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Oracle 1z0-1122-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Intro to OCI AI Services	20%	- OCI Document Understanding - OCI Speech - OCI Vision - OCI Language
Topic 2: Intro to Generative AI and LLMs	15%	- Explain Prompt Engineering and Instruction Tuning - Discuss Generative AI Overview - Discuss Large Language Models Fundamentals - Explain Transformers Fundamentals - Explain LLM Fine Tuning
Topic 3: Get started with OCI AI Portfolio	15%	- Discuss OCI ML Services Overview - Discuss OCI AI Services Overview - Explain Responsible AI - Discuss OCI AI Infrastructure Overview
Topic 4: Intro to DL Foundations	15%	- Explain Sequence Models (RNN and LSTM) - Explain Convolutional Models (CNN) - Discuss Deep Learning Fundamentals
Topic 5: Intro to ML Foundations	15%	- Explain Machine Learning Basics - Discuss Unsupervised Learning Fundamentals - Discuss Supervised Learning Fundamentals 1. Classification 2. Regression - Discuss Reinforcement Learning Fundamentals
Topic 6: Intro to AI Foundations	10%	- Discuss AI Basics - Discuss AI Applications and Types of Data - Explain AI vs ML vs DL
Topic 7: OCI Generative AI and Oracle 23ai	10%	- Discuss Autonomous Database Select AI - Discuss Oracle Vector Search - Describe OCI Generative AI Services

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Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q28-Q33):

NEW QUESTION # 28
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 disregard model size and prioritize high-quality data only.
C. They prioritize larger model sizes to achieve better performance.
D. They focus on increasing the number of tokens while keeping the model size constant.

Answer: A

NEW QUESTION # 29
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

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

Answer: A

NEW QUESTION # 30
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

A. Document Understanding
B. Language
C. Vision
D. Speech

Answer: D

Explanation:
For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the " Speech " service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.

NEW QUESTION # 31
What key objective does machine learning strive to achieve?

A. Improving computer hardware
B. Explicitly programming computers
C. Creating algorithms to solve complex problems
D. Enabling computers to learn and improve from experience

Answer: D

Explanation:
The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task.
As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.

NEW QUESTION # 32
Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

A. It provides real-time translation of text.
B. It converts audio files into text.
C. It recognizes and extracts text from a document.
D. It enhances the visual quality of documents.

Answer: C

Explanation:
The Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure (OCI) Document Understanding recognizes and extracts text from documents. This capability is fundamental for converting printed or handwritten text into a machine-readable format, allowing for further processing, such as text analysis, search, and archiving. OCI ' s OCR is an essential tool in automating document processing workflows, enabling businesses to digitize and manage their documents efficiently.

NEW QUESTION # 33
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