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Oracle 1z0-1122-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Intro to ML Foundations: This section covers Machine Learning (ML) which is a critical area within AI, and understanding its fundamentals is crucial for anyone interested in this field. The section covers delving into the basics of ML allowing for a better grasp of how machines learn from data.
Topic 2	Intro to DL Foundations: This section covers Deep Learning (DL) is a subset of ML that focuses on neural networks with many layers, and understanding its core concepts is vital for working with complex models.
Topic 3	Get Started with OCI AI Portfolio: This section is about the OCI AI Portfolio which offers a comprehensive suite of services and infrastructure for developing and deploying AI models. Exploring the overview of OCI AI Services provides insight into the tools available for AI development.
Topic 4	Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.
Topic 5	Intro to OCI AI Services: This section is about exploring OCI AI Services and their related APIs, such as those for Language, Vision, Document Understanding, and Speech, which are essential for developers and businesses looking to integrate AI into their operations.

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q41-Q46):

NEW QUESTION # 41
What is the purpose of the model catalog in OCI Data Science?

A. To deploy models as HTTP endpoints
B. To provide a preinstalled open source library
C. To store, track, share, and manage models
D. To create and switch between different environments

Answer: C

Explanation:
The primary purpose of the model catalog in OCI Data Science is to store, track, share, and manage machine learning models. This functionality is essential for maintaining an organized repository where data scientists and developers can collaborate on models, monitor their performance, and manage their lifecycle. The model catalog also facilitates model versioning, ensuring that the most recent and effective models are available for deployment. This capability is crucial in a collaborative environment where multiple stakeholders need access to the latest model versions for testing, evaluation, and deployment.

NEW QUESTION # 42
What distinguishes Generative AI from other types of AI?

A. Generative AI uses algorithms to predict outcomes based on past data.
B. Generative AI focuses on making decisions based on user interactions.
C. Generative AI involves training models to perform tasks without human intervention.
D. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.

Answer: D

Explanation:
Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.

NEW QUESTION # 43
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

A. Detecting vehicle number plates to issue speed citations
B. Analyzing historical data for unusual patterns
C. Detecting and preventing fraud in financial transactions
D. Generating realistic images from text

Answer: A

Explanation:
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.

NEW QUESTION # 44
What would you use Oracle AI Vector Search for?

A. Query data based on keywords.
B. Manage database security protocols.
C. Store business data in a cloud database.
D. Query data based on semantics.

Answer: D

Explanation:
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 .

NEW QUESTION # 45
What does "fine-tuning" refer to in the context of OCI Generative AI service?

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

Answer: A

Explanation:
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.

NEW QUESTION # 46
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Fully Updated Oracle 1z0-1122-24 Dumps - Ensure Your Success With 1z0-1122-24 Exam Questions

Oracle 1z0-1122-24 Exam Syllabus Topics:

Oracle 1z0-1122-24 Three formats

Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q41-Q46):

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