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Oracle 1z0-1122-24 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.

Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q11-Q16):

NEW QUESTION # 11
What is the primary purpose of reinforcement learning?

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

Answer: D

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 # 12
What can Oracle Cloud Infrastructure Document Understanding NOT do?

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

Answer: C

Explanation:
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 .

NEW QUESTION # 13
What distinguishes Generative AI from other types of AI?

A. Generative AI involves training models to perform tasks without human intervention.
B. Generative AI focuses on making decisions based on user interactions.
C. Generative AI uses algorithms to predict outcomes based on past data.
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 # 14
Which capability is supported by Oracle Cloud Infrastructure Language service?

A. Translating text into speech
B. Detecting objects and scenes in images
C. Analyzing text to extract structured information like sentiment or entities
D. Converting text into images

Answer: C

Explanation:
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.

NEW QUESTION # 15
In machine learning, what does the term "model training" mean?

A. Establishing a relationship between input features and output
B. Analyzing the accuracy of a trained model
C. Writing code for the entire program
D. Performing data analysis on collected and labeled data

Answer: A

Explanation:
In machine learning, "model training" refers to the process of teaching a model to make predictions or decisions by learning the relationships between input features and the corresponding output. During training, the model is fed a large dataset where the inputs are paired with known outputs (labels). The model adjusts its internal parameters to minimize the error between its predictions and the actual outputs. Over time, the model learns to generalize from the training data to make accurate predictions on new, unseen data.

NEW QUESTION # 16
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1z0-1122-24 Reliable Exam Topics - 1z0-1122-24 Excellect Pass Rate

Oracle 1z0-1122-24 Excellect Pass Rate - Review 1z0-1122-24 Guide

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q11-Q16):

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