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Oracle 1z0-1122-24 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.
Topic 3	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 4	OCI Generative AI and Oracle 23ai: This section covers CI Generative AI Services that are a key component of Oracle's AI offerings, and exploring these services provides a clear understanding of how Oracle supports generative AI applications.
Topic 5	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 6	Intro to Generative AI & LLMs: This section is about covering generative AI which represents a powerful area of AI that involves creating new content or data. Exploring the overview of Generative AI helps in understanding its potential and applications.

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

A. Embedding models
B. Generation models
C. Translation models
D. Chat models

Answer: C

Explanation:
The OCI Generative AI service offers various categories of pretrained foundational models, including Embedding models, Chat models, and Generation models. These models are designed to perform a wide range of tasks, such as generating text, answering questions, and providing contextual embeddings. However, Translation models, which are typically used for converting text from one language to another, are not a category available in the OCI Generative AI service's current offerings. The focus of the OCI Generative AI service is more aligned with tasks related to text generation, chat interactions, and embedding generation rather than direct language translation.

NEW QUESTION # 18
What is the primary purpose of reinforcement learning?

A. Learning from outcomes to make decisions
B. Identifying patterns in data
C. Finding relationships within data sets
D. Making predictions from labeled data

Answer: A

Explanation:
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment to achieve a certain goal. The agent receives feedback in the form of rewards or penalties based on the outcomes of its actions, which it uses to learn and improve its decision-making over time. The primary purpose of reinforcement learning is to enable the agent to learn optimal strategies by interacting with its environment, thereby maximizing cumulative rewards. This approach is commonly used in areas such as robotics, game playing, and autonomous systems.

NEW QUESTION # 19
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

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

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 # 20
What are Convolutional Neural Networks (CNNs) primarily used for?

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

Answer: A

Explanation:
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.

NEW QUESTION # 21
What is the purpose of Attention Mechanism in Transformer architecture?

A. Break down a sentence into smaller pieces called tokens.
B. Convert tokens into numerical forms (vectors) that the model can understand.
C. Apply a specific function to each word individually.
D. Weigh the importance of different words within a sequence and understand the context.

Answer: D

Explanation:
The purpose of the Attention Mechanism in Transformer architecture is to weigh the importance of different words within a sequence and understand the context. In essence, the attention mechanism allows the model to focus on specific parts of the input sequence when producing an output, which is crucial for understanding context and maintaining coherence over long sequences. It does this by assigning different weights to different words in the sequence, enabling the model to capture relationships between words that are far apart and to emphasize relevant parts of the input when generating predictions.
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NEW QUESTION # 22
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Try Oracle 1z0-1122-24 Questions - Best Way To Go Through 1z0-1122-24 Exam [2025]

Oracle 1z0-1122-24 Exam Syllabus Topics:

Latest Upload Oracle Valid 1z0-1122-24 Exam Experience - Oracle Cloud Infrastructure 2024 AI Foundations Associate Test Duration

Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q17-Q22):

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