AI Services
      - Discuss Oracle Vector Search
      - Discuss Autonomous Database Select AI

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      Oracle Cloud Infrastructure 2026 AI Foundations Associate 認定 1z0-1122-26 試験問題 (Q37-Q42):

      質問 # 37
      Which capability is supported by Oracle Cloud Infrastructure Language service?

      正解：C

      解説：
      Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.


      質問 # 38
      What would you use Oracle AI Vector Search for?

      正解：A

      解説：
      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 .


      質問 # 39
      What are Convolutional Neural Networks (CNNs) primarily used for?

      正解：A

      解説：
      Convolutional Neural Networks (CNNs) are primarily used for image classification and other tasks involving spatial data. CNNs are particularly effective at recognizing patterns in images due to their ability to detect features such as edges, textures, and shapes across multiple layers of convolutional filters. This makes them the model of choice for tasks such as object recognition, image segmentation, and facial recognition.
      CNNs are also used in other domains like video analysis and medical image processing, but their primary application remains in image classification.


      質問 # 40
      What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

      正解：B

      解説：
      The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.


      質問 # 41
      You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

      正解：C

      解説：
      For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the " Speech " service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


      質問 # 42
      ......

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