1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Dumps & PassGuide 1Z0-1122-25 Examen

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Oracle 1Z0-1122-25 Prüfungsplan:

Thema	Einzelheiten
Thema 1	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.
Thema 2	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.
Thema 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.
Thema 4	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.
Thema 5	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.
Thema 6	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.

Oracle Cloud Infrastructure 2025 AI Foundations Associate 1Z0-1122-25 Prüfungsfragen mit Lösungen (Q21-Q26):

21. Frage
What does "fine-tuning" refer to in the context of OCI Generative AI service?

A. Encrypting the data for security reasons
B. Doubling the neural network layers
C. Upgrading the hardware of the AI clusters
D. Adjusting the model parameters to improve accuracy

Antwort: D

Begründung:
Fine-tuning in the context of the OCI Generative AI service refers to the process of adjusting the parameters of a pretrained model to better fit a specific task or dataset. This process involves further training the model on a smaller, task-specific dataset, allowing the model to refine its understanding and improve its performance on that specific task. Fine-tuning is essential for customizing the general capabilities of a pretrained model to meet the particular needs of a given application, resulting in more accurate and relevant outputs. It is distinct from other processes like encrypting data, upgrading hardware, or simply increasing the complexity of the model architecture.

22. Frage
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

A. They provide high performance compute resources for fine-tuning tasks.
B. They provide faster internet connection speeds.
C. They allow access to unlimited database resources.
D. They are free of charge for all users.

Antwort: A

Begründung:
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.

23. Frage
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

Antwort: B

Begründung:
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.

24. Frage
What can Oracle Cloud Infrastructure Document Understanding NOT do?

A. Classify documents into different types
B. Extract tables from documents
C. Extract text from documents
D. Generate transcript from documents

Antwort: D

Begründung:
Oracle Cloud Infrastructure (OCI) Document Understanding service offers several capabilities, including extracting tables, classifying documents, and extracting text. However, it does not generate transcripts from documents. Transcription typically refers to converting spoken language into written text, which is a function associated with speech-to-text services, not document understanding services. Therefore, generating a transcript is outside the scope of what OCI Document Understanding is designed to do .

25. Frage
What are Convolutional Neural Networks (CNNs) primarily used for?

A. Time series prediction
B. Text processing
C. Image classification
D. Image generation

Antwort: C

Begründung:
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.

26. Frage
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1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Dumps & PassGuide 1Z0-1122-25 Examen

1Z0-1122-25 Zertifikatsdemo & 1Z0-1122-25 Buch

Oracle 1Z0-1122-25 Prüfungsplan:

Oracle Cloud Infrastructure 2025 AI Foundations Associate 1Z0-1122-25 Prüfungsfragen mit Lösungen (Q21-Q26):

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