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Oracle 1z0-1122-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Generative AI and Large Language Models	15%	- Generative AI concepts 1. Transformers, prompt engineering, and fine-tuning 2. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs
Topic 2: OCI Generative AI and Oracle 23ai	10%	- OCI Generative AI Service features 1. Generative AI capabilities on OCI 2. Oracle 23ai Vector Database integration
Topic 3: OCI AI Portfolio	15%	- Overview of OCI AI offerings 1. OCI Data Science and GPU-based compute infrastructure 2. AI Services, ML Services, and AI Infrastructure overview
Topic 4: Deep Learning Foundations	15%	- Deep Learning and neural networks 1. Recurrent Neural Networks, LSTMs, and sequence models 2. Convolutional Neural Networks (CNN) architectures
Topic 5: AI Foundations	10%	- Artificial Intelligence basics and terminology 1. AI, Machine Learning, and Deep Learning relationship 2. AI applications, use cases, and responsible AI principles
Topic 6: Introduction to OCI AI Services	20%	- OCI AI Service APIs 1. OCI Language, Vision, Speech, and Document Understanding services 2. OCI Select AI and AI service use cases
Topic 7: Machine Learning Foundations	15%	- Machine Learning fundamentals 1. Unsupervised learning: clustering and dimensionality reduction 2. Reinforcement learning basics and model evaluation concepts 3. Supervised learning: regression and classification

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Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q21-Q26):

NEW QUESTION # 21
Which feature is NOT supported as part of the OCI Language service ' s pretrained language processing capabilities?

A. Sentiment Analysis
B. Language Detection
C. Text Classification
D. Text Generation

Answer: D

Explanation:
The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.

NEW QUESTION # 22
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

A. It provides a cost-effective solution for simple AI tasks.
B. It delivers exceptional performance and scalability for complex AI tasks.
C. It is ideal for tasks such as text-to-speech conversion.
D. It offers seamless integration with social media platforms.

Answer: B

Explanation:
Oracle Cloud Infrastructure Supercluster is designed to deliver exceptional performance and scalability for complex AI tasks. The primary benefit of this infrastructure is its ability to handle demanding AI workloads, offering high-performance computing (HPC) capabilities that are crucial for training large-scale AI models and processing massive datasets. The architecture of the Supercluster ensures low-latency networking, efficient resource allocation, and high-throughput processing, making it ideal for AI tasks that require significant computational power, such as deep learning, data analytics, and large-scale simulations.

NEW QUESTION # 23
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 transcribing spoken language
D. By analyzing sentiment in text 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 # 24
Which feature of OCI Speech helps make transcriptions easier to read and understand?

A. Profanity filtering
B. Text normalization
C. Audio tuning
D. Timestamping

Answer: B

Explanation:
The text normalization feature of OCI Speech helps make transcriptions easier to read and understand by converting spoken language into a more standardized and grammatically correct format. This process includes correcting grammar, punctuation, and formatting, ensuring that the transcribed text is clear, accurate, and suitable for various use cases. Text normalization enhances the usability of transcriptions, making them more accessible and easier to process in downstream applications.
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NEW QUESTION # 25
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

A. It provides a cost-effective solution for simple AI tasks.
B. It delivers exceptional performance and scalability for complex AI tasks.
C. It is ideal for tasks such as text-to-speech conversion.
D. It offers seamless integration with social media platforms.

Answer: B

NEW QUESTION # 26
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