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Oracle 1z0-1122-26 Exam Syllabus Topics:

Section	Objectives
Topic 1: Artificial Intelligence and Machine Learning Fundamentals	- Machine Learning Fundamentals 1. Supervised and unsupervised learning 2. Machine learning models and architectures - Deep Learning Fundamentals 1. Convolutional and sequence models 2. Neural networks - Artificial Intelligence Concepts 1. AI fundamentals and terminology 2. AI use cases and applications
Topic 2: Oracle AI and Machine Learning Services	- OCI AI Services 1. Speech 2. Vision 3. Language 4. Document Understanding - Oracle AI Stack 1. AI infrastructure 2. AI data and machine learning services - OCI Machine Learning Services 1. Machine learning capabilities in OCI 2. OCI Data Science and machine learning workflows
Topic 3: Generative AI and Large Language Models	- Generative AI Fundamentals 1. Generative AI concepts and capabilities 2. Generative AI use cases - Large Language Models 1. Language models and generative AI applications 2. LLM fundamentals
Topic 4: OCI Generative AI and Oracle Database AI Capabilities	- AI Application Frameworks 1. Language frameworks 2. Retrieval and AI application concepts - OCI Generative AI 1. OCI Generative AI services 2. Generative AI models and applications - Oracle AI Database 1. Vector database concepts 2. AI capabilities in Oracle Database

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Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

A. Natural Language Processing
B. Computer Vision
C. Natural Language Processing
D. Anomaly Detection

Answer: A

Explanation:
Natural Language Processing (NLP) is the AI domain associated with tasks such as identifying the sentiment of text and translating text between languages. NLP focuses on enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful. This domain covers a wide range of applications, including text classification, language translation, sentiment analysis, and more, all of which involve processing and analyzing natural language data.

NEW QUESTION # 21
What would you use Oracle AI Vector Search for?

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

Answer: C

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 # 22
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

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

Answer: D

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 # 23
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

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

Answer: C

Explanation:
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.

NEW QUESTION # 24
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

A. They ensure that the model size, training time, and data size are balanced for optimal results.
B. They focus on increasing the number of tokens while keeping the model size constant.
C. They prioritize larger model sizes to achieve better performance.
D. They disregard model size and prioritize high-quality data only.

Answer: A

NEW QUESTION # 25
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